Ecosystem Services Modeling as a Tool for Defining Priority Areas for Conservation
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
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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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:29462024-08-05T14:06:50.347060Repositório 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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
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 2-s2.0-85013319050.pdf 4158685235743119 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PloS one 1,164 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
e0154573 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128317236183040 |