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We developed an expert opinion questionnaire to gather information regarding expert opinion regarding the importance of climate variables in determining a species geographic range (Brandt et al. 2017). The data on the Survey_Results tab represent the raw survey questions and responses. Each column in the spreadsheet (except the first four columns, described below) represents a survey question, which is written in the first cell of that column. Each survey response for that question is listed below. Some questions have multi-part answers, and are listed in multiple columns, and appended with letters (e.g., Q8A, Q8B, Q8C, etc.). The first four columns of the spreadhseet represent unique information for that survey...
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We developed a modelling spatial domain, or mask, to delimit the modeling extent for each species (n=15 species), as a part of a larger project to compare climate envelope models outputs that were generated using two types of predictor variables: expert opinion and statistical method (Brandt et al. 2017). The species masks, or model domains, were defined separately for each species using a variation of the “target-group” approach (Phillips et al. 2009), where the domain was determine using convex polygons including occurrence data for at least three phylogenetically related and similar species (Watling et al. 2012). This dataset is separated into 15 zipped GeoTIFF rasters, each with its own metadata documentation....
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The data we used for this study include species occurrence data (n=15 species), climate data and predictions, an expert opinion questionnaire, and species masks that represented the model domain for each species. For this data release, we include the results of the expert opinion questionnaire and the species model domains (or masks). We developed an expert opinion questionnaire to gather information on expert opinion regarding the importance of climate variables in determining a species geographic range. The species masks, or model domains, were defined separately for each species using a variation of the “target-group” approach (Phillips et al. 2009), where the domain was determined using convex polygons including...
Categories: Data;
Types: Citation;
Tags: Ecology,
Florida,
USGS Science Data Catalog (SDC),
Wildlife Biology,
climate adaptation, All tags...
climate change,
conservation,
conservation planning,
endangered species,
expert opinion,
threatened species, Fewer tags
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Abstract (from ScienceDirect): Habitat connectivity is essential for maintaining populations of wildlife species, especially as climate changes. Knowledge about the fate of existing habitat networks in a changing climate and in light of land-use change is critical for determining which types of conservation actions must be taken to maintain those networks. However, information is lacking about how multiple focal species that use similar habitats overlap in the degree and geographic patterns of threats to linkages among currently suitable habitat patches. We sought to address that gap. We assessed climate change threat to existing linkages in the southeastern United States for three wildlife species that use similar...
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