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<CreaDate>20251218</CreaDate>
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<idPurp>Forest-cover weighted human modification connectivity model</idPurp>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;This dataset uses human modification ( Theobald 2020 - https://essd.copernicus.org/articles/12/1953/2020/ ) and forest cover data to identify key areas of importance for forest landscape connectivity across North America. This dataset uses a 700-meter search radius to evaluate landscape connectivity. In large, unfragmented areas with intact forest cover, forest dependent species may move freely across the landscape. These areas may provide options for maintaining ecological connections. In highly developed and altered landscapes, where forest cover is largely absent, species movement is impeded and restricted, reflecting the difficulty species may experience in moving through these human-modified landscapes. In areas with adjacent natural and modified lands, where forest cover is limited in distribution, species movement is concentrated in areas (pinch points or bottlenecks) where few alternative movement pathways exist. These concentrated movement areas may be particularly important for maintaining or restoring ecological connectivity for forest-dependent species and processes. Areas with the top 30% of connectivity scores are identified, representing areas where very highly, highly, and concentrated forest connectivity occurs. - (Belote et al. unpublished; Belote et al. 2022 - https://academic.oup.com/bioscience/article/70/2/122/5680447) &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Spatial Extent: CONUS&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Units: Categories of connectivity (diffuse - very highly concentrated)&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
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<resTitle>USFS_CRV_Biodiversity_ForestConnectivity</resTitle>
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<keyword>Climate Risk Viewer</keyword>
<keyword>US Forest Service</keyword>
<keyword>USFS</keyword>
<keyword>CRV</keyword>
<keyword>Forest</keyword>
<keyword>Biodiversity</keyword>
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<idCredit>The Wilderness Society</idCredit>
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<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
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<keyword>Climate Risk Viewer, US Forest Service, USFS, CRV, Forest, Biodiversity</keyword>
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<mdDateSt Sync="TRUE">20251222</mdDateSt>
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