Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>BorealToadOverallRange is an ESRI SDE Feature Class showing Overall Range for Boreal Toad (Bufo boreas) in Colorado.</SPAN><SPAN>Overall Range is defined as the area that encompasses all known activity areas within the observed range of a population of Boreal Toads. </SPAN></P><P><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></P><P><SPAN>These data are updated as needed and last updated prior to 2008.</SPAN></P></DIV></DIV></DIV>
Copyright Text: The data was collected by the Colorado Parks and Wildlife, Boreal Toad Recovery Team, which includes Colorado Natural Heritage Program, US Forest Service, US Geological Service, and private contractors.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>NorthernLeopardFrog is an Esri feature class representing the potential distribution of the northern leopard frog, using CNHP, iNaturalist, and Herpmapper records intersected with HUC12 boundaries.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CNHP, CPW, USGS, US DOI, USFWS, Esri, iNaturalist
Name: Western Narrow-mouthed Toad (Gastrophryne olivacea)
Display Field: HUCName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset shows HUC12s containing a verified occurrence of Great Plains Narrow-mouthed Toad (Gastrophryne olivacea) since 1970 in Colorado based on records in Colorado Parks and Wildlife Herptile database.</SPAN></P><P><SPAN><SPAN>These data were last updated in May 2020.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird residents are species that are present in the same location year-round and do not undertake seasonal, long-distance migrations. Whether a species is considered resident or migratory can vary by region. Species marked as "resident" are assessed for population trends throughout the entire year. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>CSTGrouseOverallRange is an ESRI SDE Feature Class showing overall range for Columbian Sharp-tailed Grouse (Tympanuchus phasianellus columbianus) in Colorado. Overall Range is defined as an area that encompasses all mapped seasonal activity areas within the observed range of a population of Columbian Sharp-tailed Grouse. </SPAN></P><P><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></P><P><SPAN>These data are updated on a four year rotation with one of the four Colorado Parks and Wildlife Regions updated each year. The data are not updated on a statewide level annually. Last Regional Updates NE:2022, SE:2021, SW:2024, NW:2023. Calendar date refers to the most current date the data has been published.</SPAN></P><P><SPAN>While a complete data review and the majority of data updates occur during these scheduled Regional Updates, changes to the data in any region may occur annually based on new information obtained through telemetry and field studies. It is recommended that these data be downloaded annually.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Name: Eastern Black Rail (Laterallus jamaicensis jamaicensis)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>EasternBlackRail is an Esri feature class that displays the potential distribution of the eastern black rail distribution across Colorado by county, per CPW expert knowledge.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CNHP, CPW, USGS, US DOI, USFWS, Esri
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>GrSageGrouseOverallRange is an ESRI SDE Feature Class showing those areas that encompass all mapped seasonal activity areas within the observed range of a population of sage grouse. </SPAN></SPAN></P><P><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P><P><SPAN>Last updated in 2013.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>GreaterSandhillCraneOverallRange is an ESRI SDE Feature Class of Overall Range for Greater Sandhill Cranes in Colorado. Overall Range is defined as an area below 9500 feet which encompasses all known seasonal activity areas of the Colorado subpopulation of greater sandhill crane. </SPAN></SPAN></P><P><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P><P><SPAN>These data are updated on a four year rotation with one of the four Colorado Parks and Wildlife Regions updated each year. The data are not updated on a statewide level annually. Last Regional Updates NE:2022, SE:2021, SW:2024, NW:2023. Calendar date refers to the most current date the data has been published.</SPAN></P><P><SPAN>While a complete data review and the majority of data updates occur during these scheduled Regional Updates, changes to the data in any region may occur annually based on new information obtained through telemetry and field studies. It is recommended that these data be downloaded annually.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>Gunnison sage grouse GIS data set identifying occupied, potential and vacant/unknown habitats in Colorado. The data set was created by mapping efforts of the Colorado Division of Wildlife biologist and district officers during the spring of 2004 and updated as recently as summer of 2009. Occupied Habitat: Areas of suitable habitat known to be used by sage-grouse within the last 10 years from the date of mapping. Areas of suitable habitat contiguous with areas of known use, which do not have effective barriers to sage-grouse movement from known use areas, are mapped as occupied habitat unless specific information exists that documents the lack of sage-grouse use. Mapped from any combination of telemetry locations, sightings of sage grouse or sage grouse sign, local biological expertise, GIS analysis, or other data sources. Vacant or Unknown Habitat: Suitable habitat for sage-grouse that is separated (not contiguous) from occupied habitats that either: 1) Has not been adequately inventoried, or 2) Has not had documentation of grouse presence in the past 10 years. Potentially Suitable Habitat: Unoccupied habitats that could be suitable for occupation of sage-grouse if practical restoration were applied. Soils or other historic information (photos, maps, reports, etc.) indicate sagebrush communities occupied these areas. As examples, these sites could include areas overtaken by pinyon-juniper invasions or converted rangelands</SPAN></P></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Colorado Lesser Prairie Chicken EOR is</SPAN><SPAN>an area which encompasses all known seasonal activities within the observed range of the lesser prairie chicken. The range was mapped and edited by the Colorado Parks and Wildlife (CPW) Bird Conservation Coordinator, CPW Area 12 Wildlife Biologist (where the bird range is located) and the CPW GIS Unit. The purpose of this layer is to indicate suitable range within Colorado for the Lesser Prairie Chicken based on suitable habitat present. Data used to help map the range include area soil data, CRP property and location of known Lesser Prairie Chicken leks.