Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna.
Megafauna species are intrinsically vulnerable to human impact. Freshwater megafauna (i.e., freshwater animals ≥30 kg, including fishes, mammals, reptiles, and amphibians) are subject to intensive and increasing threats. Thirty‐four species are listed as critically endangered on the International Un...
| Autores: | , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Recursos: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:addi.ehu.eus:10810/51337 |
| Acesso em linha: | http://hdl.handle.net/10810/51337 |
| Access Level: | acceso abierto |
| Palavra-chave: | IUCN Red List biodiversity body size conservation recovery potential vertebrate |
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Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna.He, F.Langhans, S.D.Zarfl, C.Wanke, R.Tockner, K.Jähnig, S.C.IUCN Red Listbiodiversitybody sizeconservationrecovery potentialvertebrateMegafauna species are intrinsically vulnerable to human impact. Freshwater megafauna (i.e., freshwater animals ≥30 kg, including fishes, mammals, reptiles, and amphibians) are subject to intensive and increasing threats. Thirty‐four species are listed as critically endangered on the International Union for Conservation of Nature (IUCN). Red List of Threatened Species, the assessments for which are an important basis for conservation actions but remain incomplete for 49 (24%) freshwater megafauna species. Consequently, the window of opportunity for protecting these species could be missed. Identifying the factors that predispose freshwater megafauna to extinction can help predict their extinction risk and facilitate more effective and proactive conservation actions. Thus, we collated 8 life‐history traits for 206 freshwater megafauna species. We used generalized linear mixed models to examine the relationships between extinction risk based on the IUCN Red List categories and the combined effect of multiple traits, as well as the effect of human impact on these relationships for 157 classified species. The most parsimonious model included human impact and traits related to species’ recovery potential including life span, age at maturity, and fecundity. Applying the most parsimonious model to 49 unclassified species predicted that 17 of them are threatened. Accounting for model predictions together with IUCN Red List assessments, 50% of all freshwater megafauna species are considered threatened. The Amazon and Yangtze basins emerged as global diversity hotspots of threatened freshwater megafauna, in addition to existing hotspots, including the Ganges‐Brahmaputra and Mekong basins and the Caspian Sea region. Assessment and monitoring of those species predicted to be threatened are needed, especially in the Amazon and Yangtze basins. Investigation of life‐history traits and trends in population and distribution, regulation of overexploitation, maintaining river connectivity, implementing protected areas focusing on freshwater ecosystems, and integrated basin management are required to protect threatened freshwater megafauna in diversity hotspots.This work was carried out within the SMART Joint Doctorate (Science for the MAnagement of Rivers and their Tidal systems), funded with the support of the Erasmus Mundus program of the European Union, and is a contribution to the Leibniz Competition project Freshwater Megafauna Futures. S.D.L was supported by the European UnionCONSERVATION BIOLOGYEuropean Union202120212020info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/51337reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/EC/H2020/748625https://dx.doi.org/10.1111/cobi.13590info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/es/© 2020 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation BiologyAtribución-NoComercial-CompartirIgual 3.0 Españaoai:addi.ehu.eus:10810/513372026-06-18T09:23:17Z |
| dc.title.none.fl_str_mv |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. |
| title |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. |
| spellingShingle |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. He, F. IUCN Red List biodiversity body size conservation recovery potential vertebrate |
| title_short |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. |
| title_full |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. |
| title_fullStr |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. |
| title_full_unstemmed |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. |
| title_sort |
Combined effects of life-history traits and human impact on extinction risk of freshwater megafauna. |
| dc.creator.none.fl_str_mv |
He, F. Langhans, S.D. Zarfl, C. Wanke, R. Tockner, K. Jähnig, S.C. |
| author |
He, F. |
| author_facet |
He, F. Langhans, S.D. Zarfl, C. Wanke, R. Tockner, K. Jähnig, S.C. |
| author_role |
author |
| author2 |
Langhans, S.D. Zarfl, C. Wanke, R. Tockner, K. Jähnig, S.C. |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
European Union |
| dc.subject.none.fl_str_mv |
IUCN Red List biodiversity body size conservation recovery potential vertebrate |
| topic |
IUCN Red List biodiversity body size conservation recovery potential vertebrate |
| description |
Megafauna species are intrinsically vulnerable to human impact. Freshwater megafauna (i.e., freshwater animals ≥30 kg, including fishes, mammals, reptiles, and amphibians) are subject to intensive and increasing threats. Thirty‐four species are listed as critically endangered on the International Union for Conservation of Nature (IUCN). Red List of Threatened Species, the assessments for which are an important basis for conservation actions but remain incomplete for 49 (24%) freshwater megafauna species. Consequently, the window of opportunity for protecting these species could be missed. Identifying the factors that predispose freshwater megafauna to extinction can help predict their extinction risk and facilitate more effective and proactive conservation actions. Thus, we collated 8 life‐history traits for 206 freshwater megafauna species. We used generalized linear mixed models to examine the relationships between extinction risk based on the IUCN Red List categories and the combined effect of multiple traits, as well as the effect of human impact on these relationships for 157 classified species. The most parsimonious model included human impact and traits related to species’ recovery potential including life span, age at maturity, and fecundity. Applying the most parsimonious model to 49 unclassified species predicted that 17 of them are threatened. Accounting for model predictions together with IUCN Red List assessments, 50% of all freshwater megafauna species are considered threatened. The Amazon and Yangtze basins emerged as global diversity hotspots of threatened freshwater megafauna, in addition to existing hotspots, including the Ganges‐Brahmaputra and Mekong basins and the Caspian Sea region. Assessment and monitoring of those species predicted to be threatened are needed, especially in the Amazon and Yangtze basins. Investigation of life‐history traits and trends in population and distribution, regulation of overexploitation, maintaining river connectivity, implementing protected areas focusing on freshwater ecosystems, and integrated basin management are required to protect threatened freshwater megafauna in diversity hotspots. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2021 2021 |
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info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10810/51337 |
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http://hdl.handle.net/10810/51337 |
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Inglés |
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Inglés |
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info:eu-repo/grantAgreement/EC/H2020/748625 https://dx.doi.org/10.1111/cobi.13590 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/es/ Atribución-NoComercial-CompartirIgual 3.0 España |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/3.0/es/ Atribución-NoComercial-CompartirIgual 3.0 España |
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application/pdf |
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CONSERVATION BIOLOGY |
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CONSERVATION BIOLOGY |
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reponame:Addi. Archivo Digital para la Docencia y la Investigación instname:Universidad del País Vasco |
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Universidad del País Vasco |
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Addi. Archivo Digital para la Docencia y la Investigación |
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Addi. Archivo Digital para la Docencia y la Investigación |
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