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Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines
Renewable energy sources, such as wind energy, are essential tools for reducing the causes of climate change, but wind turbines can pose a collision risk for bats. To date, the population‐level effects of wind‐related mortality have been estimated for only 1 bat species. To estimate temporal trends...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984092/ https://www.ncbi.nlm.nih.gov/pubmed/32424911 http://dx.doi.org/10.1111/cobi.13554 |
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author | Davy, Christina M. Squires, Kelly Zimmerling, J. Ryan |
author_facet | Davy, Christina M. Squires, Kelly Zimmerling, J. Ryan |
author_sort | Davy, Christina M. |
collection | PubMed |
description | Renewable energy sources, such as wind energy, are essential tools for reducing the causes of climate change, but wind turbines can pose a collision risk for bats. To date, the population‐level effects of wind‐related mortality have been estimated for only 1 bat species. To estimate temporal trends in bat abundance, we considered wind turbines as opportunistic sampling tools for flying bats (analogous to fishing nets), where catch per unit effort (carcass abundance per monitored turbine) is a proxy for aerial abundance of bats, after accounting for seasonal variation in activity. We used a large, standardized data set of records of bat carcasses from 594 turbines in southern Ontario, Canada, and corrected these data to account for surveyor efficiency and scavenger removal. We used Bayesian hierarchical models to estimate temporal trends in aerial abundance of bats and to explore the effect of spatial factors, including landscape features associated with bat habitat (e.g., wetlands, croplands, and forested lands), on the number of mortalities for each species. The models showed a rapid decline in the abundance of 4 species in our study area; declines in capture of carcasses over 7 years ranged from 65% (big brown bat [Eptesicus fuscus]) to 91% (silver‐haired bat [Lasionycteris noctivagans]). Estimated declines were independent of the effects of mitigation (increasing wind speed at which turbines begin to generate electricity from 3.5 to 5.5 m/s), which significantly reduced but did not eliminate bat mortality. Late‐summer mortality of hoary (Lasiurus cinereus), eastern red (Lasiurus borealis), and silver‐haired bats was predicted by woodlot cover, and mortality of big brown bats decreased with increasing elevation. These landscape predictors of bat mortality can inform the siting of future wind energy operations. Our most important result is the apparent decline in abundance of four common species of bat in the airspace, which requires further investigation. |
format | Online Article Text |
id | pubmed-7984092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79840922021-03-24 Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines Davy, Christina M. Squires, Kelly Zimmerling, J. Ryan Conserv Biol Contributed Papers Renewable energy sources, such as wind energy, are essential tools for reducing the causes of climate change, but wind turbines can pose a collision risk for bats. To date, the population‐level effects of wind‐related mortality have been estimated for only 1 bat species. To estimate temporal trends in bat abundance, we considered wind turbines as opportunistic sampling tools for flying bats (analogous to fishing nets), where catch per unit effort (carcass abundance per monitored turbine) is a proxy for aerial abundance of bats, after accounting for seasonal variation in activity. We used a large, standardized data set of records of bat carcasses from 594 turbines in southern Ontario, Canada, and corrected these data to account for surveyor efficiency and scavenger removal. We used Bayesian hierarchical models to estimate temporal trends in aerial abundance of bats and to explore the effect of spatial factors, including landscape features associated with bat habitat (e.g., wetlands, croplands, and forested lands), on the number of mortalities for each species. The models showed a rapid decline in the abundance of 4 species in our study area; declines in capture of carcasses over 7 years ranged from 65% (big brown bat [Eptesicus fuscus]) to 91% (silver‐haired bat [Lasionycteris noctivagans]). Estimated declines were independent of the effects of mitigation (increasing wind speed at which turbines begin to generate electricity from 3.5 to 5.5 m/s), which significantly reduced but did not eliminate bat mortality. Late‐summer mortality of hoary (Lasiurus cinereus), eastern red (Lasiurus borealis), and silver‐haired bats was predicted by woodlot cover, and mortality of big brown bats decreased with increasing elevation. These landscape predictors of bat mortality can inform the siting of future wind energy operations. Our most important result is the apparent decline in abundance of four common species of bat in the airspace, which requires further investigation. John Wiley and Sons Inc. 2020-07-03 2021-02 /pmc/articles/PMC7984092/ /pubmed/32424911 http://dx.doi.org/10.1111/cobi.13554 Text en © 2020 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Contributed Papers Davy, Christina M. Squires, Kelly Zimmerling, J. Ryan Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines |
title | Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines |
title_full | Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines |
title_fullStr | Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines |
title_full_unstemmed | Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines |
title_short | Estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines |
title_sort | estimation of spatiotemporal trends in bat abundance from mortality data collected at wind turbines |
topic | Contributed Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984092/ https://www.ncbi.nlm.nih.gov/pubmed/32424911 http://dx.doi.org/10.1111/cobi.13554 |
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