Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15841 |
Resumo: | Extinction rates in the Anthropocene are three orders of magnitude higher than background and disproportionately occur in the tropics, home of half the world’s species. Despite global efforts to combat tropical species extinctions, lack of high-quality, objective information on tropical biodiversity has hampered quantitative evaluation of conservation strategies. In particular, the scarcity of population-level monitoring in tropical forests has stymied assessment of biodiversity outcomes, such as the status and trends of animal populations in protected areas. Here, we evaluate occupancy trends for 511 populations of terrestrial mammals and birds, representing 244 species from 15 tropical forest protected areas on three continents. For the first time to our knowledge, we use annual surveys from tropical forests worldwide that employ a standardized camera trapping protocol, and we compute data analytics that correct for imperfect detection. We found that occupancy declined in 22%, increased in 17%, and exhibited no change in 22% of populations during the last 3–8 years, while 39% of populations were detected too infrequently to assess occupancy changes. Despite extensive variability in occupancy trends, these 15 tropical protected areas have not exhibited systematic declines in biodiversity (i.e., occupancy, richness, or evenness) at the community level. Our results differ from reports of widespread biodiversity declines based on aggregated secondary data and expert opinion and suggest less extreme deterioration in tropical forest protected areas. We simultaneously fill an important conservation data gap and demonstrate the value of large-scale monitoring infrastructure and powerful analytics, which can be scaled to incorporate additional sites, ecosystems, and monitoring methods. In an era of catastrophic biodiversity loss, robust indicators produced from standardized monitoring infrastructure are critical to accurately assess population outcomes and identify conservation strategies that can avert biodiversity collapse. © 2016 Beaudrot et al. |
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Beaudrot, Lydia H.Ahumada, Jorge A.O’Brien, Timothy L.Álvarez-Loayza, PatriciaBoekee, KellyCampos-Arceiz, AhimsaEichberg, DavidEspinosa, SantiagoFegraus, Eric H.Fletcher, Christine DawnGajapersad, KrisnaHallam, Chris D.Hurtado, JohannaJansen, Patrick A.Kumar, AmitEileen, Larney,Lima, Marcela Guimarães MoreiraMahony, ColinMartin, Emanuel H.McWilliam, AlexMugerwa, BadruNdoundou-Hockemba, MireilleRazafimahaimodison, Jean Claude A.Romero-Saltos, HugoRovero, F.Salvador, JuliaSantos, Fernanda da SilvaSheil, DouglasSpironello, Wilson RobertoWillig, Michael R.Winarni, Nurul LaksmiZvoleff, AlexanderAndelman, Sandy J.2020-05-19T14:25:49Z2020-05-19T14:25:49Z2016https://repositorio.inpa.gov.br/handle/1/1584110.1371/journal.pbio.1002357Extinction rates in the Anthropocene are three orders of magnitude higher than background and disproportionately occur in the tropics, home of half the world’s species. Despite global efforts to combat tropical species extinctions, lack of high-quality, objective information on tropical biodiversity has hampered quantitative evaluation of conservation strategies. In particular, the scarcity of population-level monitoring in tropical forests has stymied assessment of biodiversity outcomes, such as the status and trends of animal populations in protected areas. Here, we evaluate occupancy trends for 511 populations of terrestrial mammals and birds, representing 244 species from 15 tropical forest protected areas on three continents. For the first time to our knowledge, we use annual surveys from tropical forests worldwide that employ a standardized camera trapping protocol, and we compute data analytics that correct for imperfect detection. We found that occupancy declined in 22%, increased in 17%, and exhibited no change in 22% of populations during the last 3–8 years, while 39% of populations were detected too infrequently to assess occupancy changes. Despite extensive variability in occupancy trends, these 15 tropical protected areas have not exhibited systematic declines in biodiversity (i.e., occupancy, richness, or evenness) at the community level. Our results differ from reports of widespread biodiversity