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Publicly accessible open spaces provide valuable opportunities for people to exercise, play, socialize, and build community. People are more likely to use public open spaces that are close (ideally within walking distance) to their homes. To assess the spatial distribution of access to open space for recreation in the southeastern United States, we constructed an index of open space access based on the size of the largest publicly accessible open space within 10 miles of each point on the landscape, using three distance categories to represent whether people can reach the open spaces by walking (within 0.5 mile), via a short drive (within 3 miles), or via a longer drive (within 10 miles). Using the open space access...
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Shapefile containing the boundaries of the eight Climate Adaptation Science Centers (CASCs).
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Shapefile containing the boundary of the Alaska Climate Adaptation Science Center (CASC).
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Shapefile containing the boundary of the Northwest Climate Adaptation Science Center (CASC).
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Recreational birding is a popular activity in the United States. To assess the spatial distribution of recreational birding in the southeast, we combined two data sources: eBird (Sullivan et al. 2009) and the National Survey of Fishing, Hunting, and Wildlife-associated Recreation (NSFHWAR; US Department of Interior, Fish and Wildlife Service, and Department of Commerce 2011). We used spatial birding data from eBird to distribute the state-level NSFHWAR birding data by county and land protection status. This information was used to identify priority counties for conservation of birding areas. These are counties with a high level of birding activity where at least 90% of birding activity takes place on unprotected...
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Shapefile containing the boundary of the Northeast Climate Adaptation Science Center (CASC).
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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Shapefile containing the boundary of the South Central Climate Adaptation Science Center (CASC).
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This shapefile approximates the area less than 20 km offshore of the North Pacific Coastline as defined by the "World Country Boundaries (Generalized)" shapefile distributed by ESRI as part of their Data & Maps data series.
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Wild insect pollination has significant positive effects on pollinator-dependent crop production. While managed honeybees are often used to provide pollination to pollinator-dependent crops, visits by wild insect pollinators have been shown to be more effective in increasing fruit set than managed pollinators, and wild insect pollination increases fruit set even when managed pollinator visitation is high (Garibaldi et al. 2013). The total value of the pollination services provided by wild, native insects has been estimated at $3.07 billion annually (2003 dollars) in the United States (Losey & Vaughan 2006). To assess the spatial distribution of potential wild insect pollination, we mapped the supply of potential...
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This dataset provides shapefile of outlines of the 68 lakes where temperature was modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
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This point shapefile approximates locations within 20 km of the North Pacific Coastline, as defined by the "World Country Boundaries (Generalized)" shapefile distributed by ESRI as part of their Data & Maps data series. They are based on raster data at 4 km resolution. Therefore there are between 3-5 points extending out from each location along the shoreline (at 4 km intervals).
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Shapefile containing the boundary of the Pacific Islands Climate Adaptation Science Center (CASC).
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Shapefile containing the boundary of the Southeast Climate Adaptation Science Center (CASC).
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves...
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Shapefile containing the boundary of the Southwest Climate Adaptation Science Center (CASC).


map background search result map search result map 2018 Alaska Climate Adaptation Science Center Boundary 2018 Northwest Climate Adaptation Science Center Boundary 2018 North Central Climate Adaptation Science Center Boundary 2018 South Central Climate Adaptation Science Center Boundary 2018 Southwest Climate Adaptation Science Center Boundary 2018 Northeast Climate Adaptation Science Center Boundary 2018 Southeast Climate Adaptation Science Center Boundary Temperate Northern Pacific Nearshore Points shapefile Conservation and Restoration Priorities for Wild Pollinator Habitat in the Southeast United States, by County (2011) Conservation Priorities for Recreational Birding in the Southeast United States, by County (2011) Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) Conservation Priorities for Open Space Recreation Access in the Southeast United States, by Census Block Group (2018) Conservation and restoration priorities for water purification in the southeast United States, by HUC12 subwatershed (2011) American woodcock refugia cores and connectivity scores Blackburnian warbler refugia cores and connectivity scores Moose refugia cores and connectivity scores Box turtle refugia cores and connectivity scores Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) Moose refugia cores and connectivity scores 2018 Northwest Climate Adaptation Science Center Boundary Box turtle refugia cores and connectivity scores 2018 Southwest Climate Adaptation Science Center Boundary Blackburnian warbler refugia cores and connectivity scores American woodcock refugia cores and connectivity scores 2018 South Central Climate Adaptation Science Center Boundary 2018 North Central Climate Adaptation Science Center Boundary Conservation and Restoration Priorities for Wild Pollinator Habitat in the Southeast United States, by County (2011) Conservation Priorities for Recreational Birding in the Southeast United States, by County (2011) Conservation Priorities for Open Space Recreation Access in the Southeast United States, by Census Block Group (2018) Conservation and restoration priorities for water purification in the southeast United States, by HUC12 subwatershed (2011) 2018 Northeast Climate Adaptation Science Center Boundary 2018 Southeast Climate Adaptation Science Center Boundary 2018 Alaska Climate Adaptation Science Center Boundary Temperate Northern Pacific Nearshore Points shapefile