Assessing the efficiency of protected areas to represent biodiversity : a small island case study
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.3/4717 |
Resumo: | Protected areas (PAs) have been selected using either subjective or objective criteria applied to an extremely limited subset of biodiversity. Improved availability of species distribution data, better statistical tools to predict species distributions and algorithms to optimize spatial conservation planning allow many impediments to be overcome, particularly on small islands. This study analyses whether 219 species are adequately protected by PAs on Pico Island (theAzores, Portugal), and if they are as efficient as possible, maximizing species protection while minimizing costs. We performed distribution modelling of species’ potential distributions, proposed individual conservation targets (considering the context of each species in the archipelago and their current conservation status) to determine the efficiency of current PAs in meeting such targets and identify alternative or complementary areas relevant for conservation. Results showed that current PAs do not cover all taxa, leaving out important areas for conservation. We demonstrate that by using optimization algorithms it is possible to include most species groups in spatial conservation planning in the Azores with the current resources. With increasing availability of data and methods, this approach could be readily extended to other islands and regions with high endemism levels. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Assessing the efficiency of protected areas to represent biodiversity : a small island case studyConservation TargetsGenetic AlgorithmsProtected AreasSmall IslandsSpatial Conservation PlanningSpecies Distribution ModellingProtected areas (PAs) have been selected using either subjective or objective criteria applied to an extremely limited subset of biodiversity. Improved availability of species distribution data, better statistical tools to predict species distributions and algorithms to optimize spatial conservation planning allow many impediments to be overcome, particularly on small islands. This study analyses whether 219 species are adequately protected by PAs on Pico Island (theAzores, Portugal), and if they are as efficient as possible, maximizing species protection while minimizing costs. We performed distribution modelling of species’ potential distributions, proposed individual conservation targets (considering the context of each species in the archipelago and their current conservation status) to determine the efficiency of current PAs in meeting such targets and identify alternative or complementary areas relevant for conservation. Results showed that current PAs do not cover all taxa, leaving out important areas for conservation. We demonstrate that by using optimization algorithms it is possible to include most species groups in spatial conservation planning in the Azores with the current resources. With increasing availability of data and methods, this approach could be readily extended to other islands and regions with high endemism levels.Cambridge University PressRepositório da Universidade dos AçoresVergílio, Marta H. S.Fonseca, CatarinaCalado, HelenaBorges, Paulo A. V.Elias, Rui B.Gabriel, RosalinaMartins, AntónioAzevedo, Eduardo B.Cardoso, Pedro2018-06-06T15:22:24Z2016-122016-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/4717engVergílio, M., Fonseca, C., Calado, H., Borges, P.A.V., Elias, R.B., Gabriel, R., Martins. A.F. de, Azevedo, E.B. & Cardoso, P. (2016). Assessing the efficiency of protected areas to represent biodiversity: a small island case study. "Environmental Conservation", 43(4): 337-349. DOI:10.1017/S037689291600014X0376-892910.1017/S037689291600014X1469-4387000387551700004info: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:RCAAP2022-12-20T14:32:48Zoai:repositorio.uac.pt:10400.3/4717Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:26:56.842035Repositório 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 |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study |
title |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study |
spellingShingle |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study Vergílio, Marta H. S. Conservation Targets Genetic Algorithms Protected Areas Small Islands Spatial Conservation Planning Species Distribution Modelling |
title_short |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study |
title_full |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study |
title_fullStr |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study |
title_full_unstemmed |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study |
title_sort |
Assessing the efficiency of protected areas to represent biodiversity : a small island case study |
author |
Vergílio, Marta H. S. |
author_facet |
Vergílio, Marta H. S. Fonseca, Catarina Calado, Helena Borges, Paulo A. V. Elias, Rui B. Gabriel, Rosalina Martins, António Azevedo, Eduardo B. Cardoso, Pedro |
author_role |
author |
author2 |
Fonseca, Catarina Calado, Helena Borges, Paulo A. V. Elias, Rui B. Gabriel, Rosalina Martins, António Azevedo, Eduardo B. Cardoso, Pedro |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade dos Açores |
dc.contributor.author.fl_str_mv |
Vergílio, Marta H. S. Fonseca, Catarina Calado, Helena Borges, Paulo A. V. Elias, Rui B. Gabriel, Rosalina Martins, António Azevedo, Eduardo B. Cardoso, Pedro |
dc.subject.por.fl_str_mv |
Conservation Targets Genetic Algorithms Protected Areas Small Islands Spatial Conservation Planning Species Distribution Modelling |
topic |
Conservation Targets Genetic Algorithms Protected Areas Small Islands Spatial Conservation Planning Species Distribution Modelling |
description |
Protected areas (PAs) have been selected using either subjective or objective criteria applied to an extremely limited subset of biodiversity. Improved availability of species distribution data, better statistical tools to predict species distributions and algorithms to optimize spatial conservation planning allow many impediments to be overcome, particularly on small islands. This study analyses whether 219 species are adequately protected by PAs on Pico Island (theAzores, Portugal), and if they are as efficient as possible, maximizing species protection while minimizing costs. We performed distribution modelling of species’ potential distributions, proposed individual conservation targets (considering the context of each species in the archipelago and their current conservation status) to determine the efficiency of current PAs in meeting such targets and identify alternative or complementary areas relevant for conservation. Results showed that current PAs do not cover all taxa, leaving out important areas for conservation. We demonstrate that by using optimization algorithms it is possible to include most species groups in spatial conservation planning in the Azores with the current resources. With increasing availability of data and methods, this approach could be readily extended to other islands and regions with high endemism levels. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12 2016-12-01T00:00:00Z 2018-06-06T15:22:24Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.3/4717 |
url |
http://hdl.handle.net/10400.3/4717 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Vergílio, M., Fonseca, C., Calado, H., Borges, P.A.V., Elias, R.B., Gabriel, R., Martins. A.F. de, Azevedo, E.B. & Cardoso, P. (2016). Assessing the efficiency of protected areas to represent biodiversity: a small island case study. "Environmental Conservation", 43(4): 337-349. DOI:10.1017/S037689291600014X 0376-8929 10.1017/S037689291600014X 1469-4387 000387551700004 |
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 |
Cambridge University Press |
publisher.none.fl_str_mv |
Cambridge University Press |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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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1799130724403511296 |