Species distribution models predict potential habitat for the endangered New Mexico jumping mouse

Abstract The New Mexico jumping mouse ( Zapus luteus ) is a federally endangered species that relies on riparian sites of the southwestern United States. Only isolated populations occur throughout its range and detecting potential suitable environments and identifying new populations are important for long‐term conservation of genetic diversity and habitat restoration by management agencies. We used a presence‐only data approach compiled from multiple surveys since 2000 in Arizona, Colorado, and New Mexico with bioclimatic and vegetation variables to generate species distribution models for the species. Our models predicted environmentally suitable areas outside the current species management units that could be prioritized in surveys. Our models also highlighted opportunities for collaboration among federal, state, tribal, and private landowners and managers to secure habitat and connectivity for the species and its long‐term survival.

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Publication Details

Journal
Journal of Wildlife Management
Published
2024-08-05
DOI
https://doi.org/10.1002/jwmg.22646
Citations
3
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
2.76
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article

Species distribution models predict potential habitat for the endangered New Mexico jumping mouse

Erin P. Westeen, José G. Martínez‐Fonseca, Carol L. Chambers, Jeff Jenness et al.
3 citations
Journal of Wildlife Management
Species Distribution and Climate Change
2.76
article

Species distribution models predict potential habitat for the endangered New Mexico jumping mouse

Erin P. Westeen, José G. Martínez‐Fonseca, Carol L. Chambers, Jeff Jenness, Jennifer L. Zahratka
article en
3 citations

Abstract

Abstract The New Mexico jumping mouse ( Zapus luteus ) is a federally endangered species that relies on riparian sites of the southwestern United States. Only isolated populations occur throughout its range and detecting potential suitable environments and identifying new populations are important for long‐term conservation of genetic diversity and habitat restoration by management agencies. We used a presence‐only data approach compiled from multiple surveys since 2000 in Arizona, Colorado, and New Mexico with bioclimatic and vegetation variables to generate species distribution models for the species. Our models predicted environmentally suitable areas outside the current species management units that could be prioritized in surveys. Our models also highlighted opportunities for collaboration among federal, state, tribal, and private landowners and managers to secure habitat and connectivity for the species and its long‐term survival.

Journal of Wildlife ManagementVol. 88(8)
Northern Arizona University (US), University of California, Berkeley (US)
Life in Land
Openalex Percentile: Top 9%
Species Distribution and Climate Change
2.76
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