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Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard

Globally, no species is exempt from the constraints associated with limited available habitat or resources, and endangered species in particular warrant critical examination. In most cases, these species are restricted to limited locations, and the relative likelihood of resource use within the spac...

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Autores principales: Lortie, Christopher J., Braun, Jenna, Westphal, Michael, Noble, Taylor, Zuliani, Mario, Nix, Emmeleia, Ghazian, Nargol, Owen, Malory, Scott Butterfield, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078218/
https://www.ncbi.nlm.nih.gov/pubmed/32184467
http://dx.doi.org/10.1038/s41598-020-61880-9
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author Lortie, Christopher J.
Braun, Jenna
Westphal, Michael
Noble, Taylor
Zuliani, Mario
Nix, Emmeleia
Ghazian, Nargol
Owen, Malory
Scott Butterfield, H.
author_facet Lortie, Christopher J.
Braun, Jenna
Westphal, Michael
Noble, Taylor
Zuliani, Mario
Nix, Emmeleia
Ghazian, Nargol
Owen, Malory
Scott Butterfield, H.
author_sort Lortie, Christopher J.
collection PubMed
description Globally, no species is exempt from the constraints associated with limited available habitat or resources, and endangered species in particular warrant critical examination. In most cases, these species are restricted to limited locations, and the relative likelihood of resource use within the space they can access is important. Using Gambelia sila, one of the first vertebrate species listed as endangered, we used resource selection function analysis of telemetry and remotely sensed data to identity key drivers of selected versus available locations for this species in Carrizo Plain National Monument, USA. We examined the probability of selection given different resource types. Increasing shrub cover, lower and relatively more flat sites, increasing normalized difference vegetation index, and solar radiation all significantly predicted likelihood of observed selection within the area sampled. Imagery data were also validated with fine-scale field data showing that large-scale contrasts of selection relative to available location patterns for animal species are a useful lens for potential habitat. Key environmental infrastructure such as foundation plant species including shrubs or local differences in the physical attributes were relevant to this endangered species.
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spelling pubmed-70782182020-03-23 Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard Lortie, Christopher J. Braun, Jenna Westphal, Michael Noble, Taylor Zuliani, Mario Nix, Emmeleia Ghazian, Nargol Owen, Malory Scott Butterfield, H. Sci Rep Article Globally, no species is exempt from the constraints associated with limited available habitat or resources, and endangered species in particular warrant critical examination. In most cases, these species are restricted to limited locations, and the relative likelihood of resource use within the space they can access is important. Using Gambelia sila, one of the first vertebrate species listed as endangered, we used resource selection function analysis of telemetry and remotely sensed data to identity key drivers of selected versus available locations for this species in Carrizo Plain National Monument, USA. We examined the probability of selection given different resource types. Increasing shrub cover, lower and relatively more flat sites, increasing normalized difference vegetation index, and solar radiation all significantly predicted likelihood of observed selection within the area sampled. Imagery data were also validated with fine-scale field data showing that large-scale contrasts of selection relative to available location patterns for animal species are a useful lens for potential habitat. Key environmental infrastructure such as foundation plant species including shrubs or local differences in the physical attributes were relevant to this endangered species. Nature Publishing Group UK 2020-03-17 /pmc/articles/PMC7078218/ /pubmed/32184467 http://dx.doi.org/10.1038/s41598-020-61880-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lortie, Christopher J.
Braun, Jenna
Westphal, Michael
Noble, Taylor
Zuliani, Mario
Nix, Emmeleia
Ghazian, Nargol
Owen, Malory
Scott Butterfield, H.
Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard
title Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard
title_full Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard
title_fullStr Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard
title_full_unstemmed Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard
title_short Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard
title_sort shrub and vegetation cover predict resource selection use by an endangered species of desert lizard
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078218/
https://www.ncbi.nlm.nih.gov/pubmed/32184467
http://dx.doi.org/10.1038/s41598-020-61880-9
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