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Predicting above-ground density and distribution of small mammal prey species at large spatial scales
Grassland and shrub-steppe ecosystems are increasingly threatened by anthropogenic activities. Loss of native habitats may negatively impact important small mammal prey species. Little information, however, is available on the impact of habitat variability on density of small mammal prey species at...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435308/ https://www.ncbi.nlm.nih.gov/pubmed/28520757 http://dx.doi.org/10.1371/journal.pone.0177165 |
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author | Olson, Lucretia E. Squires, John R. Oakleaf, Robert J. Wallace, Zachary P. Kennedy, Patricia L. |
author_facet | Olson, Lucretia E. Squires, John R. Oakleaf, Robert J. Wallace, Zachary P. Kennedy, Patricia L. |
author_sort | Olson, Lucretia E. |
collection | PubMed |
description | Grassland and shrub-steppe ecosystems are increasingly threatened by anthropogenic activities. Loss of native habitats may negatively impact important small mammal prey species. Little information, however, is available on the impact of habitat variability on density of small mammal prey species at broad spatial scales. We examined the relationship between small mammal density and remotely-sensed environmental covariates in shrub-steppe and grassland ecosystems in Wyoming, USA. We sampled four sciurid and leporid species groups using line transect methods, and used hierarchical distance-sampling to model density in response to variation in vegetation, climate, topographic, and anthropogenic variables, while accounting for variation in detection probability. We created spatial predictions of each species’ density and distribution. Sciurid and leporid species exhibited mixed responses to vegetation, such that changes to native habitat will likely affect prey species differently. Density of white-tailed prairie dogs (Cynomys leucurus), Wyoming ground squirrels (Urocitellus elegans), and leporids correlated negatively with proportion of shrub or sagebrush cover and positively with herbaceous cover or bare ground, whereas least chipmunks showed a positive correlation with shrub cover and a negative correlation with herbaceous cover. Spatial predictions from our models provide a landscape-scale metric of above-ground prey density, which will facilitate the development of conservation plans for these taxa and their predators at spatial scales relevant to management. |
format | Online Article Text |
id | pubmed-5435308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54353082017-05-26 Predicting above-ground density and distribution of small mammal prey species at large spatial scales Olson, Lucretia E. Squires, John R. Oakleaf, Robert J. Wallace, Zachary P. Kennedy, Patricia L. PLoS One Research Article Grassland and shrub-steppe ecosystems are increasingly threatened by anthropogenic activities. Loss of native habitats may negatively impact important small mammal prey species. Little information, however, is available on the impact of habitat variability on density of small mammal prey species at broad spatial scales. We examined the relationship between small mammal density and remotely-sensed environmental covariates in shrub-steppe and grassland ecosystems in Wyoming, USA. We sampled four sciurid and leporid species groups using line transect methods, and used hierarchical distance-sampling to model density in response to variation in vegetation, climate, topographic, and anthropogenic variables, while accounting for variation in detection probability. We created spatial predictions of each species’ density and distribution. Sciurid and leporid species exhibited mixed responses to vegetation, such that changes to native habitat will likely affect prey species differently. Density of white-tailed prairie dogs (Cynomys leucurus), Wyoming ground squirrels (Urocitellus elegans), and leporids correlated negatively with proportion of shrub or sagebrush cover and positively with herbaceous cover or bare ground, whereas least chipmunks showed a positive correlation with shrub cover and a negative correlation with herbaceous cover. Spatial predictions from our models provide a landscape-scale metric of above-ground prey density, which will facilitate the development of conservation plans for these taxa and their predators at spatial scales relevant to management. Public Library of Science 2017-05-17 /pmc/articles/PMC5435308/ /pubmed/28520757 http://dx.doi.org/10.1371/journal.pone.0177165 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Olson, Lucretia E. Squires, John R. Oakleaf, Robert J. Wallace, Zachary P. Kennedy, Patricia L. Predicting above-ground density and distribution of small mammal prey species at large spatial scales |
title | Predicting above-ground density and distribution of small mammal prey species at large spatial scales |
title_full | Predicting above-ground density and distribution of small mammal prey species at large spatial scales |
title_fullStr | Predicting above-ground density and distribution of small mammal prey species at large spatial scales |
title_full_unstemmed | Predicting above-ground density and distribution of small mammal prey species at large spatial scales |
title_short | Predicting above-ground density and distribution of small mammal prey species at large spatial scales |
title_sort | predicting above-ground density and distribution of small mammal prey species at large spatial scales |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435308/ https://www.ncbi.nlm.nih.gov/pubmed/28520757 http://dx.doi.org/10.1371/journal.pone.0177165 |
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