Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Floresta e Ambiente |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000200121 |
Resumo: | Abstract This study aimed to identify priority areas for the passive restoration of the Arauaí river basin, municipality of Moju, Pará, using a multicriteria model. This basin is located in a region with intense land use dynamics and expansion of oil palm cultivation, and with high forest loss and fragmentation. The Weighted Linear Combination method was used, with the aggregation of five criteria (Natural Erosion Vulnerability, Potential Land Use and Cover to Passive Restoration, Proximity to the Primary Forest, Forest cover deficit in PPAs, and Distance from Roads and Highways). This analysis allowed to evaluate different biophysical classes and types of land use that affect the selection of areas for restoration. A total of 207.82 km2 of priority areas for passive restoration were identified in the studied basin, with about 80% of its priority areas having medium to very high priority. The final map generated proved to be a useful instrument in the environmental management of restoration plans in the Amazon watershed. |
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Floresta e Ambiente |
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Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazilmulticriteria analysisland useforest covernatural regenerationAbstract This study aimed to identify priority areas for the passive restoration of the Arauaí river basin, municipality of Moju, Pará, using a multicriteria model. This basin is located in a region with intense land use dynamics and expansion of oil palm cultivation, and with high forest loss and fragmentation. The Weighted Linear Combination method was used, with the aggregation of five criteria (Natural Erosion Vulnerability, Potential Land Use and Cover to Passive Restoration, Proximity to the Primary Forest, Forest cover deficit in PPAs, and Distance from Roads and Highways). This analysis allowed to evaluate different biophysical classes and types of land use that affect the selection of areas for restoration. A total of 207.82 km2 of priority areas for passive restoration were identified in the studied basin, with about 80% of its priority areas having medium to very high priority. The final map generated proved to be a useful instrument in the environmental management of restoration plans in the Amazon watershed.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000200121Floresta e Ambiente v.27 n.2 2020reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.014418info:eu-repo/semantics/openAccessSilva,Tatiane Camila MartinsVieira,Ima Célia Guimarãeseng2020-08-05T00:00:00Zoai:scielo:S2179-80872020000200121Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2020-08-05T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil |
title |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil |
spellingShingle |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil Silva,Tatiane Camila Martins multicriteria analysis land use forest cover natural regeneration |
title_short |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil |
title_full |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil |
title_fullStr |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil |
title_full_unstemmed |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil |
title_sort |
Identification of Priority Areas for Ecological Restoration in Eastern Pará, Brazil |
author |
Silva,Tatiane Camila Martins |
author_facet |
Silva,Tatiane Camila Martins Vieira,Ima Célia Guimarães |
author_role |
author |
author2 |
Vieira,Ima Célia Guimarães |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silva,Tatiane Camila Martins Vieira,Ima Célia Guimarães |
dc.subject.por.fl_str_mv |
multicriteria analysis land use forest cover natural regeneration |
topic |
multicriteria analysis land use forest cover natural regeneration |
description |
Abstract This study aimed to identify priority areas for the passive restoration of the Arauaí river basin, municipality of Moju, Pará, using a multicriteria model. This basin is located in a region with intense land use dynamics and expansion of oil palm cultivation, and with high forest loss and fragmentation. The Weighted Linear Combination method was used, with the aggregation of five criteria (Natural Erosion Vulnerability, Potential Land Use and Cover to Passive Restoration, Proximity to the Primary Forest, Forest cover deficit in PPAs, and Distance from Roads and Highways). This analysis allowed to evaluate different biophysical classes and types of land use that affect the selection of areas for restoration. A total of 207.82 km2 of priority areas for passive restoration were identified in the studied basin, with about 80% of its priority areas having medium to very high priority. The final map generated proved to be a useful instrument in the environmental management of restoration plans in the Amazon watershed. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000200121 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000200121 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2179-8087.014418 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
dc.source.none.fl_str_mv |
Floresta e Ambiente v.27 n.2 2020 reponame:Floresta e Ambiente instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Floresta e Ambiente |
collection |
Floresta e Ambiente |
repository.name.fl_str_mv |
Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
floramjournal@gmail.com||floram@ufrrj.br|| |
_version_ |
1750128143604121600 |