</SPAN></P><P><SPAN>The range was separated into two Ecoregions Sandsage and Shortgrass to indicate the habitat type the range falls in.</SPAN></P><P><SPAN STYLE="font-size:16pt"><SPAN>As a component of the 5-Year Review of the Range-wide Conservation Plan (Van Pelt et al. 2013), the Interstate Working Group (IWG) evaluated and re-mapped (as necessary) the Estimated Occupied Range (EOR) along with the Focal Areas (CHAT 1) and Connectivity Zones (CHAT 2) across lesser prairie-chicken (LPC) range in Colorado, Kansas, Oklahoma, Texas, and New Mexico. The IWG used the criteria below to adjust the EOR and Focal Area and Connectivity Zone delineations. The proposed mapping revisions are based on best available science and local knowledge. The IWG presented the initial proposed mapping changes to the LPC State Implementation Teams for review in late 2019 and early 2020. Recommended changes to the range-wide EOR boundary will be included in the 10-year review of the RWP. The current 5-year Review will only recommend changes to Focal Areas (CHAT 1) and Connectivity Areas (CHAT 2) such that there is no change to the EOR+10 in the RWP (Van Pelt et. al 2013) and associated area of coverage for the LPC Candidate Conservation Agreement with Assurances (CCAA) (USFWS 2014). However, individual states may decide to use the updated EOR mapping for land-use recommendations and targeting habitat conservation and restoration. Colorado Parks and Wildlife (CPW) will use current biologically-based mapping for LPC conservation in Colorado. </SPAN></SPAN></P><P><SPAN><SPAN>Colorado Parks and Wildlife revised LPC mapping was completed by Liza Rossi (Bird Conservation Coordinator), Jonathan Reitz (Lamar Terrestrial Biologist), and Michelle Flenner (GIS Specialist) in July 2019. CPW made adjustments to the EOR as well as Focal Areas (CHAT 1) and Connectivity Zones (CHAT 2). Mapping adjustments were based on the information below.</SPAN></SPAN></P><UL STYLE="margin:0 0 0 0;padding:0 0 0 0;"><LI><P><SPAN><SPAN>The EOR was expanded to include the majority of documented leks, including areas in Cheyenne County not included in 2013. The northern portion of the proposed EOR would connect to Kansas and be included in the Shortgrass/CRP Mosaic Ecoregion rather than the Sand Sagebrush Ecoregion. </SPAN></SPAN></P></LI><LI><P><SPAN><SPAN>Jonathan Reitz increased CPW lek searching effort in spring 2019 in order to help inform CHAT (Focal Area and Connectivity Zones) mapping and EOR review and revisions. He increased efforts in anticipation that the IWG would be reviewing and proposing changes to the CHAT layers and potentially EOR as part of the 5-year RWP review. During 2019 intensified lek searches, Jonathan identified multiple new leks in Cheyenne County. However, a lek in eastern and northern Cheyenne County near the Kansas state line, but outside mapped EOR, has been documented since 2015. </SPAN></SPAN></P></LI><LI><P><SPAN><SPAN>For proposed changes in Cheyenne County, we used lek data to include areas outside of the current EOR, but which now clearly have lesser prairie-chickens. LPC leks (many of which are mixed LPC and greater prairie-chicken leks) in this area have also been located by consultants surveying for wind companies. </SPAN></SPAN></P></LI><LI><P><SPAN><SPAN>For the proposed changes in Baca County, it is important to note that we used locations from translocated LPC, which have changed our understanding of LPC habitat use in southeastern Colorado. The translocated LPC are using CRP grasslands and portions of shortgrass and mid-grass prairie that were not originally included in the sand sagebrush prairie CHAT mapping. 2013 CHAT mapping focused largely on sandy soils and excluded many of the soils associated with shortgrass and mid-grass areas. </SPAN></SPAN></P></LI><LI><P><SPAN><SPAN>We are proposing to reduce the EOR in Prowers County based on local knowledge of LPC use in the area. Although there is a single historic lek identified in this area, this lek was only documented during a single year and had only three birds on it.</SPAN></SPAN></P></LI></UL><P><SPAN><SPAN>The proposed changes were presented at the Colorado LPC State Implementation Team Meeting in Lamar on November 14, 2019. The group there was supportive of the changes and thought we should reflect our biological understanding of LPC distribution rather than being confined by the 2013 RWP covered area. CPW is proposing these changes to reflect current distribution of LPC in Colorado. CPW updates Species Activity Mapping (SAM) every four years across Colorado. SAM mapping will be updated for the CPW SE Region in 2020 and the updated Colorado EOR as well as proposed CHAT 1 and CHAT 2 will be incorporated in CPW mapping. The proposed changes were reviewed and agreed to by CPW Area 12 personnel at an Area Meeting on February 5, 2020. Although CPW will move forward with this mapping for Colorado conservation efforts, formal changes to the covered area of the RWP (2013 EOR +10, Van Pelt et al. 2013) or the Range-wide Oil and Gas Candidate Conservation Agreement with Assurances for the Lesser Prairie-Chicken (CCAA, USFWS 2014) will be evaluated through the 10-Year Review of the RWP or an update to the CCAA). Changes to the CHAT mapping will be presented as part of the 5-year Review to the Lesser Prairie-Chicken Initiative Council. </SPAN></SPAN></P><P /><P><SPAN><SPAN>USFWS. 