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Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate

Loss of biological diversity through population extinctions is a global phenomenon that threatens many ecosystems. Managers often rely on databases of rare species locations to plan land use actions and conserve at-risk taxa, so it is crucial that the information they contain is accurate and dependa...

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Autores principales: Kaye, Thomas N., Bahm, Matt A., Thorpe, Andrea S., Gray, Erin C., Pfingsten, Ian, Waddell, Chelsea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797133/
https://www.ncbi.nlm.nih.gov/pubmed/31622344
http://dx.doi.org/10.1371/journal.pone.0210378
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author Kaye, Thomas N.
Bahm, Matt A.
Thorpe, Andrea S.
Gray, Erin C.
Pfingsten, Ian
Waddell, Chelsea
author_facet Kaye, Thomas N.
Bahm, Matt A.
Thorpe, Andrea S.
Gray, Erin C.
Pfingsten, Ian
Waddell, Chelsea
author_sort Kaye, Thomas N.
collection PubMed
description Loss of biological diversity through population extinctions is a global phenomenon that threatens many ecosystems. Managers often rely on databases of rare species locations to plan land use actions and conserve at-risk taxa, so it is crucial that the information they contain is accurate and dependable. However, small population sizes, long gaps between surveys, and climate change may be leading to undetected extinctions of many populations. We used repeated survey records for a rare but widespread orchid, Cypripedium fasciculatum (clustered lady’s slipper), to model population extinction risk based on elevation, population size, and time between observations. Population size and elevation were negatively associated with extinction, while extinction probability increased with time between observations. We interpret population losses at low elevations as a potential signal of climate change impacts. We used this model to estimate the probability of persistence of populations across California and Oregon, and found that 39%-52% of the 2415 populations reported in databases from this region are likely extinct. Managers should be aware that the number of populations of rare species in their databases is potentially an overestimate, and consider resurveying these populations to document their presence and condition, with priority given to older reports of small populations, especially those at low elevations or in other areas with high vulnerability to climate or land cover change.
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spelling pubmed-67971332019-10-20 Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate Kaye, Thomas N. Bahm, Matt A. Thorpe, Andrea S. Gray, Erin C. Pfingsten, Ian Waddell, Chelsea PLoS One Research Article Loss of biological diversity through population extinctions is a global phenomenon that threatens many ecosystems. Managers often rely on databases of rare species locations to plan land use actions and conserve at-risk taxa, so it is crucial that the information they contain is accurate and dependable. However, small population sizes, long gaps between surveys, and climate change may be leading to undetected extinctions of many populations. We used repeated survey records for a rare but widespread orchid, Cypripedium fasciculatum (clustered lady’s slipper), to model population extinction risk based on elevation, population size, and time between observations. Population size and elevation were negatively associated with extinction, while extinction probability increased with time between observations. We interpret population losses at low elevations as a potential signal of climate change impacts. We used this model to estimate the probability of persistence of populations across California and Oregon, and found that 39%-52% of the 2415 populations reported in databases from this region are likely extinct. Managers should be aware that the number of populations of rare species in their databases is potentially an overestimate, and consider resurveying these populations to document their presence and condition, with priority given to older reports of small populations, especially those at low elevations or in other areas with high vulnerability to climate or land cover change. Public Library of Science 2019-10-17 /pmc/articles/PMC6797133/ /pubmed/31622344 http://dx.doi.org/10.1371/journal.pone.0210378 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
Kaye, Thomas N.
Bahm, Matt A.
Thorpe, Andrea S.
Gray, Erin C.
Pfingsten, Ian
Waddell, Chelsea
Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate
title Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate
title_full Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate
title_fullStr Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate
title_full_unstemmed Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate
title_short Population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate
title_sort population extinctions driven by climate change, population size, and time since observation may make rare species databases inaccurate
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797133/
https://www.ncbi.nlm.nih.gov/pubmed/31622344
http://dx.doi.org/10.1371/journal.pone.0210378
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