{ "layers": [ { "currentVersion": 10.81, "id": 0, "name": "Resilient and Connected Network ", "type": "Raster Layer", "description": "10/2/2020The following is a general summary for detailed methods seet he regional reports: Eastern US, Great Lakes and Tallgrass Prairie, Great Plains, Lower Mississippi and Ozarks, Rocky Mountains and Desert Southwest, Pacific Northwest, California. Additional information and data sources are available here.We combined the sites and linkages identified by the combination of resilience, flow, and biodiversity into a single network. The network is designed to represent resilient examples all the characteristic environments of the region while maximizing amount of diversity contained within in them and the natural flow that connects them. By building the network around the natural flows and pathways that allow species populations to shift and expand and then identifying representative resilient sites situated within those pathways, the network is specifically configured to sustain biological diversity while allowing nature to adapt and change.Key Fields:Resilience_D: Field value=resilience if the cell is resilientRecognized_Biodiversity_D: Field value = Recognized Biodiveristy if the cell has recognized biodiveristySecured_Land_D: description of the secured land value and GAP statusClimate Connectivity_D: description of the climate connectivity valueMarsh_Migration_D: Decription of Marsh Migration ValueRegion_D: a description of what analysis region the cell is in (ECS, PNW or CA)RCN_DESC_NEW: The full detailed RCN legendRCN_Simp_legend: The simple three category RCN legendRCN_1: a flag for if the cell is in teh rcn or not", "geometryType": null, "copyrightText": "Eastern Conservation Science, The Nature Conservancy", "parentLayer": null, "subLayers": [], "minScale": 0, "maxScale": 0, "defaultVisibility": false, "extent": { "xmin": -1.2219905164329614E7, "ymin": 4362129.585661557, "xmax": -1.1324252364447461E7, "ymax": 5089785.736560481, "spatialReference": { "wkid": 102100, "latestWkid": 3857 } }, "hasAttachments": false, "htmlPopupType": "esriServerHTMLPopupTypeNone", "displayField": "", "typeIdField": null, "subtypeFieldName": null, "subtypeField": null, "defaultSubtypeCode": null, "fields": null, "geometryField": {}, "indexes": [], "subtypes": [], "relationships": [], "canModifyLayer": false, "canScaleSymbols": false, "hasLabels": false, "capabilities": "Map,Query", "supportsStatistics": false, "supportsAdvancedQueries": false, "supportedQueryFormats": "JSON, geoJSON", "isDataVersioned": false, "ownershipBasedAccessControlForFeatures": {"allowOthersToQuery": true}, "useStandardizedQueries": true, "advancedQueryCapabilities": { "useStandardizedQueries": true, "supportsStatistics": false, "supportsHavingClause": false, "supportsCountDistinct": false, "supportsOrderBy": false, "supportsDistinct": false, "supportsPagination": false, "supportsTrueCurve": false, "supportsReturningQueryExtent": true, "supportsQueryWithDistance": true, "supportsSqlExpression": false }, "supportsCoordinatesQuantization": true }, { "currentVersion": 10.81, "id": 1, "name": "Resilient Sites", "type": "Raster Layer", "description": "This dataset represents areas the Final Resilience Scores with for all study regions for terrestrial and coastal scores. The base resilience result is resilience stratified by ecoregion. We then added in an override to capture the most resilient areas in each setting within each ecoregion to arrive at a final resilience score. For detail on the methods please see individual region reports. Here is a short summary of the methods.First, we divided the study area into ten natural ecoregions. Then within each ecoregion we:Identified distinct environments based on their bedrock or surficial geology.Mapped areas that have a high diversity of microclimates based on their topography and wetlands.Mapped areas that were highly connected by natural cover.Within each ecoregion, we combined these datasets to identify the places with the highest resilience for each distinct environment based on their landscape diversity and local connectedness. The areas with high resilience represent natural strongholds for biodiversity because they contain many microclimates in a highly connected area which creates climate options for species allowing them to persist. All scores are relative to the ecoregion and type of environment assessed. For the coastal sites we also calculated a coastal resilience score. Coastal sites vary widely in their ability to accommodate rising seas, based on inherent natural features and the degree of human influence on key ecological processes. Scientists from The Nature Conservancy evaluated over coastal sites for their capacity to sustain biodiversity and natural services under increasing inundation from sea level. Each site received a resilience \u201cscore\u201d based on the likelihood that its coastal habitats can and will migrate to adjacent lowlands. ", "geometryType": null, "copyrightText": "The Nature Conservancy reserves all rights in data provided. All data are provided as is. This is not a survey quality dataset. The Nature Conservancy makes no warranty as to the currency, completeness, accuracy or utility of any specific data. This disclaimer applies both to individual use of the data and aggregate use with other data. 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