Linking like with like: optimising connectivity between environmentally-similar habitats

Detalhes bibliográficos
Autor(a) principal: Alagador, Diogo
Data de Publicação: 2012
Outros Autores: Triviño, Maria, Cerdeira, Jorge Orestes, Braz, Raul, Cabeza, Mar, Araújo, Miguel Bastos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/3838
Resumo: Habitat fragmentation is one of the greatest threats to biodiversity. To minimise the effect of fragmentation on biodiversity, connectivity between otherwise isolated habitats should be promoted. However, the identification of linkages favouring connectivity is not trivial. Firstly, they compete with other land uses, so they need to be cost-efficient. Secondly, linkages for one species might be barriers for others, so they should effectively account for distinct mobility requirements. Thirdly, detailed information on the auto-ecology of most of the species is lacking, so linkages need being defined based on surrogates. In order to address these challenges we develop a framework that (a) identifies environmentally-similar habitats; (b) identifies environmental barriers (i.e., regions with a very distinct environment from the areas to be linked), and; (c) determines cost-efficient linkages between environmentally-similar habitats, free from environmental barriers. The assumption is that species with similar ecological requirements occupy the same environments, so environmental similarity provides a rationale for the identification of the areas that need to be linked. A variant of the classical minimum Steiner tree problem in graphs is used to address c). We present a heuristic for this problem that is capable of handling large datasets. To illustrate the framework we identify linkages between environmentally-similar protected areas in the Iberian Peninsula. The Natura 2000 network is used as a positive ‘attractor’ of links while the human footprint is used as ‘repellent’ of links.Wecompare the outcomes of our approach with cost-efficient networks linking protected areas that disregard the effect of environmental barriers. As expected, the latter achieved a smaller area covered with linkages, but with barriers that can significantly reduce the permeability of the landscape for the dispersal of some species.
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spelling Linking like with like: optimising connectivity between environmentally-similar habitatsConnectivityEnvironmental surrogatesGraph theoryIberian PeninsulaMinimum Steiner tree problemProtected areasSpatial conservation planningHabitat fragmentation is one of the greatest threats to biodiversity. To minimise the effect of fragmentation on biodiversity, connectivity between otherwise isolated habitats should be promoted. However, the identification of linkages favouring connectivity is not trivial. Firstly, they compete with other land uses, so they need to be cost-efficient. Secondly, linkages for one species might be barriers for others, so they should effectively account for distinct mobility requirements. Thirdly, detailed information on the auto-ecology of most of the species is lacking, so linkages need being defined based on surrogates. In order to address these challenges we develop a framework that (a) identifies environmentally-similar habitats; (b) identifies environmental barriers (i.e., regions with a very distinct environment from the areas to be linked), and; (c) determines cost-efficient linkages between environmentally-similar habitats, free from environmental barriers. The assumption is that species with similar ecological requirements occupy the same environments, so environmental similarity provides a rationale for the identification of the areas that need to be linked. A variant of the classical minimum Steiner tree problem in graphs is used to address c). We present a heuristic for this problem that is capable of handling large datasets. To illustrate the framework we identify linkages between environmentally-similar protected areas in the Iberian Peninsula. The Natura 2000 network is used as a positive ‘attractor’ of links while the human footprint is used as ‘repellent’ of links.Wecompare the outcomes of our approach with cost-efficient networks linking protected areas that disregard the effect of environmental barriers. As expected, the latter achieved a smaller area covered with linkages, but with barriers that can significantly reduce the permeability of the landscape for the dispersal of some species.SpringerRepositório da Universidade de LisboaAlagador, DiogoTriviño, MariaCerdeira, Jorge OrestesBraz, RaulCabeza, MarAraújo, Miguel Bastos2012-02-10T12:18:27Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/3838engAlagador, Diogo ... [et al.]. 2012. "Linking like with like: optimising connectivity between environmentally-similar habitats". Journal of landscape ecology, 27:291-301DOI 10.1007/s10980-012-9704-9info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:34:54Zoai:www.repository.utl.pt:10400.5/3838Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:51:36.922467Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Linking like with like: optimising connectivity between environmentally-similar habitats
title Linking like with like: optimising connectivity between environmentally-similar habitats
spellingShingle Linking like with like: optimising connectivity between environmentally-similar habitats
Alagador, Diogo
Connectivity
Environmental surrogates
Graph theory
Iberian Peninsula
Minimum Steiner tree problem
Protected areas
Spatial conservation planning
title_short Linking like with like: optimising connectivity between environmentally-similar habitats
title_full Linking like with like: optimising connectivity between environmentally-similar habitats
title_fullStr Linking like with like: optimising connectivity between environmentally-similar habitats
title_full_unstemmed Linking like with like: optimising connectivity between environmentally-similar habitats
title_sort Linking like with like: optimising connectivity between environmentally-similar habitats
author Alagador, Diogo
author_facet Alagador, Diogo
Triviño, Maria
Cerdeira, Jorge Orestes
Braz, Raul
Cabeza, Mar
Araújo, Miguel Bastos
author_role author
author2 Triviño, Maria
Cerdeira, Jorge Orestes
Braz, Raul
Cabeza, Mar
Araújo, Miguel Bastos
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Alagador, Diogo
Triviño, Maria
Cerdeira, Jorge Orestes
Braz, Raul
Cabeza, Mar
Araújo, Miguel Bastos
dc.subject.por.fl_str_mv Connectivity
Environmental surrogates
Graph theory
Iberian Peninsula
Minimum Steiner tree problem
Protected areas
Spatial conservation planning
topic Connectivity
Environmental surrogates
Graph theory
Iberian Peninsula
Minimum Steiner tree problem
Protected areas
Spatial conservation planning
description Habitat fragmentation is one of the greatest threats to biodiversity. To minimise the effect of fragmentation on biodiversity, connectivity between otherwise isolated habitats should be promoted. However, the identification of linkages favouring connectivity is not trivial. Firstly, they compete with other land uses, so they need to be cost-efficient. Secondly, linkages for one species might be barriers for others, so they should effectively account for distinct mobility requirements. Thirdly, detailed information on the auto-ecology of most of the species is lacking, so linkages need being defined based on surrogates. In order to address these challenges we develop a framework that (a) identifies environmentally-similar habitats; (b) identifies environmental barriers (i.e., regions with a very distinct environment from the areas to be linked), and; (c) determines cost-efficient linkages between environmentally-similar habitats, free from environmental barriers. The assumption is that species with similar ecological requirements occupy the same environments, so environmental similarity provides a rationale for the identification of the areas that need to be linked. A variant of the classical minimum Steiner tree problem in graphs is used to address c). We present a heuristic for this problem that is capable of handling large datasets. To illustrate the framework we identify linkages between environmentally-similar protected areas in the Iberian Peninsula. The Natura 2000 network is used as a positive ‘attractor’ of links while the human footprint is used as ‘repellent’ of links.Wecompare the outcomes of our approach with cost-efficient networks linking protected areas that disregard the effect of environmental barriers. As expected, the latter achieved a smaller area covered with linkages, but with barriers that can significantly reduce the permeability of the landscape for the dispersal of some species.
publishDate 2012
dc.date.none.fl_str_mv 2012-02-10T12:18:27Z
2012
2012-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/3838
url http://hdl.handle.net/10400.5/3838
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Alagador, Diogo ... [et al.]. 2012. "Linking like with like: optimising connectivity between environmentally-similar habitats". Journal of landscape ecology, 27:291-301
DOI 10.1007/s10980-012-9704-9
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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