2014. Range-Wide Oil and Gas Candidate Conservation Agreement with Assurances for the Lesser Prairie-Chicken (</SPAN></SPAN><SPAN STYLE="font-style:italic;"><SPAN>Tympanuchus pallidicinctus</SPAN></SPAN><SPAN><SPAN>) in Colorado Kansas, New Mexico, Oklahoma, and Texas. 78 FR 76639.</SPAN></SPAN></P><P><SPAN><SPAN>Van Pelt, W.E., S. Kyle, J. Pitman, D. Klute, G. Beauprez, D. Schoeling, A. Janus, J. Haufler. 2013. The Lesser Prairie-Chicken Range-wide Conservation Plan. Western Association of Fish and Wildlife Agencies. Cheyenne, Wyoming. Pp.367.</SPAN></SPAN></P><P><SPAN><SPAN>Interstate Working Group Members include: Kent Fricke, chair (Kansas Department of Wildlife, Parks and Tourism), Liza Rossi (Colorado Parks and Wildlife), Brett Cooper (Oklahoma Department of Wildlife Conservation), Grant Beauprez (New Mexico Department of Game and Fish), and Russell Martin (Texas Parks and Wildlife Department).</SPAN></SPAN></P><P><SPAN /><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Name: Mexican Spotted Owl (Strix occidentalis lucida)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>To provide the user with a general idea of areas where final critical habitat for Mexican spotted owl (Strix occidentalis lucida) occur.</SPAN></P></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird residents are species that are present in the same location year-round and do not undertake seasonal, long-distance migrations. Whether a species is considered resident or migratory can vary by region. Species marked as "resident" are assessed for population trends throughout the entire year. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>PipingPloverForagingArea is an ESRI SDE Feature Class showing an area generally associated with a nesting area and which provides a source of food for Piping Plovers. Appropriate habitat includes shallow water areas along exposed beach substrates associated with lakes, ponds, and beaches, and dry, barren sandbars along backwater river areas which provide abundant macroinvertebrate and insect populations. These areas fluctuate with changing water levels on large irrigation reservoirs. </SPAN></SPAN></P><P><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P><P><SPAN>These data are updated on a four year rotation with one of the four Colorado Parks and Wildlife Regions updated each year. The data are not updated on a statewide level annually. Last Regional Updates NE:2022, SE:2021, SW:2024, NW:2023. Calendar date refers to the most current date the data has been published.</SPAN></P><P><SPAN>While a complete data review and the majority of data updates occur during these scheduled Regional Updates, changes to the data in any region may occur annually based on new information obtained through telemetry and field studies. It is recommended that these data be downloaded annually.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>PSTGrouseOverallRange is an ESRI SDE Feature Class showing Overall Range for Plains Sharp-tailed Grouse (Tympanuchus jamesii) in Colorado. Overall Range is defined as areas which encompasses all mapped seasonal activity areas within the observed range of a population of Plains Sharp-tailed Grouse. </SPAN></SPAN></P><P><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P><P><SPAN>These data are updated on a four year rotation with one of the four Colorado Parks and Wildlife Regions updated each year. The data are not updated on a statewide level annually. Last Regional Updates NE:2022, SE:2021, SW:2024, NW:2023. Calendar date refers to the most current date the data has been published.</SPAN></P><P><SPAN>While a complete data review and the majority of data updates occur during these scheduled Regional Updates, changes to the data in any region may occur annually based on new information obtained through telemetry and field studies. It is recommended that these data be downloaded annually.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird residents are species that are present in the same location year-round and do not undertake seasonal, long-distance migrations. Whether a species is considered resident or migratory can vary by region. Species marked as "resident" are assessed for population trends throughout the entire year. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: PtarmiganOverallRange is an ESRI SDE Feature Class showing Overall Range for White-Tailed Ptarmigan (Lagopus leucurus) in Colorado. Overall Range is defined as the probable range of White-tailed Ptarmigan in Colorado as determined from the following criteria: Areas greater than 10,800 feet in elevation; Colorado GAP vegetation types Mixed Tundra, Meadow Tundra, Prostrate Shrub Tundra, Bare Ground Tundra, Exposed Rock, Shrub Dominated Wetland/Riparian, and Graminoid/Forb Dominated Wetland. This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).These data are updated on a four year rotation with one of the four Colorado Parks and Wildlife Regions updated each year. The data are not updated on a statewide level annually. Last Regional Updates NE:2022, SE:2025, SW:2024, NW:2023. Calendar date refers to the most current date the data has been published.While a complete data review and the majority of data updates occur during these scheduled Regional Updates, changes to the data in any region may occur annually based on new information obtained through telemetry and field studies. It is recommended that these data be downloaded annually.
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>SouthwesternWillowFlycatcher is an Esri feature class representing the range of the species, understood by the USFWS.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Name: Western Yellow-billed Cuckoo (Coccyzus americanus occidentalis)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Current range map created by USFWS: Last Updated: 06-12-2023 - The current description of the Yellow-billed cuckoo range is Western DPS: U.S.A. (AZ, CA, CO (western), ID, MT (western), NM (western), NV, OR, TX (western), UT, WA, WY (western)); Canada (British Columbia (southwestern); Mexico (Baja California, Baja California Sur, Chihuahua, Durango (western), Sinaloa, Sonora). This layer was downloaded from the USFWS species website https://ecos.fws.gov/ecp/species/3911. It was then clipped to the Colorado Boundary for use in the 2025 Colorado SWAP analysis.
