Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions

Autores
Semper Pascual, Asunción; Decarre, Julieta; Baumann, Matthias; Busso, Juan M.; Camino, Micaela; Gómez Valencia, Bibiana; Kuemmerle, Tobias
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Tropical deforestation is a main driver of the global biodiversity crisis. Impact assessments typically focus on species' presence, which means impacts are detected when local extinctions have occurred – and thus when it is too late. Here, we pioneer the combined use of two approaches that can detect deforestation impacts earlier, at the level of populations (using occupancy modelling) and at the level of individuals (using stress hormonal indicators). We tested this approach for the collared peccary (Pecari tajacu) in the Argentine Chaco, a global deforestation hotspot. We used camera-trap data to model peccary occupancy in relation to woodland cover and loss, and measured glucocorticoid metabolites in peccary feces to assess individuals' stress level in deforestation areas. We found that peccary occupancy was highest in remote areas with high woodland cover, but low otherwise. Peccaries were typically absent from areas where deforestation had been widespread recently. Where peccaries were present, physiological stress was correlated with the extent of edge between cropland and forest (a proxy for food availability), and not with deforestation. This, and the observation that peccaries disappear quickly as deforestation progresses, suggests that peccaries do not adapt well to the new conditions in deforestation frontiers. Interms of conservation management, our results under pin the importance of protecting large, contiguous woodland blocks to prevent large mammals from going extinct in deforestation frontiers. More broadly, weshow how combining stress hormonal indicators and occupancy modelling can provide deepins ights into processes underlying local extinctions in dynamic landscapes.
Fil: Semper Pascual, Asunción. Humboldt-Universität zu Berlin. Geography Department; Alemania
Fil: Decarre, Julieta. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina
Fil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; Alemania
Fil: Busso, Juan M. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Camino, Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Ecología del Litoral. Laboratorio de Biología de la Conservación; Argentina
Fil: Gomez Valencia, Bibiana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Grupo de Estudios de Sistemas Ecológicos en Ambientes Agrícolas; Argentina. Instituto de Investigaciones de Recursos Biológicos Alexander von Humboldt; Colombia
Fil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; Alemania
Fuente
Biological Conservation 236 : 281-288 (August 2019)
Materia
Deforestation
Habitats
Losses
Deforestación
Hábitats
Pérdidas
Fecal Cortisol Metabolites
Land-use Changes
Occupancy Modelling
Metabolitos Fecales de Cortisol
Gran Chaco
Cambio de Uso del Suelo
Modelado de Ocupación
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctionsSemper Pascual, AsunciónDecarre, JulietaBaumann, MatthiasBusso, Juan M.Camino, MicaelaGómez Valencia, BibianaKuemmerle, TobiasDeforestationHabitatsLossesDeforestaciónHábitatsPérdidasFecal Cortisol MetabolitesLand-use ChangesOccupancy ModellingMetabolitos Fecales de CortisolGran ChacoCambio de Uso del SueloModelado de OcupaciónTropical deforestation is a main driver of the global biodiversity crisis. Impact assessments typically focus on species' presence, which means impacts are detected when local extinctions have occurred – and thus when it is too late. Here, we pioneer the combined use of two approaches that can detect deforestation impacts earlier, at the level of populations (using occupancy modelling) and at the level of individuals (using stress hormonal indicators). We tested this approach for the collared peccary (Pecari tajacu) in the Argentine Chaco, a global deforestation hotspot. We used camera-trap data to model peccary occupancy in relation to woodland cover and loss, and measured glucocorticoid metabolites in peccary feces to assess individuals' stress level in deforestation areas. We found that peccary occupancy was highest in remote areas with high woodland cover, but low otherwise. Peccaries were typically absent from areas where deforestation had been widespread recently. Where peccaries were present, physiological stress was correlated with the extent of edge between cropland and forest (a proxy for food availability), and not with deforestation. This, and the observation that peccaries disappear quickly as deforestation progresses, suggests that peccaries do not adapt well to the new conditions in deforestation frontiers. Interms of conservation management, our results under pin the importance of protecting large, contiguous woodland blocks to prevent large mammals from going extinct in deforestation frontiers. More broadly, weshow how combining stress hormonal indicators and occupancy modelling can provide deepins ights into processes underlying local extinctions in dynamic landscapes.Fil: Semper Pascual, Asunción. Humboldt-Universität zu Berlin. Geography Department; AlemaniaFil: Decarre, Julieta. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; ArgentinaFil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; AlemaniaFil: Busso, Juan M. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Camino, Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Ecología del Litoral. Laboratorio de Biología de la Conservación; ArgentinaFil: Gomez Valencia, Bibiana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Grupo de Estudios de Sistemas Ecológicos en Ambientes Agrícolas; Argentina. Instituto de Investigaciones de Recursos Biológicos Alexander von Humboldt; ColombiaFil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; AlemaniaElsevier2019-11-19T13:57:41Z2019-11-19T13:57:41Z2019-05-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/6332https://www.sciencedirect.com/science/article/pii/S00063207193011320006-3207https://doi.org/10.1016/j.biocon.2019.05.050Biological Conservation 236 : 281-288 (August 2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:49Zoai:localhost:20.500.12123/6332instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:49.898INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
title Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
spellingShingle Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
Semper Pascual, Asunción
Deforestation
Habitats
Losses
Deforestación
Hábitats
Pérdidas
Fecal Cortisol Metabolites
Land-use Changes
Occupancy Modelling
Metabolitos Fecales de Cortisol
Gran Chaco
Cambio de Uso del Suelo
Modelado de Ocupación
title_short Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
title_full Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
title_fullStr Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
title_full_unstemmed Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
title_sort Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
dc.creator.none.fl_str_mv Semper Pascual, Asunción
Decarre, Julieta
Baumann, Matthias
Busso, Juan M.
