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Are all data types and connectivity models created equal? Validating common connectivity approaches with dispersal dataAuthor(s): Katherine A. Zeller; Megan K. Jennings; T. Winston Vickers; Holly B. Ernest; Samuel A. Cushman; Walter M. Boyce
Source: Diversity and Distributions. 24: 868-879.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionThere is enormous interest in applying connectivity modelling to resistance surfaces for identifying corridors for conservation action. However, the multiple analytical approaches used to estimate resistance surfaces and predict connectivity across resistance surfaces have not been rigorously compared, and it is unclear what methods provide the best inferences about population connectivity. Using a large empirical data set on puma (Puma concolor), we are the first to compare several of the most common approaches for estimating resistance and modelling connectivity and validate them with dispersal data.
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CitationZeller, Katherine A.; Jennings, Megan K.; Vickers, T. Winston; Ernest, Holly B.; Cushman, Samuel A.; Boyce, Walter M. 2018. Are all data types and connectivity models created equal? Validating common connectivity approaches with dispersal data. Diversity and Distributions. 24: 868-879.
Keywordscuit theory, connectivity, corridors, cost distance, dispersal, Puma concolor
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