Species–fragmented area relationship

Autores
Hanski, Ilkka; Zurita, Gustavo Andrés; Bellocq, Maria Isabel; Rybicki, Joel
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Hanski, Ilkka. University of Helsinki. Department of Computer Science. Helsinki Institute for Information Technology; Finland.
Fil: Zurita, Gustavo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina.
Fil: Zurita, Gustavo Andrés. Universidad Nacional de Misiones. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina.
Fil: Bellocq, Maria Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina.
Fil: Bellocq, Maria Isabel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina.
Fil: Rybicki, Joel. University of Helsinki. Department of Biosciences; Finland.
The species–area relationship (SAR) gives a quantitative description of the increasing number of species in a community with increasing area of habitat. In conservation, SARs have been used to predict the number of extinctions when the area of habitat is reduced. Such predictions are most needed for landscapes rather than for individual habitat fragments, but SAR-based predictions of extinctions for landscapes with highly fragmented habitat are likely to be biased because SAR assumes contiguous habitat. In reality, habitat loss is typically accompanied by habitat fragmentation. To quantify the effect of fragmentation in addition to the effect of habitat loss on the number of species, we extend the power-law SAR to the species–fragmented area relationship. This model unites the single-species metapopulation theory with the multispecies SAR for communities. We demonstrate with a realistic simulation model and with empirical data for forest-inhabiting subtropical birds that the species–fragmented area relationship gives a far superior prediction than SAR of the number of species in fragmented landscapes. The results demonstrate that for communities of species that are not well adapted to live in fragmented landscapes, the conventional SAR underestimates the number of extinctions for landscapes in which little habitat remains and it is highly fragmented.
Materia
Species–area relationship
Simulation model
Extinctions
Fragmented habitats
Birds
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución-NoComercial-CompartirIgual 4.0 Internacional
Repositorio
Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
Institución
Universidad Nacional de Misiones
OAI Identificador
oai:rid.unam.edu.ar:20.500.12219/4996

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spelling Species–fragmented area relationshipHanski, IlkkaZurita, Gustavo AndrésBellocq, Maria IsabelRybicki, JoelSpecies–area relationshipSimulation modelExtinctionsFragmented habitatsBirdsFil: Hanski, Ilkka. University of Helsinki. Department of Computer Science. Helsinki Institute for Information Technology; Finland.Fil: Zurita, Gustavo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina.Fil: Zurita, Gustavo Andrés. Universidad Nacional de Misiones. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina.Fil: Bellocq, Maria Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina.Fil: Bellocq, Maria Isabel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina.Fil: Rybicki, Joel. University of Helsinki. Department of Biosciences; Finland.The species–area relationship (SAR) gives a quantitative description of the increasing number of species in a community with increasing area of habitat. In conservation, SARs have been used to predict the number of extinctions when the area of habitat is reduced. Such predictions are most needed for landscapes rather than for individual habitat fragments, but SAR-based predictions of extinctions for landscapes with highly fragmented habitat are likely to be biased because SAR assumes contiguous habitat. In reality, habitat loss is typically accompanied by habitat fragmentation. To quantify the effect of fragmentation in addition to the effect of habitat loss on the number of species, we extend the power-law SAR to the species–fragmented area relationship. This model unites the single-species metapopulation theory with the multispecies SAR for communities. We demonstrate with a realistic simulation model and with empirical data for forest-inhabiting subtropical birds that the species–fragmented area relationship gives a far superior prediction than SAR of the number of species in fragmented landscapes. The results demonstrate that for communities of species that are not well adapted to live in fragmented landscapes, the conventional SAR underestimates the number of extinctions for landscapes in which little habitat remains and it is highly fragmented.Proceedings of the National Academy of Sciences (PNAS)2013-07-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdf1.254 MBhttps://hdl.handle.net/20.500.12219/4996enginfo:eu-repo/semantics/altIdentifier/urn/https://www.pnas.org/doi/full/10.1073/pnas.1311491110info:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)instname:Universidad Nacional de Misiones2025-10-16T10:46:39Zoai:rid.unam.edu.ar:20.500.12219/4996instacron:UNAMInstitucionalhttps://rid.unam.edu.ar/Universidad públicahttps://www.unam.edu.ar/https://rid.unam.edu.ar/oai/rsnrdArgentinaopendoar:2025-10-16 10:46:39.527Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misionesfalse
