Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG
| Main Author: | |
|---|---|
| Publication Date: | 2025 |
| Other Authors: | , , , , |
| Format: | Article |
| Language: | por |
| Source: | Ciência Florestal (Online) |
| Download full: | https://periodicos.ufsm.br/cienciaflorestal/article/view/85863 |
Summary: | Payment for Environmental Services (PSA) offers economic incentives for the implementation of conservation practices, rewarding those who maintain ecosystem environmental services. The objective of this work is to indicate conservation practices on a rural property that is suitable for PSA, using the application of the USPED model (Unit Stream Power Erosion and Deposition) and the Genetic Algorithm (GA) metaheuristic to identify potential areas of erosion and sediment deposition. Maps of land use, slope and permanent preservation areas (APP) were generated with data from the Rural Environmental Registry (CAR), the Brazilian Forest Code and the use of the Geographic Information System (GIS). The USPED model was calculated to obtain the net soil erosion/deposition rate. The optimization of vegetation zones was carried out using the Genetic Algorithm (GA) metaheuristic, programmed in Python, obtaining areas that minimize erosion through the location of vegetation zones on the rural property. The results indicate that the implementation of conservation practices such as a direct planting system and the implementation of crop-livestock-forest integration are essential to reduce erosion by up to 60% and improve soil fertility. The land use analysis revealed the need to restore 6.7 ha of APP areas. Adopting these conservation practices and participating in PES programs can significantly reduce erosion and improve soil and water quality in the region. |
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Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MGPagamento por Serviços Ambientais e práticas conservacionistas do solo: estudo de caso em uma propriedade rural inserida na sub-bacia Hidrográfica do Rio Turvo - MGLandscape analysisEnvironmental modelingEcosystem serviceAnálise da paisagemModelagem ambientalServiço ecossistêmicoPayment for Environmental Services (PSA) offers economic incentives for the implementation of conservation practices, rewarding those who maintain ecosystem environmental services. The objective of this work is to indicate conservation practices on a rural property that is suitable for PSA, using the application of the USPED model (Unit Stream Power Erosion and Deposition) and the Genetic Algorithm (GA) metaheuristic to identify potential areas of erosion and sediment deposition. Maps of land use, slope and permanent preservation areas (APP) were generated with data from the Rural Environmental Registry (CAR), the Brazilian Forest Code and the use of the Geographic Information System (GIS). The USPED model was calculated to obtain the net soil erosion/deposition rate. The optimization of vegetation zones was carried out using the Genetic Algorithm (GA) metaheuristic, programmed in Python, obtaining areas that minimize erosion through the location of vegetation zones on the rural property. The results indicate that the implementation of conservation practices such as a direct planting system and the implementation of crop-livestock-forest integration are essential to reduce erosion by up to 60% and improve soil fertility. The land use analysis revealed the need to restore 6.7 ha of APP areas. Adopting these conservation practices and participating in PES programs can significantly reduce erosion and improve soil and water quality in the region.O Pagamento por Serviços Ambientais (PSA) oferece incentivos econômicos para a implementação de práticas conservacionistas, recompensando aqueles que mantêm serviços ambientais ecossistêmicos. O objetivo deste trabalho consiste em indicar práticas conservacionistas em uma propriedade rural que esteja apta para o PSA, utilizando a aplicação do modelo USPED (Unit Stream Power Erosion and Deposition) e a metaheurística Algoritmo Genético (AG) para identificar as áreas potenciais de erosão e deposição de sedimentos. Foram gerados mapas de uso do solo, declividade e áreas de preservação permanente (APP) com dados do Cadastro Ambiental Rural (CAR), do Código Florestal Brasileiro e do uso do Sistema de Informações Geográficas (SIG). Realizou-se o cálculo do modelo USPED para obter a taxa liquida de erosão/deposição do solo. A otimização das zonas de vegetação foi realizada usando a metaheurística Algoritmo Genético (AG), programado em Python, obtendo as áreas que minimizam a erosão por meio da locação das zonas de vegetação na propriedade rural. Os resultados indicam que a implementação de práticas conservacionistas, como sistema de plantio direto e implementação da integração lavoura-pecuária-floresta, são essenciais para abater a erosão em até 60 % e melhorar a fertilidade do solo. A análise de uso do solo revelou a necessidade de restaurar 6,7 ha de áreas de APP. A adoção dessas práticas conservacionistas e a participação em programas de PSA podem significativamente reduzir a erosão e melhorar a qualidade do solo e da água na região.Universidade Federal de Santa Maria2025-03-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/8586310.5902/1980509885863Ciência Florestal; v. 35 (2025): Publicação Contínua; e85863Ciência Florestal; v. 35 (2025): Publicação Contínua; e858631980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/85863/66276Copyright (c) 2024 Ciência Florestalinfo:eu-repo/semantics/openAccessSilva, Luiza Maria Affonso LopesSantana, Rodrigo NobreMenezes, Sady Júnior Martins da Costa deDomingues, Getúlio FonsecaRibeiro, Carlos Antonio Alvares SoaresRosa, Alexandre Rosa dos Santos2025-10-13T12:44:17Zoai:ojs.pkp.sfu.ca:article/85863Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2025-10-13T12:44:17Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
