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Estimating the spatial distribution of wintering little brown bat populations in the eastern United States
Depicting the spatial distribution of wildlife species is an important first step in developing management and conservation programs for particular species. Accurate representation of a species distribution is important for predicting the effects of climate change, land-use change, management activi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301041/ https://www.ncbi.nlm.nih.gov/pubmed/25614789 http://dx.doi.org/10.1002/ece3.1215 |
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author | Russell, Robin E Tinsley, Karl Erickson, Richard A Thogmartin, Wayne E Szymanski, Jennifer |
author_facet | Russell, Robin E Tinsley, Karl Erickson, Richard A Thogmartin, Wayne E Szymanski, Jennifer |
author_sort | Russell, Robin E |
collection | PubMed |
description | Depicting the spatial distribution of wildlife species is an important first step in developing management and conservation programs for particular species. Accurate representation of a species distribution is important for predicting the effects of climate change, land-use change, management activities, disease, and other landscape-level processes on wildlife populations. We developed models to estimate the spatial distribution of little brown bat (Myotis lucifugus) wintering populations in the United States east of the 100th meridian, based on known hibernacula locations. From this data, we developed several scenarios of wintering population counts per county that incorporated uncertainty in the spatial distribution of the hibernacula as well as uncertainty in the size of the current little brown bat population. We assessed the variability in our results resulting from effects of uncertainty. Despite considerable uncertainty in the known locations of overwintering little brown bats in the eastern United States, we believe that models accurately depicting the effects of the uncertainty are useful for making management decisions as these models are a coherent organization of the best available information. |
format | Online Article Text |
id | pubmed-4301041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-43010412015-01-22 Estimating the spatial distribution of wintering little brown bat populations in the eastern United States Russell, Robin E Tinsley, Karl Erickson, Richard A Thogmartin, Wayne E Szymanski, Jennifer Ecol Evol Original Research Depicting the spatial distribution of wildlife species is an important first step in developing management and conservation programs for particular species. Accurate representation of a species distribution is important for predicting the effects of climate change, land-use change, management activities, disease, and other landscape-level processes on wildlife populations. We developed models to estimate the spatial distribution of little brown bat (Myotis lucifugus) wintering populations in the United States east of the 100th meridian, based on known hibernacula locations. From this data, we developed several scenarios of wintering population counts per county that incorporated uncertainty in the spatial distribution of the hibernacula as well as uncertainty in the size of the current little brown bat population. We assessed the variability in our results resulting from effects of uncertainty. Despite considerable uncertainty in the known locations of overwintering little brown bats in the eastern United States, we believe that models accurately depicting the effects of the uncertainty are useful for making management decisions as these models are a coherent organization of the best available information. BlackWell Publishing Ltd 2014-10 2014-09-08 /pmc/articles/PMC4301041/ /pubmed/25614789 http://dx.doi.org/10.1002/ece3.1215 Text en © 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Russell, Robin E Tinsley, Karl Erickson, Richard A Thogmartin, Wayne E Szymanski, Jennifer Estimating the spatial distribution of wintering little brown bat populations in the eastern United States |
title | Estimating the spatial distribution of wintering little brown bat populations in the eastern United States |
title_full | Estimating the spatial distribution of wintering little brown bat populations in the eastern United States |
title_fullStr | Estimating the spatial distribution of wintering little brown bat populations in the eastern United States |
title_full_unstemmed | Estimating the spatial distribution of wintering little brown bat populations in the eastern United States |
title_short | Estimating the spatial distribution of wintering little brown bat populations in the eastern United States |
title_sort | estimating the spatial distribution of wintering little brown bat populations in the eastern united states |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301041/ https://www.ncbi.nlm.nih.gov/pubmed/25614789 http://dx.doi.org/10.1002/ece3.1215 |
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