Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/39173 |
Resumo: | The Long-Term Ecological Research Program (PELD), conducted studies in communities located near Rio Doce State Park that have resulted in several participative scenarios. These results have a spatially explicit model that presents aptitudes of areas around the park for the implementation of agroforestry systems. This model was built with AHP (Analytic Hierarchy Process) multi-criteria analysis method and using geographic information system tools. The result presents locations and sizes of the areas, according to its levels of aptitude for agroforestry plantations that have environmental preservation and income generation as priority. The variables applied for the analysis are: a) Normalized Difference Vegetation Index (NDVI); b) occurrence of Permanent Preservation Areas (APP); c) Land use/cover classification; d) proximity of access roads. The areas which show the highest levels of aptitude total 5.580 hectares. They have all the good characteristics, according to the analyzed variables: located in rural areas, close to roads, inside Permanent Preservation Areas and low level of vegetation. A large part of these areas are adjacent to the park, mainly, near the border with Municipality of Coronel Fabriciano and Timóteo, both in Minas Gerais state The biggest areas are located by the most important of the region river’s edge. Also, another analysis made by this work considered results outside the Permanent Preservation Areas. In this case, it can be noticed that there is a greater concentration of areas with the highest levels of aptitude in rural zones of the municipalities of Coronel Fabriciano, Ipatinga and Caratinga, in MG state. In the light of all the aspects analyzed, the conclusion is that the models generated can assist future works for the implementation of Agroforestry Systems in the region, giving initial indications about the best areas for plantings. |
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Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysisAptidão das áreas no entorno do Parque Estadual do Rio Doce para implementação de sistemas agroflorestais com base em análise multicritério Processo hierárquico analíticoModelo espacialmente explícitoPlantio de agroflorestasAnalytic hierarchy processSpatially explicit modelAgroforestry systems plantationThe Long-Term Ecological Research Program (PELD), conducted studies in communities located near Rio Doce State Park that have resulted in several participative scenarios. These results have a spatially explicit model that presents aptitudes of areas around the park for the implementation of agroforestry systems. This model was built with AHP (Analytic Hierarchy Process) multi-criteria analysis method and using geographic information system tools. The result presents locations and sizes of the areas, according to its levels of aptitude for agroforestry plantations that have environmental preservation and income generation as priority. The variables applied for the analysis are: a) Normalized Difference Vegetation Index (NDVI); b) occurrence of Permanent Preservation Areas (APP); c) Land use/cover classification; d) proximity of access roads. The areas which show the highest levels of aptitude total 5.580 hectares. They have all the good characteristics, according to the analyzed variables: located in rural areas, close to roads, inside Permanent Preservation Areas and low level of vegetation. A large part of these areas are adjacent to the park, mainly, near the border with Municipality of Coronel Fabriciano and Timóteo, both in Minas Gerais state The biggest areas are located by the most important of the region river’s edge. Also, another analysis made by this work considered results outside the Permanent Preservation Areas. In this case, it can be noticed that there is a greater concentration of areas with the highest levels of aptitude in rural zones of the municipalities of Coronel Fabriciano, Ipatinga and Caratinga, in MG state. In the light of all the aspects analyzed, the conclusion is that the models generated can assist future works for the implementation of Agroforestry Systems in the region, giving initial indications about the best areas for plantings.O Programa de Pesquisas Ecológicas de Longa Duração (PELD) realizou estudos junto às comunidades vizinhas do Parque Estadual do Rio Doce (PERD), no Vale do Aço em Minas Gerais, que resultaram em diversos cenários locais participativos. Entre esses resultados, foi elaborado um modelo espacialmente explícito que apresenta as aptidões das áreas pertencentes ao entorno do parque, para implementação de sistemas agroflorestais (SAF). O modelo foi construído com base no método de análise multicritério AHP (Analytic Hierarchy Process), com apoio de ferramentas de informação geográfica. O resultado apresentou as localizações e os tamanhos das áreas aptas para agroflorestas voltadas para a preservação ambiental e para geração de renda. As variáveis aplicadas foram: a) Índice de Vegetação de Diferença Normalizada (NDVI); b) Áreas de Preservação Permanente (APP); c) Classificação de Uso e Cobertura da Terra; d) proximidade de vias de acesso. As áreas de aptidão mais elevada para os SAF somam 5.580 hectares. Estas apresentam todas as características propícias, de acordo com as variáveis analisadas: fazem parte de áreas rurais antropizadas aquelas próximas às rodovias, dentro de APPs e com baixo índice de vegetação. Entre estas, grande parte são adjacentes ao PERD, principalmente nas zonas rurais de Coronel Fabriciano-MG e Timóteo-MG. As porções mais extensas são localizadas às margens dos rios maiores. Além disso, a partir de uma análise complementar, também