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Are all data types and connectivity models created equal? Validating common connectivity approaches with dispersal data

Author(s):

Megan K. Jennings
T. Winston Vickers
Holly B. Ernest
Walter M. Boyce

Year:

2018

Publication type:

Scientific Journal (JRNL)

Primary Station(s):

Rocky Mountain Research Station

Source:

Diversity and Distributions. 24: 868-879.

Description

There 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.

Citation

Zeller, 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.

Cited

Publication Notes

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  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
https://www.fs.usda.gov/treesearch/pubs/60335