Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the efficient allocation of vegetation zones, which serve as effective agents in reducing erosion caused by surface runoff in areas with exposed soil. The use of geotechnology tools, such as Geographic Information Systems (GIS) and the Unit Stream Power‐Based Erosion Deposition (USPED) model, helps identify areas most susceptible to sediment loss and deposition. Additionally, the application of Genetic Algorithms (GA) to maximize scenario simulations and optimize the placement of vegetation zones is crucial for minimizing erosion rates and achieving results more quickly and accurately. The results indicated that, among the simulated scenarios, erosion and deposition values remained mostly below 0.10 t ha −1 year −1 , characterizing low soil loss. The application of GA reduced erosion by up to 53.85% in the most efficient scenario and increased forest cover by approximately 66.5%, demonstrating its effectiveness in precision environmental restoration. This methodology proved to be useful and applicable to any watershed, serving as an effective tool for environmental management, erosion and sediment deposition studies, and monitoring of natural resources.

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Publication Details

Journal
Land Degradation and Development
Published
2025-10-29
DOI
https://doi.org/10.1002/ldr.70270
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.00

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article

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Alexandre Rosa dos Santos, Rodrigo Nobre Santana, L.M.R. Silva, Getúlio Fonseca Domingues et al.
Land Degradation and Development
Soil erosion and sediment transport
article

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Alexandre Rosa dos Santos, Rodrigo Nobre Santana, L.M.R. Silva, Getúlio Fonseca Domingues, Sady Júnior Martins da Costa de Menezes, Plínio Antônio Guerra Filho, Carlos Antônio Álvares Soares Ribeiro
article en

Abstract

ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the efficient allocation of vegetation zones, which serve as effective agents in reducing erosion caused by surface runoff in areas with exposed soil. The use of geotechnology tools, such as Geographic Information Systems (GIS) and the Unit Stream Power‐Based Erosion Deposition (USPED) model, helps identify areas most susceptible to sediment loss and deposition. Additionally, the application of Genetic Algorithms (GA) to maximize scenario simulations and optimize the placement of vegetation zones is crucial for minimizing erosion rates and achieving results more quickly and accurately. The results indicated that, among the simulated scenarios, erosion and deposition values remained mostly below 0.10 t ha −1 year −1 , characterizing low soil loss. The application of GA reduced erosion by up to 53.85% in the most efficient scenario and increased forest cover by approximately 66.5%, demonstrating its effectiveness in precision environmental restoration. This methodology proved to be useful and applicable to any watershed, serving as an effective tool for environmental management, erosion and sediment deposition studies, and monitoring of natural resources.

Land Degradation and Development
Universidade Federal de Minas Gerais (BR), Universidade Federal de Viçosa (BR), Universidade Federal Rural do Rio de Janeiro (BR), Universidade Federal do Maranhão (BR), Universidade Federal do Espírito Santo (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 61%
Soil erosion and sediment transport
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