Copyright Text: U.S. Fish and Wildlife Service; CPW altered for use in 2025 SWAP analysis.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>eBird breeding and non-breeding season dates are defined for each species as the weeks when the species’ population does not move. For this reason, these seasons are also described as stationary periods. The dates were defined by experts in the status and distribution of birds based on the weekly abundance maps. The selected dates were then checked to make sure that they generally matched expected patterns of phenology for the species. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>eBird migration periods are defined as the periods of movement between the stationary non-breeding and breeding seasons. Note that for many species these migratory periods include not only movement from breeding grounds to non-breeding grounds, but also post-breeding dispersal, molt migration, and other movements. For some species, the transition between stationary and migratory seasons is not clear. Both breeding and non-breeding ranges are often represented within the migratory seasons since some individuals will have arrived in those areas while other individuals of the species are still migrating. In these cases transitional weeks were excluded to provide the clearest picture of individual seasons. For some species, this resulted in seasons that appear shorter than expected, especially when considered within specific regions. Refer to </SPAN><A href="https://science.ebird.org/en/status-and-trends" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>eBird Status and Trends</SPAN></SPAN></A><SPAN> for more information.</SPAN></P><P><SPAN>eBird data were downloaded by CNHP 20250804 under a Data Licensing Agreement for the 2025 SWAP.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, S. Ligocki, O. Robinson, W. Hochachka, L. Jaromczyk, C. Crowley, K. Dunham, A. Stillman, I. Davies, A. Rodewald, V. Ruiz-Gutierrez, C. Wood. 2023. eBird Status and Trends, Data Version: 2022; Released: 2023. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.2173/ebirdst.2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Arkansas Darter HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Arkansas Darter are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: Bluehead Sucker HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Bluehead Sucker are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Bonytail HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Bonytail are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Brassy Minnow HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Brassy Minnow are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Colorado Pikeminnow HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Colorado Pikeminnow are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Name: Colorado River Cutthroat Trout (Oncorhynchus clarkii pleuriticus)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Cutthroat Trout HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of all species of Cutthroat Trout are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Common Shiner HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Common Shiner are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: Eagle River Sculpin HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Eagle River Sculpin are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: Flannelmouth Sucker HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Flannelmouth Sucker are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Flathead Chub HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Flathead Chub are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: Greenback Cutthroat Trout HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Greenback Cutthroat Trout are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Humpback Chub HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Humpback Chub are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Lake Chub HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Lake Chub are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: Mountain Whitefish HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Mountain Whitefish are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Northern Redbelly Dace HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Northern Redbelly Dace are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Orange-spotted Sunfish HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Orange-spotted Sunfish are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Orangethroat Darter HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Orangethroat Darter are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Plains Minnow HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Plains Minnow are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Plains Topminnow HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Plains Topminnow are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Razorback Sucker HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Razorback Sucker are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rio Grande Chub HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Rio Grande Chub are known to occur in Colorado </SPAN><SPAN>based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Name: Rio Grande Cutthroat Trout (Oncorhynchus clarkii virginalis)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Rio Grande Cutthroat Trout HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Rio Grande Cutthroat Trout are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rio Grande Sucker HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Rio Grande Sucker are known to occur in Colorado </SPAN><SPAN>based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: Roundtail Chub HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Roundtail Chub are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.These data were last updated in March 2025.