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Lense,Guilherme Henrique Expedito; Parreiras,Taya Cristo; Moreira,Rodrigo Santos; Avanzi,Junior Cesar; Mincato,Ronaldo Luiz. |
ABSTRACT Water erosion is one of the main problems faced in coffee cultivation, as it promotes environmental degradation and crop yield decrease. Erosion estimates support the planning of conservation management practices and allowing determining the rates of soil losses. Thus, the objective of this paper was to estimate the soil loss by water erosion using the Erosion Potential Method in a sub-basin predominantly covered by coffee cultivation and then to compare the results with the Soil Loss Tolerance limits. The study area is the Coroado Stream Sub-basin, located at Alfenas Municipality, south of Minas Gerais, Brazil. The sub-basin presented an Erosion Coefficient of 0.272, indicating a predominance of low-intensity erosion. The total soil loss estimate... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil conservation; Water erosion; Modeling.. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542019000100225 |
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Lense,Guilherme Henrique Expedito; Moreira,Rodrigo Santos; Bócoli,Fernanda Almeida; Avanzi,Junior Cesar; Teodoro,Alexandre Elias de Miranda; Mincato,Ronaldo Luiz. |
ABSTRACT Among the parameters considered by the Revised Universal Soil Loss Equation (RUSLE), the soil cover and management factor (C) is the main human influenced factor affecting the estimation of water erosion, and one of the most sensitive to spatiotemporal variations. Consequently, this study aims to compare the efficiency of C factor estimates obtained from the literature for each land-use class (Clit) and by calculation based on the Normalized Difference Vegetation Index (CNDVI). We test the hypothesis that soil loss estimates based on CNDVI approach are more accurate than those based on Clit. Water erosion was estimated based on soil morphological, physical, and chemical properties in addition to climate, relief, management practices, and land use... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil conservation; Water erosion; Modeling; RUSLE. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214 |
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