Camino, Micaela
Gómez Valencia, Bibiana
Kuemmerle, Tobias
author Semper Pascual, Asunción
author_facet Semper Pascual, Asunción
Decarre, Julieta
Baumann, Matthias
Busso, Juan M.
Camino, Micaela
Gómez Valencia, Bibiana
Kuemmerle, Tobias
author_role author
author2 Decarre, Julieta
Baumann, Matthias
Busso, Juan M.
Camino, Micaela
Gómez Valencia, Bibiana
Kuemmerle, Tobias
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Deforestation
Habitats
Losses
Deforestación
Hábitats
Pérdidas
Fecal Cortisol Metabolites
Land-use Changes
Occupancy Modelling
Metabolitos Fecales de Cortisol
Gran Chaco
Cambio de Uso del Suelo
Modelado de Ocupación
topic Deforestation
Habitats
Losses
Deforestación
Hábitats
Pérdidas
Fecal Cortisol Metabolites
Land-use Changes
Occupancy Modelling
Metabolitos Fecales de Cortisol
Gran Chaco
Cambio de Uso del Suelo
Modelado de Ocupación
dc.description.none.fl_txt_mv Tropical deforestation is a main driver of the global biodiversity crisis. Impact assessments typically focus on species' presence, which means impacts are detected when local extinctions have occurred – and thus when it is too late. Here, we pioneer the combined use of two approaches that can detect deforestation impacts earlier, at the level of populations (using occupancy modelling) and at the level of individuals (using stress hormonal indicators). We tested this approach for the collared peccary (Pecari tajacu) in the Argentine Chaco, a global deforestation hotspot. We used camera-trap data to model peccary occupancy in relation to woodland cover and loss, and measured glucocorticoid metabolites in peccary feces to assess individuals' stress level in deforestation areas. We found that peccary occupancy was highest in remote areas with high woodland cover, but low otherwise. Peccaries were typically absent from areas where deforestation had been widespread recently. Where peccaries were present, physiological stress was correlated with the extent of edge between cropland and forest (a proxy for food availability), and not with deforestation. This, and the observation that peccaries disappear quickly as deforestation progresses, suggests that peccaries do not adapt well to the new conditions in deforestation frontiers. Interms of conservation management, our results under pin the importance of protecting large, contiguous woodland blocks to prevent large mammals from going extinct in deforestation frontiers. More broadly, weshow how combining stress hormonal indicators and occupancy modelling can provide deepins ights into processes underlying local extinctions in dynamic landscapes.
Fil: Semper Pascual, Asunción. Humboldt-Universität zu Berlin. Geography Department; Alemania
Fil: Decarre, Julieta. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina
Fil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; Alemania
Fil: Busso, Juan M. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Camino, Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Ecología del Litoral. Laboratorio de Biología de la Conservación; Argentina
Fil: Gomez Valencia, Bibiana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Grupo de Estudios de Sistemas Ecológicos en Ambientes Agrícolas; Argentina. Instituto de Investigaciones de Recursos Biológicos Alexander von Humboldt; Colombia
Fil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; Alemania
description Tropical deforestation is a main driver of the global biodiversity crisis. Impact assessments typically focus on species' presence, which means impacts are detected when local extinctions have occurred – and thus when it is too late. Here, we pioneer the combined use of two approaches that can detect deforestation impacts earlier, at the level of populations (using occupancy modelling) and at the level of individuals (using stress hormonal indicators). We tested this approach for the collared peccary (Pecari tajacu) in the Argentine Chaco, a global deforestation hotspot. We used camera-trap data to model peccary occupancy in relation to woodland cover and loss, and measured glucocorticoid metabolites in peccary feces to assess individuals' stress level in deforestation areas. We found that peccary occupancy was highest in remote areas with high woodland cover, but low otherwise. Peccaries were typically absent from areas where deforestation had been widespread recently. Where peccaries were present, physiological stress was correlated with the extent of edge between cropland and forest (a proxy for food availability), and not with deforestation. This, and the observation that peccaries disappear quickly as deforestation progresses, suggests that peccaries do not adapt well to the new conditions in deforestation frontiers. Interms of conservation management, our results under pin the importance of protecting large, contiguous woodland blocks to prevent large mammals from going extinct in deforestation frontiers. More broadly, weshow how combining stress hormonal indicators and occupancy modelling can provide deepins ights into processes underlying local extinctions in dynamic landscapes.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-19T13:57:41Z
2019-11-19T13:57:41Z
2019-05-27
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/6332
https://www.sciencedirect.com/science/article/pii/S0006320719301132
0006-3207
https://doi.org/10.1016/j.biocon.2019.05.050
url http://hdl.handle.net/20.500.12123/6332
https://www.sciencedirect.com/science/article/pii/S0006320719301132
https://doi.org/10.1016/j.biocon.2019.05.050
identifier_str_mv 0006-3207
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Biological Conservation 236 : 281-288 (August 2019)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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