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Southern Redbelly Dace HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Southern Redbelly Dace are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Stonecat HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Stonecat are known to occur in Colorado based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Suckermouth Minnow HUC 12 Presence is an ESRI SDE Feature Class depicting the Hydrologic Unit Code 12 boundaries where a population of Suckermouth Minnow are known to occur in Colorado </SPAN><SPAN>based on occurrences between Jan. 2008 and Dec. 2022 aggregated at the HUC12 level. </SPAN></P><P><SPAN>This information was derived from species experts. A variety of data capture techniques were used. Various sources were referenced in developing these data.</SPAN></P><P><SPAN>These data were last updated in March 2025.</SPAN></P></DIV></DIV></DIV>
Description: PikaOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of American Pika in Colorado. American Pika is primarily associated with talus and rockpiles near fields fringed by suitable vegetation in alpine and subalpine mountain areas.This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including Mammals of Colorado; areas delineated by predictive modeling using various Colorado American Pika collection records, elevation ranges, slope ranges, aspect ranges, and SWReGAP vegetation classes; and CPW Scientific Collection data.This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.These data were last updated in December 2019.
Copyright Text: Colorado Parks and Wildlife Biologists Amy Seglund
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>BigBrownBatOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Big Brown Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>BighornOverallRange is an ESRI SDE Feature Class showing Overall Range for Bighorn Sheep in Colorado. Overall Range is defined as the area which encompasses all known activity areas within the observed range of a population. </SPAN></P><P><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></P><P><SPAN>These data are updated on a four year rotation with one of the four Colorado Parks and Wildlife Regions updated each year. The data are not updated on a statewide level annually. Last Regional Updates NE:2022, SE:2021, SW:2024, NW:2023. Calendar date refers to the most current date the data has been published.</SPAN></P><P><SPAN>While a complete data review and the majority of data updates occur during these scheduled Regional Updates, changes to the data in any region may occur annually based on new information obtained through telemetry and field studies. It is recommended that these data be downloaded annually.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>BFFerret_ReleaseSites is an ESRI SDE Feature Class showing reintroduction release sites of Black-Footed Ferrets in Colorado since 2001.</SPAN></P><P><SPAN>Releases on public lands are depicted by the administrative boundary of the property ferrets were released. Due to state statutory requirements and agreements made with individual landowners to protect their privacy, release sites occurring on private land have been generalized to the county in which they occurred. Ferrets will not be found within all areas of these boundaries and will only likely occur in areas with active prairie dog colonies. </SPAN></P><P><SPAN>This dataset was compiled from coordination from CPW with USFWS, BLM and others. It is to be used as a guide on release activities only.</SPAN></P><P><SPAN>These data are updated as needed and were last updated in 2021.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CPW, USFWS, BLM, Fort Collins Natural Areas
Name: Black-tailed Prairie Dog (Cynomys ludovicianus)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>BTPrairieDogOverallRange is an ESRI SDE Feature Class showing an area which encompasses all known seasonal activity areas within the range of a population of black-tailed prairie dogs. </SPAN></SPAN></P><P><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P><P><SPAN>These data are updated as needed and were last updated in 2021.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>CaliforniaMyotisOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of California Myotis Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: Recently, collaborators from the USFS, CPW, and University of Wyoming published a paper that describes a revised habitat mapping effort for Canada lynx in Colorado. The new map was built using recent GPS data on lynx in the state, contemporary analytical methods, and a host of new, updated covariate layers. The new map represents a significant reduction in mapped lynx habitat compared to older maps produced by CPW and USFS. However, we think it is the most accurate depiction yet of lynx habitat in the state, and it coincides nicely with the known distribution of lynx in Colorado. Hopefully it will serve to focus conservation efforts where they can be most effective. For management purposes, the GIS layer from the paper has been added to SDE and symbolized according to recommendations in the publication: Likely habitat includes polygons that captured 95% of withheld testing data and defines habitat that most likely supports breeding populations of Canada lynx. Core habitat includes polygons nested within Likely habitat that captured the innermost 50% of the withheld testing data, which delineates the highest quality habitat with the greatest probability of use - the best of the best. Unlikely habitat includes areas that fell outside the polygons that captured 95% of the withheld testing data and defines areas of poor habitat quality with low chance of sustained lynx occupancy. We suggest that land use comments focus on those areas that fall within the Likely or Core polygons.https://doi.org/10.1007/s10531-024-02978-8CPW updated 1/6/2025