declines based on aggregated secondary data and expert opinion and suggest less extreme deterioration in tropical forest protected areas. We simultaneously fill an important conservation data gap and demonstrate the value of large-scale monitoring infrastructure and powerful analytics, which can be scaled to incorporate additional sites, ecosystems, and monitoring methods. In an era of catastrophic biodiversity loss, robust indicators produced from standardized monitoring infrastructure are critical to accurately assess population outcomes and identify conservation strategies that can avert biodiversity collapse. © 2016 Beaudrot et al.Volume 14, Número 1Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAfricaBiodiversityBirdCommunity StructureControlled StudyEnvironmental MonitoringEnvironmental ProtectionMammalNeotropicsNonhumanOutcome AssessmentQuantitative AnalysisSoutheast AsiaSpecies DiversitySpecies EvennessSpecies OccupancySpecies RichnessStandardizationTrend StudyTropical Rain ForestAnimalsBirdEcologyForestMammalProceduresTropic ClimateAnimalBiodiversityBirdsConservation Of Natural ResourcesEcologyForestsMammalsTropical ClimateStandardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sightinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePLoS Biologyengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf1239063https://repositorio.inpa.gov.br/bitstream/1/15841/1/artigo-inpa.pdfed173baec826ac34305d005bf81b49b9MD511/158412020-07-14 11:25:58.647oai:repositorio:1/15841Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:25:58Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight |
title |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight |
spellingShingle |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight Beaudrot, Lydia H. Africa Biodiversity Bird Community Structure Controlled Study Environmental Monitoring Environmental Protection Mammal Neotropics Nonhuman Outcome Assessment Quantitative Analysis Southeast Asia Species Diversity Species Evenness Species Occupancy Species Richness Standardization Trend Study Tropical Rain Forest Animals Bird Ecology Forest Mammal Procedures Tropic Climate Animal Biodiversity Birds Conservation Of Natural Resources Ecology Forests Mammals Tropical Climate |
title_short |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight |
title_full |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight |
title_fullStr |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight |
title_full_unstemmed |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight |
title_sort |
Standardized Assessment of Biodiversity Trends in Tropical Forest Protected Areas: The End Is Not in Sight |
author |
Beaudrot, Lydia H. |
author_facet |
Beaudrot, Lydia H. Ahumada, Jorge A. O’Brien, Timothy L. Álvarez-Loayza, Patricia Boekee, Kelly Campos-Arceiz, Ahimsa Eichberg, David Espinosa, Santiago Fegraus, Eric H. Fletcher, Christine Dawn Gajapersad, Krisna Hallam, Chris D. Hurtado, Johanna Jansen, Patrick A. Kumar, Amit Eileen, Larney, Lima, Marcela Guimarães Moreira Mahony, Colin Martin, Emanuel H. McWilliam, Alex Mugerwa, Badru Ndoundou-Hockemba, Mireille Razafimahaimodison, Jean Claude A. Romero-Saltos, Hugo Rovero, F. Salvador, Julia Santos, Fernanda da Silva Sheil, Douglas Spironello, Wilson Roberto Willig, Michael R. Winarni, Nurul Laksmi Zvoleff, Alexander Andelman, Sandy J. |
author_role |
author |
author2 |
Ahumada, Jorge A. O’Brien, Timothy L. Álvarez-Loayza, Patricia Boekee, Kelly Campos-Arceiz, Ahimsa Eichberg, David Espinosa, Santiago Fegraus, Eric H. Fletcher, Christine Dawn Gajapersad, Krisna Hallam, Chris D. Hurtado, Johanna Jansen, Patrick A. Kumar, Amit Eileen, Larney, Lima, Marcela Guimarães Moreira Mahony, Colin Martin, Emanuel H. McWilliam, Alex Mugerwa, Badru Ndoundou-Hockemba, Mireille Razafimahaimodison, Jean Claude A. Romero-Saltos, Hugo Rovero, F. Salvador, Julia Santos, Fernanda da Silva Sheil, Douglas Spironello, Wilson Roberto Willig, Michael R. Winarni, Nurul Laksmi Zvoleff, Alexander Andelman, Sandy J. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Beaudrot, Lydia H. Ahumada, Jorge A. O’Brien, Timothy L. Álvarez-Loayza, Patricia Boekee, Kelly Campos-Arceiz, Ahimsa Eichberg, David Espinosa, Santiago Fegraus, Eric H. Fletcher, Christine Dawn Gajapersad, Krisna Hallam, Chris D. Hurtado, Johanna Jansen, Patrick A. Kumar, Amit Eileen, Larney, Lima, Marcela Guimarães Moreira Mahony, Colin Martin, Emanuel H. McWilliam, Alex Mugerwa, Badru Ndoundou-Hockemba, Mireille Razafimahaimodison, Jean Claude A. Romero-Saltos, Hugo Rovero, F. Salvador, Julia Santos, Fernanda da Silva Sheil, Douglas Spironello, Wilson Roberto Willig, Michael R. Winarni, Nurul Laksmi Zvoleff, Alexander Andelman, Sandy J. |
