Spatial indicator of priority areas for the implementation of agroforestry systems: An optimization strategy for agricultural landscapes restoration
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
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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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 |
|
_version_ |
1808128580344872961 |