Copyright Text: John R. Squires · Lucretia E. Olson · Jacob S. Ivan · Peter M. McDonald · Joseph D. Holbrook
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>CanyonBatOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Canyon Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>RedBatOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Red Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>FringedMyotisOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Fringed Myotis Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>GrayWolf is an Esri feature class that displays the potential distribution of the gray wolf distribution across Colorado, per CPW expert knowledge.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CNHP, CPW, USGS, US DOI, USFWS, Esri
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>GunnPrairieDogOverallRange is an ESRI SDE Feature Class showing an area which encompasses all known seasonal activity areas within the range of a population of Gunnison prairie dog. </SPAN></SPAN></P><P><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P><P><SPAN>These data are updated on a four year rotation with one of the four Colorado Parks and Wildlife Regions updated each year. The data are not updated on a statewide level annually. Last Regional Updates NE:2022, SE:2021, SW:2024, NW:2023. Calendar date refers to the most current date the data has been published.</SPAN></P><P><SPAN>While a complete data review and the majority of data updates occur during these scheduled Regional Updates, changes to the data in any region may occur annually based on new information obtained through telemetry and field studies. It is recommended that these data be downloaded annually.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: LittleBrownMyotisOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Little Brown Myotis Bats in Colorado. This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.These data were last updated in January 2019.
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>LongEaredMyotisOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Long-eared Myotis Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>LongLeggedMyotisOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Long-legged Myotis Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Name: New Mexico Meadow Jumping Mouse (Zapus hudsonius luteus)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>NMJMOverallRange is an ESRI ArcSDE feature class showing the Overall Range for New Mexico Meadow Jumping Mouse (Zapus hudsonius luteus) in Colorado. Overall Range is defined as the area which encompasses the probable range of New Mexico Meadow Jumping Mouse in Colorado. New Mexico Meadow Jumping Mouse is primarily associated with riparian corridors of small intermittent and perennial streams where riparian herbaceous and riparian shrub (primarily willow) dominate.</SPAN></P><P><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximinzing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P><P><SPAN>These data were last updated in 2017.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Species Coordinator.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>HoaryBatOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Hoary Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Plains Spotted Skunk in Colorado is depicted at the HUC 10 level. Armstrong et al. 2011. Mammals of Colorado was used to generate range maps with watersheds labeled as "within range". Range map was created in 2021 and attributes were updated in 2025 to reflect current taxonomy and 2025 SWAP status.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>PreblesMouseOverallRange is an ESRI ArcSDE feature class showing the Overall Range for Preble's Meadow Jumping Mouse (</SPAN><SPAN STYLE="font-style:italic;">Zapus hudsonius preblei</SPAN><SPAN>) in Colorado. Overall Range is defined as the area which encompasses the probable range of Preble's Meadow Jumping Mouse along the Front Range of Colorado below 7600' elevation eastward to include those hydrounits identified by the Preble's Technical Working Group. Preble's Meadow Jumping Mouse is primarily associated with riparian corridors of small intermittent and perennial streams where riparian herbaceous and riparian shrub (primarily willow) dominate.</SPAN></P><P><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximinzing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></P><P><SPAN>These data were last updated in 2012.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Name: Silver-haired Bat (Lasionycteris noctivagans)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>SilverHairedBatOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Silver-haired Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Name: Townsend's Big-eared Bat (Corynorhinus townsendii pallescens)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>TownsendsBigEaredBatOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Townsend's Big-eared Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>TriColoredBatOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Tri-colored Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Name: Western Small-footed Myotis (Myotis ciliolabrum)