| dc.title.none.fl_str_mv |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG Pagamento por Serviços Ambientais e práticas conservacionistas do solo: estudo de caso em uma propriedade rural inserida na sub-bacia Hidrográfica do Rio Turvo - MG |
| title |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG |
| spellingShingle |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG Silva, Luiza Maria Affonso Lopes Landscape analysis Environmental modeling Ecosystem service Análise da paisagem Modelagem ambiental Serviço ecossistêmico |
| title_short |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG |
| title_full |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG |
| title_fullStr |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG |
| title_full_unstemmed |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG |
| title_sort |
Payment for Environmental Services and soil conservation practices: a case study on a rural property in the Rio Turvo sub-basin, MG |
| author |
Silva, Luiza Maria Affonso Lopes |
| author_facet |
Silva, Luiza Maria Affonso Lopes Santana, Rodrigo Nobre Menezes, Sady Júnior Martins da Costa de Domingues, Getúlio Fonseca Ribeiro, Carlos Antonio Alvares Soares Rosa, Alexandre Rosa dos Santos |
| author_role |
author |
| author2 |
Santana, Rodrigo Nobre Menezes, Sady Júnior Martins da Costa de Domingues, Getúlio Fonseca Ribeiro, Carlos Antonio Alvares Soares Rosa, Alexandre Rosa dos Santos |
| author2_role |
author author author author author |
| dc.contributor.author.fl_str_mv |
Silva, Luiza Maria Affonso Lopes Santana, Rodrigo Nobre Menezes, Sady Júnior Martins da Costa de Domingues, Getúlio Fonseca Ribeiro, Carlos Antonio Alvares Soares Rosa, Alexandre Rosa dos Santos |
| dc.subject.por.fl_str_mv |
Landscape analysis Environmental modeling Ecosystem service Análise da paisagem Modelagem ambiental Serviço ecossistêmico |
| topic |
Landscape analysis Environmental modeling Ecosystem service Análise da paisagem Modelagem ambiental Serviço ecossistêmico |
| description |
Payment for Environmental Services (PSA) offers economic incentives for the implementation of conservation practices, rewarding those who maintain ecosystem environmental services. The objective of this work is to indicate conservation practices on a rural property that is suitable for PSA, using the application of the USPED model (Unit Stream Power Erosion and Deposition) and the Genetic Algorithm (GA) metaheuristic to identify potential areas of erosion and sediment deposition. Maps of land use, slope and permanent preservation areas (APP) were generated with data from the Rural Environmental Registry (CAR), the Brazilian Forest Code and the use of the Geographic Information System (GIS). The USPED model was calculated to obtain the net soil erosion/deposition rate. The optimization of vegetation zones was carried out using the Genetic Algorithm (GA) metaheuristic, programmed in Python, obtaining areas that minimize erosion through the location of vegetation zones on the rural property. The results indicate that the implementation of conservation practices such as a direct planting system and the implementation of crop-livestock-forest integration are essential to reduce erosion by up to 60% and improve soil fertility. The land use analysis revealed the need to restore 6.7 ha of APP areas. Adopting these conservation practices and participating in PES programs can significantly reduce erosion and improve soil and water quality in the region. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025-03-28 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/85863 10.5902/1980509885863 |
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https://periodicos.ufsm.br/cienciaflorestal/article/view/85863 |
| identifier_str_mv |
10.5902/1980509885863 |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/85863/66276 |
| dc.rights.driver.fl_str_mv |
Copyright (c) 2024 Ciência Florestal info:eu-repo/semantics/openAccess |
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Copyright (c) 2024 Ciência Florestal |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
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Universidade Federal de Santa Maria |
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Ciência Florestal; v. 35 (2025): Publicação Contínua; e85863 Ciência Florestal; v. 35 (2025): Publicação Contínua; e85863 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
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Universidade Federal de Santa Maria (UFSM) |
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UFSM |
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UFSM |
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Ciência Florestal (Online) |
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Ciência Florestal (Online) |
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Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
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||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
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