dc.subject.eng.fl_str_mv |
Africa Biodiversity Bird Community Structure Controlled Study Environmental Monitoring Environmental Protection Mammal Neotropics Nonhuman Outcome Assessment Quantitative Analysis Southeast Asia Species Diversity Species Evenness Species Occupancy Species Richness Standardization Trend Study Tropical Rain Forest Animals Bird Ecology Forest Mammal Procedures Tropic Climate Animal Biodiversity Birds Conservation Of Natural Resources Ecology Forests Mammals Tropical Climate |
topic |
Africa Biodiversity Bird Community Structure Controlled Study Environmental Monitoring Environmental Protection Mammal Neotropics Nonhuman Outcome Assessment Quantitative Analysis Southeast Asia Species Diversity Species Evenness Species Occupancy Species Richness Standardization Trend Study Tropical Rain Forest Animals Bird Ecology Forest Mammal Procedures Tropic Climate Animal Biodiversity Birds Conservation Of Natural Resources Ecology Forests Mammals Tropical Climate |
description |
Extinction rates in the Anthropocene are three orders of magnitude higher than background and disproportionately occur in the tropics, home of half the world’s species. Despite global efforts to combat tropical species extinctions, lack of high-quality, objective information on tropical biodiversity has hampered quantitative evaluation of conservation strategies. In particular, the scarcity of population-level monitoring in tropical forests has stymied assessment of biodiversity outcomes, such as the status and trends of animal populations in protected areas. Here, we evaluate occupancy trends for 511 populations of terrestrial mammals and birds, representing 244 species from 15 tropical forest protected areas on three continents. For the first time to our knowledge, we use annual surveys from tropical forests worldwide that employ a standardized camera trapping protocol, and we compute data analytics that correct for imperfect detection. We found that occupancy declined in 22%, increased in 17%, and exhibited no change in 22% of populations during the last 3–8 years, while 39% of populations were detected too infrequently to assess occupancy changes. Despite extensive variability in occupancy trends, these 15 tropical protected areas have not exhibited systematic declines in biodiversity (i.e., occupancy, richness, or evenness) at the community level. Our results differ from reports of widespread biodiversity declines based on aggregated secondary data and expert opinion and suggest less extreme deterioration in tropical forest protected areas. We simultaneously fill an important conservation data gap and demonstrate the value of large-scale monitoring infrastructure and powerful analytics, which can be scaled to incorporate additional sites, ecosystems, and monitoring methods. In an era of catastrophic biodiversity loss, robust indicators produced from standardized monitoring infrastructure are critical to accurately assess population outcomes and identify conservation strategies that can avert biodiversity collapse. © 2016 Beaudrot et al. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2020-05-19T14:25:49Z |
dc.date.available.fl_str_mv |
2020-05-19T14:25:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/15841 |
dc.identifier.doi.none.fl_str_mv |
10.1371/journal.pbio.1002357 |
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https://repositorio.inpa.gov.br/handle/1/15841 |
identifier_str_mv |
10.1371/journal.pbio.1002357 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 14, Número 1 |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
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PLoS Biology |
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PLoS Biology |
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reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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Repositório Institucional do INPA |
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