Display Field: FileName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>WesternSmallFootedMyotisOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Western Small-footed Myotis Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><P STYLE="font-size:16ptmargin:7 0 7 0;"><SPAN><SPAN>WTPrairieDogOverallRange is an ESRI SDE Feature Class showing an area which encompasses all known seasonal activity areas within the range of a population of white-tailed prairie dogs. </SPAN></SPAN></P><P STYLE="font-size:16ptmargin:7 0 7 0;"><SPAN><SPAN>This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).</SPAN></SPAN></P></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These wolverine habitat predictions were developed using radio-telemetry data collected in the Yellowstone Region of the United States and Resource Selection Function (RSF) modelling. Details of the process with which the 4 habitat layers were developed were published in the journal Biological Conservation, 2013, Vol 166 pages 276-286. Primary habitats are those areas of high enough quality that adult wolverines can reside there continuously year after year. Maternal habitats are those areas of high enough quality that female wolverines are capable of locating natal dens and rendezvous sites within (see Inman et al. 2012 Journal of Mammalogy publication for description of wolverine dens and timing of their use). Dispersal habitats are those areas of high enough quality that they may be used briefly (up to approximately 1-2 months) by male OR female wolverines while they travel to disperse from one area of primary habitat to another area of primary habitat. </SPAN></P></DIV></DIV></DIV>
Copyright Text: Originator: Robert M. Inman, rminman@craigheadinstitute.org or robert.michael.inman@gmail.com
Use Constraints: Users are required to cite the following journal article: Inman, R. M., B.L. Brock, K.H. Inman, S.S. Sartorius, B.C. Aber, B. Giddings, S.L. Cain, M.L. Orme, J.A. Fredrick, B.J. Oakleaf, K.L. Alt, E. Odell, and G. Chapron. 2013. Developing Priorities for Metapopulation Conservation at the Landscape Scale: Wolverines in the Western United States. Biological Conservation 166:276–286.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 7 0;"><SPAN>YumaMyotisOverallRange is an ESRI SDE Feature Class encompassing the observed and predicted range of a population of Yuma Myotis Bats </SPAN><SPAN><SPAN>in Colorado. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including areas delineated as 50% or higher predicted occupancy as modeled in MaxEnt using various Colorado bat site collection records, telemetry, historic records noted in Armstrong et al. 1994, and CPW Scientific Collection data.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>This generalized graphic representation of species range data is provided for informational purposes only and has not been prepared for, nor is it suitable for, any type of legal, regulatory, or site specific planning purposes. These data are subject to errors and change. Users of the information displayed in this map service are strongly cautioned to verify all information and contact local CPW Biologists before making any decisions.</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>These data were last updated in January 2019.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Copyright Text: Colorado Parks and Wildlife Biologists Tina Jackson & Dan Neubaum.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: New Mexico False Carrot (Aletes sessiliflorus)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Black Canyon Gilia (Aliciella penstemonoides)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Horseshoe Milkvetch (Astragalus desperatus var. neeseae)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: San Rafael Milkvetch (Astragalus rafaelensis)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Front Range Milkvetch (Astragalus sparsiflorus)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Colorado Green Gentian (Frasera coloradensis)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Canadian River Spiny Aster (Herrickia horrida)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Arkansas Valley Evening Primrose (Oenothera harringtonii)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Gypsum Valley Cat's-eye (Oreocarya revealii)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: White River Penstemon (Penstemon albifluvis)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Plateau Penstemon (Penstemon scariosus var. cyanomontanus)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Lime-loving Willow (Salix calcicola var. glandulosior)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: New Mexico Fishhook Cactus (Sclerocactus cloverae)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Pale Blue-eyed-grass (Sisyrinchium pallidum)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Hanging Garden Sullivantia (Sullivantia hapemanii var. purpusii)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Name: Intermountain Clover (Trifolium andinum var. andinum)
Display Field: SName
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Rare plant range in Colorado is depicted at the HUC 10 level. CNHP known occurrences (locations) and distribution models were used to generate range maps. Known occurrences are derived from CNHP field surveys, herbarium records, and the survey efforts of other professionals. Watersheds with known occurrences are labeled as present, the species is known to occur within these watersheds. Distribution models are developed using known locations and environmental factors. Modeling methods can vary by species. Watersheds without known occurrences but within modeled habitat are labeled as within range.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><P STYLE="margin:0 0 11 0;"><SPAN>CNHP Biotics, iNat and HerpMapper data were used for the underlying dot maps. Dots were grouped based on general densities. A combination of convex hull minimum bounding geometry, smooth polygon and buffer tools were used to draft the polygons. They were then adjusted according to habitat, separation barriers and revisions from experts.</SPAN></P></DIV>
Description: MassasaugaPotentialHabitat is an ESRI SDE Feature Class showing Potential Habitat for Massasauga (Sistrurus catenatus) in Colorado. Potential Habitat is defined as an area that meets environmental parameters necessary for the survival of a population of Massasauga. Massasauga are typically associated with short-grass prairie habitats at elevations below 1,675m (5,500ft.) in southeastern and east-central Colorado. This information was derived from field personnel. A variety of data capture techniques were used including drawing on mylar overlays at 1:50,000 scale USGS county mapsheets and implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35).These data were last updated prior to 2008.
