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BatTool: projecting bat populations facing multiple stressors using a demographic model
Bats provide ecologically and agriculturally important ecosystem services but are currently experiencing population declines caused by multiple environmental stressors, including mortality from white-nose syndrome and wind energy development. Analyses of the current and future health and viability o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577975/ https://www.ncbi.nlm.nih.gov/pubmed/37840152 http://dx.doi.org/10.1186/s12862-023-02159-1 |
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author | Wiens, Ashton M. Schorg, Amber Szymanski, Jennifer Thogmartin, Wayne E. |
author_facet | Wiens, Ashton M. Schorg, Amber Szymanski, Jennifer Thogmartin, Wayne E. |
author_sort | Wiens, Ashton M. |
collection | PubMed |
description | Bats provide ecologically and agriculturally important ecosystem services but are currently experiencing population declines caused by multiple environmental stressors, including mortality from white-nose syndrome and wind energy development. Analyses of the current and future health and viability of these species may support conservation management decision making. Demographic modeling provides a quantitative tool for decision makers and conservation managers to make more informed decisions, but widespread adoption of these tools can be limited because of the complexity of the mathematical, statistical, and computational components involved in implementing these models. In this work, we provide an exposition of the BatTool R package, detailing the primary components of the matrix projection model, a publicly accessible graphical user interface (https://rconnect.usgs.gov/battool) facilitating user-defined scenario analyses, and its intended uses and limitations (Wiens et al., US Geol Surv Data Release 2022; Wiens et al., US Geol Surv Softw Release 2022). We present a case study involving wind energy permitting, weighing the effects of potential mortality caused by a hypothetical wind energy facility on the projected abundance of four imperiled bat species in the Midwestern United States. |
format | Online Article Text |
id | pubmed-10577975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105779752023-10-17 BatTool: projecting bat populations facing multiple stressors using a demographic model Wiens, Ashton M. Schorg, Amber Szymanski, Jennifer Thogmartin, Wayne E. BMC Ecol Evol Research Bats provide ecologically and agriculturally important ecosystem services but are currently experiencing population declines caused by multiple environmental stressors, including mortality from white-nose syndrome and wind energy development. Analyses of the current and future health and viability of these species may support conservation management decision making. Demographic modeling provides a quantitative tool for decision makers and conservation managers to make more informed decisions, but widespread adoption of these tools can be limited because of the complexity of the mathematical, statistical, and computational components involved in implementing these models. In this work, we provide an exposition of the BatTool R package, detailing the primary components of the matrix projection model, a publicly accessible graphical user interface (https://rconnect.usgs.gov/battool) facilitating user-defined scenario analyses, and its intended uses and limitations (Wiens et al., US Geol Surv Data Release 2022; Wiens et al., US Geol Surv Softw Release 2022). We present a case study involving wind energy permitting, weighing the effects of potential mortality caused by a hypothetical wind energy facility on the projected abundance of four imperiled bat species in the Midwestern United States. BioMed Central 2023-10-16 /pmc/articles/PMC10577975/ /pubmed/37840152 http://dx.doi.org/10.1186/s12862-023-02159-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wiens, Ashton M. Schorg, Amber Szymanski, Jennifer Thogmartin, Wayne E. BatTool: projecting bat populations facing multiple stressors using a demographic model |
title | BatTool: projecting bat populations facing multiple stressors using a demographic model |
title_full | BatTool: projecting bat populations facing multiple stressors using a demographic model |
title_fullStr | BatTool: projecting bat populations facing multiple stressors using a demographic model |
title_full_unstemmed | BatTool: projecting bat populations facing multiple stressors using a demographic model |
title_short | BatTool: projecting bat populations facing multiple stressors using a demographic model |
title_sort | battool: projecting bat populations facing multiple stressors using a demographic model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577975/ https://www.ncbi.nlm.nih.gov/pubmed/37840152 http://dx.doi.org/10.1186/s12862-023-02159-1 |
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