Incorporating habitat suitability, landscape distance, and resistant kernels to estimate conservation units for an imperiled terrestrial snake
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Bauder_et_al_In_Press_indigo_s ...
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Final Published Version
Affiliation
U.S. Geological Survey, Arizona Cooperative Fish and Wildlife Research Unit, University of ArizonaSchool of Natural Resources and the Environment, University of Arizona
Issue Date
2022-08-25Keywords
Connectivity modelingConservation units
Drymarchon couperi
Eastern indigo snake
Model calibration
Pattern-oriented modeling
Resistance surface
Resistant kernel
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Springer Science and Business Media LLCCitation
Bauder, J. M., Chandler, H. C., Elmore, M. L., & Jenkins, C. L. (2022). Incorporating habitat suitability, landscape distance, and resistant kernels to estimate conservation units for an imperiled terrestrial snake. Landscape Ecology.Journal
Landscape EcologyRights
This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Context: Wildlife distributions are often subdivided into discrete conservation units to aid in implementing management and conservation objectives. Habitat suitability models, resistance surfaces, and resistant kernels provide tools for delineating spatially explicit conservation units but guidelines for parameterizing resistant kernels are generally lacking. Objectives: We used the federally threatened eastern indigo snake (Drymarchon couperi) as a case study for calibrating resistant kernels using observed movement data and resistance surfaces to help delineate habitat-based conservation units. Methods: We simulated eastern indigo snake movements under different resistance surface and resistant kernel parameterizations and selected the scenario that produced simulated movement distances that best approximated the maximum observed annual movement distance. We used our calibrated resistant kernel to model range-wide connectivity and compared delineated conservation units to Euclidean distance-based population units from the recent eastern indigo snake species status assessment (SSA). Results: We identified a total of 255 eastern indigo snake conservation units, with numerous large (2500–5000 ha of suitable habitat) conservation units across the eastern indigo snake distribution. There was substantial variation in the degree of overlap with the SSA population units likely reflecting the spatial heterogeneity in habitat suitability and landscape resistance. Conclusion: Our calibration approach is widely applicable to other systems for parameterizing biologically meaningful resistant kernels. Our conservation units can be used to prioritize future eastern indigo snake conservation efforts, identify areas where more survey work is needed, or identify small, isolated populations with high extinction risks.Note
Public domain articleISSN
0921-2973EISSN
1572-9761Version
Final published versionSponsors
U.S. Fish and Wildlife Serviceae974a485f413a2113503eed53cd6c53
10.1007/s10980-022-01510-z
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Except where otherwise noted, this item's license is described as This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022.