Copyright Text: Colorado Parks and Wildlife Biologists, District Wildlife Managers, and Researchers.
Description: EasternHogNosedSnakeOverallRange is an ESRI SDE Feature Class encompassing the observed range of a population of Eastern Hog-nosed Snake in Colorado. This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including Amphibians and Reptiles in Colorado: A Colorado Field Guide Second Edition 1999 by Geoffrey A. Hammerson, the Colorado Herpetofaunal Atlas, and CPW Scientific Collection data.These data were last updated in April 2014.
Copyright Text: Colorado Parks and Wildlife Biologist Tina Jackson.
Description: HernandezsShortHornedLizardOverallRange is an ESRI SDE Feature Class encompassing the observed range of a population of Hernandez's Short-horned Lizard in Colorado. This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including Amphibians and Reptiles in Colorado: A Colorado Field Guide Second Edition 1999 by Geoffrey A. Hammerson, the Colorado Herpetofaunal Atlas, and CPW Scientific Collection data.These data were last updated in April 2014.
Copyright Text: Colorado Parks and Wildlife Biologist Tina Jackson.
Description: LongNosedLeopardLizardOverallRange is an ESRI SDE Feature Class encompassing the observed range of a population of Long-nosed Leopard Lizard in Colorado. This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including Amphibians and Reptiles in Colorado: A Colorado Field Guide Second Edition 1999 by Geoffrey A. Hammerson, the Colorado Herpetofaunal Atlas, and CPW Scientific Collection data.These data were last updated in April 2014.
Copyright Text: Colorado Parks and Wildlife Biologist Tina Jackson.
Description: OrnateBoxTurtleOverallRange is an ESRI SDE Feature Class encompassing the observed range of a population of Ornate Box Turtle in Colorado. This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including Amphibians and Reptiles in Colorado: A Colorado Field Guide Second Edition 1999 by Geoffrey A. Hammerson, the Colorado Herpetofaunal Atlas, and CPW Scientific Collection data.These data were last updated in April 2014.
Copyright Text: Colorado Parks and Wildlife Biologist Tina Jackson.
Description: PlainsHogNosedSnakeOverallRange is an ESRI SDE Feature Class encompassing the observed range of a population of Plains Hog-nosed Snake in Colorado. This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including Amphibians and Reptiles in Colorado: A Colorado Field Guide Second Edition 1999 by Geoffrey A. Hammerson, the Colorado Herpetofaunal Atlas, and CPW Scientific Collection data.These data were last updated in April 2014.
Copyright Text: Colorado Parks and Wildlife Biologist Tina Jackson.
Description: RoundTailedHornedLizardOverallRange is an ESRI SDE Feature Class encompassing the observed range of a population of Round-tailed Horned Lizard in Colorado. This information was derived from species experts. A variety of data capture techniques were used including implementation of the SmartBoard Interactive Whiteboard using stand-up, real-time digitizing at various scales (Cowardin, M., M. Flenner. March 2003. Maximizing Mapping Resources. GeoWorld 16(3):32-35). Various sources were referenced in developing these data including Amphibians and Reptiles in Colorado: A Colorado Field Guide Second Edition 1999 by Geoffrey A. Hammerson, the Colorado Herpetofaunal Atlas, and CPW Scientific Collection data.These data were last updated in April 2014.
Copyright Text: Colorado Parks and Wildlife Biologist Tina Jackson.