{ "culture": "en-US", "name": "", "guid": "", "catalogPath": "", "snippet": "Resilience concerns the ability of a living system to adjust to climate change, moderate potential damages, take advantage of opportunities, or cope with consequences; in short, the capacity to adapt. The Nature Conservancy\u2019s resilience analysis develops an approach to conserve biological diversity while allowing species and communities to rearrange in response to a continually changing climate. See more at: http://nature.org/TNCResilience. \n\nIn the Resilient and Connected Network analysis, sites and linkages between them identified by the combination of resilience, flow, and biodiversity were integrated into a single network. The network is designed to represent resilient examples with all the characteristic physical environments of the region while maximizing the amount of diversity contained within in them and the natural flow that connects them. By building the network around the natural pathways that allow species populations to shift 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.\n\nThe Resilient and Connected Landscapes analysis was tailored to regions based on input from regional steering committees that modified factors to capture local ecological functions important to each region. This national dataset is directly derived from the 9 regional datasets and care should be taken to understand the different methods in each of the regions.", "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. <\/SPAN><\/P>

For detail on the methods please see individual region reports. Here is a short summary of the methods.<\/SPAN><\/P>

First, we divided the study area into ten natural ecoregions. Then within each ecoregion we:<\/SPAN><\/P>

Identified distinct environments based on their bedrock or surficial geology.<\/SPAN><\/P>

  • Mapped areas that have a high diversity of microclimates based on their topography and wetlands.<\/SPAN><\/P><\/LI>

  • Mapped areas that were highly connected by natural cover.<\/SPAN><\/P><\/LI>

  • 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.<\/SPAN><\/P><\/LI><\/UL>

    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. <\/SPAN><\/P>

    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. <\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "summary": "Resilience concerns the ability of a living system to adjust to climate change, moderate potential damages, take advantage of opportunities, or cope with consequences; in short, the capacity to adapt. The Nature Conservancy\u2019s resilience analysis develops an approach to conserve biological diversity while allowing species and communities to rearrange in response to a continually changing climate. See more at: http://nature.org/TNCResilience. \n\nIn the Resilient and Connected Network analysis, sites and linkages between them identified by the combination of resilience, flow, and biodiversity were integrated into a single network. The network is designed to represent resilient examples with all the characteristic physical environments of the region while maximizing the amount of diversity contained within in them and the natural flow that connects them. By building the network around the natural pathways that allow species populations to shift 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.\n\nThe Resilient and Connected Landscapes analysis was tailored to regions based on input from regional steering committees that modified factors to capture local ecological functions important to each region. This national dataset is directly derived from the 9 regional datasets and care should be taken to understand the different methods in each of the regions.", "title": "Resilence Score Terrestrial and Coastal - CONUS", "tags": [ "Resilience", "Local Connectivity", "Landscape Diversity", "Wetland Density", "CONUS", "Terrestrial", "Coastal" ], "type": "", "typeKeywords": [], "thumbnail": "", "url": "", "minScale": 150000000, "maxScale": 5000, "spatialReference": "", "accessInformation": "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. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data.", "licenseInfo": "

    The Nature Conservancy compiled this data set from publicly available data sources and this data is freely distributable without permission from Eastern Division Conservation Science. This data set must be cited on all electronic and hard copy products using the language of the Data Set Credit. The Nature Conservancy shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these digital data, in whole or in part, is prohibited without the approval of The Nature Conservancy. The use of these data to produce other GIS products and services with the intent to sell for a profit is prohibited without the written consent of The Nature Conservancy. All parties receiving these data must be informed of these restrictions. The Nature Conservancy shall be acknowledged as data contributors to any reports or other products derived from these data.<\/SPAN><\/SPAN><\/P>

    <\/P><\/DIV><\/DIV>" }