dc.title.none.fl_str_mv Species–fragmented area relationship
title Species–fragmented area relationship
spellingShingle Species–fragmented area relationship
Hanski, Ilkka
Species–area relationship
Simulation model
Extinctions
Fragmented habitats
Birds
title_short Species–fragmented area relationship
title_full Species–fragmented area relationship
title_fullStr Species–fragmented area relationship
title_full_unstemmed Species–fragmented area relationship
title_sort Species–fragmented area relationship
dc.creator.none.fl_str_mv Hanski, Ilkka
Zurita, Gustavo Andrés
Bellocq, Maria Isabel
Rybicki, Joel
author Hanski, Ilkka
author_facet Hanski, Ilkka
Zurita, Gustavo Andrés
Bellocq, Maria Isabel
Rybicki, Joel
author_role author
author2 Zurita, Gustavo Andrés
Bellocq, Maria Isabel
Rybicki, Joel
author2_role author
author
author
dc.subject.none.fl_str_mv Species–area relationship
Simulation model
Extinctions
Fragmented habitats
Birds
topic Species–area relationship
Simulation model
Extinctions
Fragmented habitats
Birds
dc.description.none.fl_txt_mv Fil: Hanski, Ilkka. University of Helsinki. Department of Computer Science. Helsinki Institute for Information Technology; Finland.
Fil: Zurita, Gustavo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina.
Fil: Zurita, Gustavo Andrés. Universidad Nacional de Misiones. Facultad de Ciencias Forestales. Instituto de Biología Subtropical; Argentina.
Fil: Bellocq, Maria Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina.
Fil: Bellocq, Maria Isabel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina.
Fil: Rybicki, Joel. University of Helsinki. Department of Biosciences; Finland.
The species–area relationship (SAR) gives a quantitative description of the increasing number of species in a community with increasing area of habitat. In conservation, SARs have been used to predict the number of extinctions when the area of habitat is reduced. Such predictions are most needed for landscapes rather than for individual habitat fragments, but SAR-based predictions of extinctions for landscapes with highly fragmented habitat are likely to be biased because SAR assumes contiguous habitat. In reality, habitat loss is typically accompanied by habitat fragmentation. To quantify the effect of fragmentation in addition to the effect of habitat loss on the number of species, we extend the power-law SAR to the species–fragmented area relationship. This model unites the single-species metapopulation theory with the multispecies SAR for communities. We demonstrate with a realistic simulation model and with empirical data for forest-inhabiting subtropical birds that the species–fragmented area relationship gives a far superior prediction than SAR of the number of species in fragmented landscapes. The results demonstrate that for communities of species that are not well adapted to live in fragmented landscapes, the conventional SAR underestimates the number of extinctions for landscapes in which little habitat remains and it is highly fragmented.
description Fil: Hanski, Ilkka. University of Helsinki. Department of Computer Science. Helsinki Institute for Information Technology; Finland.
publishDate 2013
dc.date.none.fl_str_mv 2013-07-30
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 https://hdl.handle.net/20.500.12219/4996
url https://hdl.handle.net/20.500.12219/4996
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/urn/https://www.pnas.org/doi/full/10.1073/pnas.1311491110
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
application/pdf
1.254 MB
dc.publisher.none.fl_str_mv Proceedings of the National Academy of Sciences (PNAS)
publisher.none.fl_str_mv Proceedings of the National Academy of Sciences (PNAS)
dc.source.none.fl_str_mv reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
instname:Universidad Nacional de Misiones
reponame_str Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
collection Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
instname_str Universidad Nacional de Misiones
repository.name.fl_str_mv Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misiones
repository.mail.fl_str_mv
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