Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration

Detalhes bibliográficos
Autor(a) principal: de Mendonça, Gislaine Costa [UNESP]
Data de Publicação: 2022
Outros Autores: Costa, Renata Cristina Araújo [UNESP], Parras, Rafael [UNESP], de Oliveira, Laís Caroline Marianno [UNESP], Abdo, Maria Teresa Vilela Nogueira [UNESP], Pacheco, Fernando António Leal [UNESP], Pissarra, Teresa Cristina Tarlé [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.scitotenv.2022.156185
http://hdl.handle.net/11449/241921
Resumo: The ecological functions restoration in agricultural areas is a major challenge on a landscape scale. In the specific case of active restoration through Agroforestry Systems (AFS), the absence of a specific direction hinders ecological restoration processes, especially in regions that prefer intensive agriculture. Thus, this study aims to develop a Spatial Indicator of Priority Areas to guide Agroforestry Systems implementation in agricultural landscapes. A spatial multicriteria decision analysis (MDCA) was carried out based on environmental factors: soil, geology and slope (which determine the natural vulnerability of the land) and anthropogenic factors: land use and land cover, forest fragments, potential land use capacity and legal protected areas in rural properties (which reflects human pressure and land use suitability). Subsequently, four priority levels were classified for agroforestry interventions: (1) Low priority; (2) Average priority; (3) High priority; (4) Extreme priority. A final map was made to identify priority areas for landscape recovery in 9 cities located at the mouth of the Mogi Guaçu River Hydrographic Basin, State of São Paulo, Brazil. Considering the natural vulnerability of the land and the multifunctional aspects of the landscape, the scenarios projection allowed a consensus for forest conservation and agricultural suitability perspectives. A final combination of the explored aspects culminated in the spatial indicator, which model foresees 22,300 ha available for urgent actions for restoration, reforestation and sustainable exploitation through agroforestry systems. We emphasize the challenges in reconciling the socioeconomic and ecological functions in the agroecosystem, however, the metric provides a more inclusive and assertive management strategy for natural resources and advances towards the goal of reforestation and implementation of payment for environmental services (PES) schemes.
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spelling Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restorationEcological restorationEcosystem servicesForest-based economyLand use policy – governanceNatural vulnerabilityPayments for environmental servicesThe ecological functions restoration in agricultural areas is a major challenge on a landscape scale. In the specific case of active restoration through Agroforestry Systems (AFS), the absence of a specific direction hinders ecological restoration processes, especially in regions that prefer intensive agriculture. Thus, this study aims to develop a Spatial Indicator of Priority Areas to guide Agroforestry Systems implementation in agricultural landscapes. A spatial multicriteria decision analysis (MDCA) was carried out based on environmental factors: soil, geology and slope (which determine the natural vulnerability of the land) and anthropogenic factors: land use and land cover, forest fragments, potential land use capacity and legal protected areas in rural properties (which reflects human pressure and land use suitability). Subsequently, four priority levels were classified for agroforestry interventions: (1) Low priority; (2) Average priority; (3) High priority; (4) Extreme priority. A final map was made to identify priority areas for landscape recovery in 9 cities located at the mouth of the Mogi Guaçu River Hydrographic Basin, State of São Paulo, Brazil. Considering the natural vulnerability of the land and the multifunctional aspects of the landscape, the scenarios projection allowed a consensus for forest conservation and agricultural suitability perspectives. A final combination of the explored aspects culminated in the spatial indicator, which model foresees 22,300 ha available for urgent actions for restoration, reforestation and sustainable exploitation through agroforestry systems. We emphasize the challenges in reconciling the socioeconomic and ecological functions in the agroecosystem, however, the metric provides a more inclusive and assertive management strategy for natural resources and advances towards the goal of reforestation and implementation of payment for environmental services (PES) schemes.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação para a Ciência e a TecnologiaUNESP/FCAV - São Paulo State University Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/nGuarulhos University (UNG), Praça Tereza Cristina, 239APTA - São Paulo Agency of Agribusiness Technology, Pindorama Pole, Washington Luis Highway, Km 371, s/nCQVR—Chemistry Center of Vila Real University of Trás-os-Montes and Alto Douro, Ap. 1013POLUS—Land Use Policy Group Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/nUNESP/FCAV - São Paulo State University Faculty of Agrarian and Veterinary Sciences, Access Way Prof. Paulo Donato Castellane, s/nPOLUS—Land Use Policy Group Paulista State University (UNESP), Access Way Prof. Paulo Donato Castellane, s/nFAPESP: 2018/17044-4CNPq: 405976/2021CAPES: 88887.493039/2020-00Fundação para a Ciência e a Tecnologia: UIDB/00616/2020Universidade Estadual Paulista (UNESP)Guarulhos University (UNG)APTA - São Paulo Agency of Agribusiness TechnologyUniversity of Trás-os-Montes and Alto Dourode Mendonça, Gislaine Costa [UNESP]Costa, Renata Cristina Araújo [UNESP]Parras, Rafael [UNESP]de Oliveira, Laís Caroline Marianno [UNESP]Abdo, Maria Teresa Vilela Nogueira [UNESP]Pacheco, Fernando António Leal [UNESP]Pissarra, Teresa Cristina Tarlé [UNESP]2023-03-02T04:20:47Z2023-03-02T04:20:47Z2022-09-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.scitotenv.2022.156185Science of the Total Environment, v. 839.1879-10260048-9697http://hdl.handle.net/11449/24192110.1016/j.scitotenv.2022.1561852-s2.0-85131430685Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScience of the Total Environmentinfo:eu-repo/semantics/openAccess2024-06-06T15:18:04Zoai:repositorio.unesp.br:11449/241921Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:53:48.987993Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
title Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
spellingShingle Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
de Mendonça, Gislaine Costa [UNESP]
Ecological restoration
Ecosystem services
Forest-based economy
Land use policy – governance
Natural vulnerability
Payments for environmental services
title_short Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
title_full Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
title_fullStr Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
title_full_unstemmed Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
title_sort Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
author de Mendonça, Gislaine Costa [UNESP]
author_facet de Mendonça, Gislaine Costa [UNESP]
Costa, Renata Cristina Araújo [UNESP]
Parras, Rafael [UNESP]
de Oliveira, Laís Caroline Marianno [UNESP]
Abdo, Maria Teresa Vilela Nogueira [UNESP]
Pacheco, Fernando António Leal [UNESP]
Pissarra, Teresa Cristina Tarlé [UNESP]
author_role author
author2 Costa, Renata Cristina Araújo [UNESP]
Parras, Rafael [UNESP]
de Oliveira, Laís Caroline Marianno [UNESP]
Abdo, Maria Teresa Vilela Nogueira [UNESP]
Pacheco, Fernando António Leal [UNESP]
Pissarra, Teresa Cristina Tarlé [UNESP]
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Guarulhos University (UNG)
APTA - São Paulo Agency of Agribusiness Technology
University of Trás-os-Montes and Alto Douro
dc.contributor.author.fl_str_mv de Mendonça, Gislaine Costa [UNESP]
Costa, Renata Cristina Araújo [UNESP]
Parras, Rafael [UNESP]
de Oliveira, Laís Caroline Marianno [UNESP]
Abdo, Maria Teresa Vilela Nogueira [UNESP]
Pacheco, Fernando António Leal [UNESP]
Pissarra, Teresa Cristina Tarlé [UNESP]
dc.subject.por.fl_str_mv Ecological restoration
Ecosystem services
Forest-based economy
Land use policy – governance
Natural vulnerability
Payments for environmental services
topic Ecological restoration
Ecosystem services
Forest-based economy
Land use policy – governance
Natural vulnerability
Payments for environmental services
description The ecological functions restoration in agricultural areas is a major challenge on a landscape scale. In the specific case of active restoration through Agroforestry Systems (AFS), the absence of a specific direction hinders ecological restoration processes, especially in regions that prefer intensive agriculture. Thus, this study aims to develop a Spatial Indicator of Priority Areas to guide Agroforestry Systems implementation in agricultural landscapes. A spatial multicriteria decision analysis (MDCA) was carried out based on environmental factors: soil, geology and slope (which determine the natural vulnerability of the land) and anthropogenic factors: land use and land cover, forest fragments, potential land use capacity and legal protected areas in rural properties (which reflects human pressure and land use suitability). Subsequently, four priority levels were classified for agroforestry interventions: (1) Low priority; (2) Average priority; (3) High priority; (4) Extreme priority. A final map was made to identify priority areas for landscape recovery in 9 cities located at the mouth of the Mogi Guaçu River Hydrographic Basin, State of São Paulo, Brazil. Considering the natural vulnerability of the land and the multifunctional aspects of the landscape, the scenarios projection allowed a consensus for forest conservation and agricultural suitability perspectives. A final combination of the explored aspects culminated in the spatial indicator, which model foresees 22,300 ha available for urgent actions for restoration, reforestation and sustainable exploitation through agroforestry systems. We emphasize the challenges in reconciling the socioeconomic and ecological functions in the agroecosystem, however, the metric provides a more inclusive and assertive management strategy for natural resources and advances towards the goal of reforestation and implementation of payment for environmental services (PES) schemes.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-15
2023-03-02T04:20:47Z
2023-03-02T04:20:47Z
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/10.1016/j.scitotenv.2022.156185
Science of the Total Environment, v. 839.
1879-1026
0048-9697
http://hdl.handle.net/11449/241921
10.1016/j.scitotenv.2022.156185
2-s2.0-85131430685
url http://dx.doi.org/10.1016/j.scitotenv.2022.156185
http://hdl.handle.net/11449/241921
identifier_str_mv Science of the Total Environment, v. 839.
1879-1026
0048-9697
10.1016/j.scitotenv.2022.156185
2-s2.0-85131430685
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Science of the Total Environment
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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