foram identificados os perímetros mais aptos para os SAF que não fazem parte de APP. Por sua vez, estas áreas foram encontradas, em sua maioria, dentro das áreas rurais dos municípios de Coronel Fabriciano-MG, Ipatinga-MG e Caratinga-MG. Diante de todos os aspectos analisados, concluiu-se que os modelos gerados podem auxiliar trabalhos de implementação de SAF naquela região, dando suporte inicial para identificação das áreas mais propícias ao plantio.Universidade Federal de Santa Maria2022-03-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontextoinfo:eu-repo/semantics/otherapplication/pdftext/xmlhttps://periodicos.ufsm.br/cienciaflorestal/article/view/3917310.5902/1980509839173Ciência Florestal; Vol. 32 No. 1 (2022); 474-492Ciência Florestal; v. 32 n. 1 (2022); 474-4921980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/39173/46368https://periodicos.ufsm.br/cienciaflorestal/article/view/39173/50708Copyright (c) 2022 Ciência Florestalhttps://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessPaula, Luiz Gustavo de SouzaRibeiro, Sônia Maria Carvalho2023-03-22T14:08:47Zoai:ojs.pkp.sfu.ca:article/39173Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2023-03-22T14:08:47Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis Aptidão das áreas no entorno do Parque Estadual do Rio Doce para implementação de sistemas agroflorestais com base em análise multicritério |
title |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis |
spellingShingle |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis Paula, Luiz Gustavo de Souza Processo hierárquico analítico Modelo espacialmente explícito Plantio de agroflorestas Analytic hierarchy process Spatially explicit model Agroforestry systems plantation |
title_short |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis |
title_full |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis |
title_fullStr |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis |
title_full_unstemmed |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis |
title_sort |
Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis |
author |
Paula, Luiz Gustavo de Souza |
author_facet |
Paula, Luiz Gustavo de Souza Ribeiro, Sônia Maria Carvalho |
author_role |
author |
author2 |
Ribeiro, Sônia Maria Carvalho |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Paula, Luiz Gustavo de Souza Ribeiro, Sônia Maria Carvalho |
dc.subject.por.fl_str_mv |
Processo hierárquico analítico Modelo espacialmente explícito Plantio de agroflorestas Analytic hierarchy process Spatially explicit model Agroforestry systems plantation |
topic |
Processo hierárquico analítico Modelo espacialmente explícito Plantio de agroflorestas Analytic hierarchy process Spatially explicit model Agroforestry systems plantation |
description |
The Long-Term Ecological Research Program (PELD), conducted studies in communities located near Rio Doce State Park that have resulted in several participative scenarios. These results have a spatially explicit model that presents aptitudes of areas around the park for the implementation of agroforestry systems. This model was built with AHP (Analytic Hierarchy Process) multi-criteria analysis method and using geographic information system tools. The result presents locations and sizes of the areas, according to its levels of aptitude for agroforestry plantations that have environmental preservation and income generation as priority. The variables applied for the analysis are: a) Normalized Difference Vegetation Index (NDVI); b) occurrence of Permanent Preservation Areas (APP); c) Land use/cover classification; d) proximity of access roads. The areas which show the highest levels of aptitude total 5.580 hectares. They have all the good characteristics, according to the analyzed variables: located in rural areas, close to roads, inside Permanent Preservation Areas and low level of vegetation. A large part of these areas are adjacent to the park, mainly, near the border with Municipality of Coronel Fabriciano and Timóteo, both in Minas Gerais state The biggest areas are located by the most important of the region river’s edge. Also, another analysis made by this work considered results outside the Permanent Preservation Areas. In this case, it can be noticed that there is a greater concentration of areas with the highest levels of aptitude in rural zones of the municipalities of Coronel Fabriciano, Ipatinga and Caratinga, in MG state. In the light of all the aspects analyzed, the conclusion is that the models generated can assist future works for the implementation of Agroforestry Systems in the region, giving initial indications about the best areas for plantings. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-25 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion texto info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/39173 10.5902/1980509839173 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/39173 |
identifier_str_mv |
10.5902/1980509839173 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/39173/46368 https://periodicos.ufsm.br/cienciaflorestal/article/view/39173/50708 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Ciência Florestal https://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Ciência Florestal https://creativecommons.org/licenses/by-nc/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal; Vol. 32 No. 1 (2022); 474-492 Ciência Florestal; v. 32 n. 1 (2022); 474-492 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Florestal (Online) |
collection |
Ciência Florestal (Online) |
repository.name.fl_str_mv |
Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
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1799944135146209280 |