Aptitude of areas around Rio Doce State Park for the implementation of agroforestry systems based on multi-criteria analysis

Detalhes bibliográficos
Autor(a) principal: Paula, Luiz Gustavo de Souza
Data de Publicação: 2022
Outros Autores: Ribeiro, Sônia Maria Carvalho
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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spelling 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
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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
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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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