Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation

Detalhes bibliográficos
Autor(a) principal: Duarte, Gabriela Teixeira
Data de Publicação: 2016
Outros Autores: Ribeiro, Milton Cezar, Paglia, Adriano Pereira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1371/journal.pone.0154573
http://hdl.handle.net/11449/176984
Resumo: Conservationists often have difficulty obtaining financial and social support for protected areas that do not demonstrate their benefits for society. Therefore, ecosystem services have gained importance in conservation science in the last decade, as these services provide further justification for appropriate management and conservation of natural systems. We used InVEST software and a set of GIS procedures to quantify, spatialize and evaluated the overlap between ecosystem services-carbon stock and sediment retention-and a biodiversity proxy-habitat quality. In addition, we proposed a method that serves as an initial approach of a priority areas selection process. The method considers the synergism between ecosystem services and biodiversity conservation. Our study region is the Iron Quadrangle, an important Brazilian mining province and a conservation priority area located in the interface of two biodiversity hotspots, the Cerrado and Atlantic Forest biomes. The resultant priority area for the maintenance of the highest values of ecosystem services and habitat quality was about 13% of the study area. Among those priority areas, 30% are already within established strictly protected areas, and 12% are in sustainable use protected areas. Following the transparent and highly replicable method we proposed in this study, conservation planners can better determine which areas fulfill multiple goals and can locate the trade-offs in the landscape. We also gave a step towards the improvement of the habitat quality model with a topography parameter. In areas of very rugged topography, we have to consider geomorfometric barriers for anthropogenic impacts and for species movement and we must think beyond the linear distances. Moreover, we used a model that considers the tree mortality caused by edge effects in the estimation of carbon stock. We found low spatial congruence among the modeled services, mostly because of the pattern of sediment retention distribution.
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spelling Ecosystem Services Modeling as a Tool for Defining Priority Areas for ConservationConservationists often have difficulty obtaining financial and social support for protected areas that do not demonstrate their benefits for society. Therefore, ecosystem services have gained importance in conservation science in the last decade, as these services provide further justification for appropriate management and conservation of natural systems. We used InVEST software and a set of GIS procedures to quantify, spatialize and evaluated the overlap between ecosystem services-carbon stock and sediment retention-and a biodiversity proxy-habitat quality. In addition, we proposed a method that serves as an initial approach of a priority areas selection process. The method considers the synergism between ecosystem services and biodiversity conservation. Our study region is the Iron Quadrangle, an important Brazilian mining province and a conservation priority area located in the interface of two biodiversity hotspots, the Cerrado and Atlantic Forest biomes. The resultant priority area for the maintenance of the highest values of ecosystem services and habitat quality was about 13% of the study area. Among those priority areas, 30% are already within established strictly protected areas, and 12% are in sustainable use protected areas. Following the transparent and highly replicable method we proposed in this study, conservation planners can better determine which areas fulfill multiple goals and can locate the trade-offs in the landscape. We also gave a step towards the improvement of the habitat quality model with a topography parameter. In areas of very rugged topography, we have to consider geomorfometric barriers for anthropogenic impacts and for species movement and we must think beyond the linear distances. Moreover, we used a model that considers the tree mortality caused by edge effects in the estimation of carbon stock. We found low spatial congruence among the modeled services, mostly because of the pattern of sediment retention distribution.Laboratório de Ecologia e Conservação, Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, BrazilLaboratório de Ecologia Espacial e Conservação (LEEC), Departamento de Ecologia, Universidade Estadual Paulista Julio de Mesquita (UNESP), Rio Claro, São Paulo, BrazilUniversidade Federal de Minas Gerais (UFMG)Universidade Estadual Paulista (Unesp)Duarte, Gabriela TeixeiraRibeiro, Milton CezarPaglia, Adriano Pereira2018-12-11T17:23:22Z2018-12-11T17:23:22Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlee0154573application/pdfhttp://dx.doi.org/10.1371/journal.pone.0154573PloS one, v. 11, n. 5, p. e0154573-, 2016.1932-6203http://hdl.handle.net/11449/17698410.1371/journal.pone.01545732-s2.0-850133190502-s2.0-85013319050.pdf4158685235743119Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPloS one1,164info:eu-repo/semantics/openAccess2023-10-05T06:08:43Zoai:repositorio.unesp.br:11449/176984Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-05T06:08:43Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
title Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
spellingShingle Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
Duarte, Gabriela Teixeira
title_short Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
title_full Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
title_fullStr Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
title_full_unstemmed Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
title_sort Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
author Duarte, Gabriela Teixeira
author_facet Duarte, Gabriela Teixeira
Ribeiro, Milton Cezar
Paglia, Adriano Pereira
author_role author
author2 Ribeiro, Milton Cezar
Paglia, Adriano Pereira
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Federal de Minas Gerais (UFMG)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Duarte, Gabriela Teixeira
Ribeiro, Milton Cezar
Paglia, Adriano Pereira
description Conservationists often have difficulty obtaining financial and social support for protected areas that do not demonstrate their benefits for society. Therefore, ecosystem services have gained importance in conservation science in the last decade, as these services provide further justification for appropriate management and conservation of natural systems. We used InVEST software and a set of GIS procedures to quantify, spatialize and evaluated the overlap between ecosystem services-carbon stock and sediment retention-and a biodiversity proxy-habitat quality. In addition, we proposed a method that serves as an initial approach of a priority areas selection process. The method considers the synergism between ecosystem services and biodiversity conservation. Our study region is the Iron Quadrangle, an important Brazilian mining province and a conservation priority area located in the interface of two biodiversity hotspots, the Cerrado and Atlantic Forest biomes. The resultant priority area for the maintenance of the highest values of ecosystem services and habitat quality was about 13% of the study area. Among those priority areas, 30% are already within established strictly protected areas, and 12% are in sustainable use protected areas. Following the transparent and highly replicable method we proposed in this study, conservation planners can better determine which areas fulfill multiple goals and can locate the trade-offs in the landscape. We also gave a step towards the improvement of the habitat quality model with a topography parameter. In areas of very rugged topography, we have to consider geomorfometric barriers for anthropogenic impacts and for species movement and we must think beyond the linear distances. Moreover, we used a model that considers the tree mortality caused by edge effects in the estimation of carbon stock. We found low spatial congruence among the modeled services, mostly because of the pattern of sediment retention distribution.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-12-11T17:23:22Z
2018-12-11T17:23:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1371/journal.pone.0154573
PloS one, v. 11, n. 5, p. e0154573-, 2016.
1932-6203
http://hdl.handle.net/11449/176984
10.1371/journal.pone.0154573
2-s2.0-85013319050
2-s2.0-85013319050.pdf
4158685235743119
url http://dx.doi.org/10.1371/journal.pone.0154573
http://hdl.handle.net/11449/176984
identifier_str_mv PloS one, v. 11, n. 5, p. e0154573-, 2016.
1932-6203
10.1371/journal.pone.0154573
2-s2.0-85013319050
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4158685235743119
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instname_str Universidade Estadual Paulista (UNESP)
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reponame_str Repositório Institucional da UNESP
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