Species-fragmented area relationship

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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Hanski, I., Zurita, G.A., Bellocq, M.I., Rybicki, J.
Formato: JOUR
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00278424_v110_n31_p12715_Hanski
Aporte de:
id todo:paper_00278424_v110_n31_p12715_Hanski
record_format dspace
spelling todo:paper_00278424_v110_n31_p12715_Hanski2023-10-03T14:38:09Z Species-fragmented area relationship Hanski, I. Zurita, G.A. Bellocq, M.I. Rybicki, J. Atlantic forest Extinction threshold Habitat conversion Metapopulation capacity Nagoya biodiversity agreement article bird habitat habitat fragmentation metapopulation nonhuman priority journal simulation species species area relationship biological model ecosystem tree tropic climate Ecosystem Models, Biological Trees Tropical Climate 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. © PNAS 2013. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00278424_v110_n31_p12715_Hanski
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Atlantic forest
Extinction threshold
Habitat conversion
Metapopulation capacity
Nagoya biodiversity agreement
article
bird
habitat
habitat fragmentation
metapopulation
nonhuman
priority journal
simulation
species
species area relationship
biological model
ecosystem
tree
tropic climate
Ecosystem
Models, Biological
Trees
Tropical Climate
spellingShingle Atlantic forest
Extinction threshold
Habitat conversion
Metapopulation capacity
Nagoya biodiversity agreement
article
bird
habitat
habitat fragmentation
metapopulation
nonhuman
priority journal
simulation
species
species area relationship
biological model
ecosystem
tree
tropic climate
Ecosystem
Models, Biological
Trees
Tropical Climate
Hanski, I.
Zurita, G.A.
Bellocq, M.I.
Rybicki, J.
Species-fragmented area relationship
topic_facet Atlantic forest
Extinction threshold
Habitat conversion
Metapopulation capacity
Nagoya biodiversity agreement
article
bird
habitat
habitat fragmentation
metapopulation
nonhuman
priority journal
simulation
species
species area relationship
biological model
ecosystem
tree
tropic climate
Ecosystem
Models, Biological
Trees
Tropical Climate
description 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. © PNAS 2013.
format JOUR
author Hanski, I.
Zurita, G.A.
Bellocq, M.I.
Rybicki, J.
author_facet Hanski, I.
Zurita, G.A.
Bellocq, M.I.
Rybicki, J.
author_sort Hanski, I.
title Species-fragmented area relationship
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
url http://hdl.handle.net/20.500.12110/paper_00278424_v110_n31_p12715_Hanski
work_keys_str_mv AT hanskii speciesfragmentedarearelationship
AT zuritaga speciesfragmentedarearelationship
AT bellocqmi speciesfragmentedarearelationship
AT rybickij speciesfragmentedarearelationship
_version_ 1782027660453478400