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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC ( Show direct descendants )

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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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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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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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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...


    map background search result map search result map Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) American woodcock refugia cores and connectivity scores Bicknell's thrush refugia cores and connectivity scores Blackburnian warbler refugia cores and connectivity scores Cerulean warbler refugia cores and connectivity scores Moose refugia cores and connectivity scores Box turtle refugia cores and connectivity scores Saltmarsh sparrow refugia cores and connectivity scores Process-guided deep learning water temperature predictions: 1 Spatial data (GIS polygons for 68 lakes) Saltmarsh sparrow refugia cores and connectivity scores Moose refugia cores and connectivity scores Cerulean warbler refugia cores and connectivity scores Box turtle refugia cores and connectivity scores Blackburnian warbler refugia cores and connectivity scores Bicknell's thrush refugia cores and connectivity scores American woodcock refugia cores and connectivity scores