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Habitat loss is the primary cause of local extinctions. Yet, there is considerable uncertainty regarding how fast species respond to habitat loss, and how time‐delayed responses vary in space. We focused on the Argentine Dry Chaco (c. 32 million ha), a global deforestation hotspot, and tested for time‐delayed response of bird and mammal communities to landscape transformation. We quantified the magnitude of extinction debt by modelling contemporary [ver mas...]
dc.contributor.authorSemper-Pascal, Asunción
dc.contributor.authorMacchi, Leandro
dc.contributor.authorSabatini, Francesco María
dc.contributor.authorDecarre, Julieta
dc.contributor.authorBaumann, Matthias
dc.contributor.authorBlendinger, Pedro Gerardo
dc.contributor.authorGomez Valencia, Bibiana
dc.contributor.authorMastrangelo, Matías Enrique
dc.contributor.authorKuemmerle, Tobias
dc.date.accessioned2018-04-09T15:47:05Z
dc.date.available2018-04-09T15:47:05Z
dc.date.issued2018-02
dc.identifier.issn0021-8901
dc.identifier.issn1365-2664
dc.identifier.otherhttps://doi.org/10.1111/1365-2664.13074
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2202
dc.identifier.urihttps://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2664.13074
dc.description.abstractHabitat loss is the primary cause of local extinctions. Yet, there is considerable uncertainty regarding how fast species respond to habitat loss, and how time‐delayed responses vary in space. We focused on the Argentine Dry Chaco (c. 32 million ha), a global deforestation hotspot, and tested for time‐delayed response of bird and mammal communities to landscape transformation. We quantified the magnitude of extinction debt by modelling contemporary species richness as a function of either contemporary or past (2000 and 1985) landscape patterns. We then used these models to map communities' extinction debt. We found strong evidence for an extinction debt: landscape structure from 2000 explained contemporary species richness of birds and mammals better than contemporary and 1985 landscapes. This suggests time‐delayed responses between 10 and 25 years. Extinction debt was especially strong for forest specialists. Projecting our models across the Chaco highlighted areas where future local extinctions due to unpaid extinction debt are likely. Areas recently converted to agriculture had highest extinction debt, regardless of the post‐conversion land use. Few local extinctions were predicted in areas with remaining larger forest patches. Synthesis and applications. The evidence for an unpaid extinction debt in the Argentine Dry Chaco provides a substantial window of opportunity for averting local biodiversity losses. However, this window may close rapidly if conservation activities such as habitat restoration are not implemented swiftly. Our extinction debt maps highlight areas where such conservation activities should be implemented.eng
dc.formatapplication/pdf
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceJournal of Applied Ecology February 2018
dc.subjectHabitat
dc.subjectHabitatseng
dc.subjectPájaros
dc.subjectBirdseng
dc.subjectMamíferos
dc.subjectMammalseng
dc.subjectConservación de la Naturaleza
dc.subjectNature Conservationeng
dc.subject.otherRegión Chaqueña
dc.subject.otherAves
dc.titleMapping extinction debt highlights conservation opportunities for birds and mammals in the south American Chaco
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.description.origenInst. de Recursos Biológicos
dc.gic156973
dc.description.filFil: Semper-Pascal, Asunción. Humboldt-University Berlin. Geography Department; Alemania
dc.description.filFil: Macchi, Leandro. Humboldt-University Berlin. Geography Department; Alemania. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán; Argentina
dc.description.filFil: Sabatini, Francesco María. Humboldt-University Berlin. Geography Department; Alemania
dc.description.filFil: Decarre, Julieta. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina
dc.description.filFil: Baumann, Matthias. Humboldt-University Berlin. Geography Department; Alemania
dc.description.filFil: Blendinger, Pedro G. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tucumán; Argentina.
dc.description.filFil: Gomez Valencia, Bibiana. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Grupo de Estudios de Sistemas Ecológicos en Ambientes Agrícolas; Argentina
dc.description.filFil: Mastrangelo, Matias Enrique. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudios de Agroecosistemas y Paisajes Rurales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.filFil: Kuemmerle, Tobias. Humboldt-University Berlin. Geography Department; Alemania. Humboldt-University Berlin. Integrative Research Institute for Transformations in Human Environment Systems; Alemania
dc.subtypecientifico


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