Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions
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 detec...
| Autores principales: | , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | 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 |
| _version_ | 1855483791334703104 |
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| author | Semper Pascual, Asunción Decarre, Julieta Baumann, Matthias Busso, Juan M. Camino, Micaela Gómez Valencia, Bibiana Kuemmerle, Tobias |
| author_browse | Baumann, Matthias Busso, Juan M. Camino, Micaela Decarre, Julieta Gómez Valencia, Bibiana Kuemmerle, Tobias Semper Pascual, Asunción |
| author_facet | Semper Pascual, Asunción Decarre, Julieta Baumann, Matthias Busso, Juan M. Camino, Micaela Gómez Valencia, Bibiana Kuemmerle, Tobias |
| author_sort | Semper Pascual, Asunción |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA6332 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA63322025-09-24T11:52:59Z Biodiversity loss in deforestation frontiers: Linking occupancy modelling and physiological stress indicators to understand local extinctions Semper Pascual, Asunción Decarre, Julieta Baumann, Matthias Busso, Juan M. Camino, Micaela Gómez Valencia, Bibiana Kuemmerle, Tobias 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 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 2019-11-19T13:57:41Z 2019-11-19T13:57:41Z 2019-05-27 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Biological Conservation 236 : 281-288 (August 2019) |
| spellingShingle | 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 Semper Pascual, Asunción Decarre, Julieta Baumann, Matthias Busso, Juan M. Camino, Micaela Gómez Valencia, Bibiana Kuemmerle, Tobias 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 |
| 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_short | 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 |
| 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 |
| 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 |
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