Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais

Detalhes bibliográficos
Autor(a) principal: Olivetti, Diogo
Data de Publicação: 2015
Outros Autores: Mincato, Ronaldo Luiz, Ayer, Joaquim Ernesto Bernardes, Silva, Marx Leandro Naves, Curi, Nilton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/45806
Resumo: Water erosion is one of the most important soil degradation processes and it can be intensified by land use and vegetal covering changes. Thus, water erosion modeling studies associated to multi temporal analyses of land use are effective in assessing how changes in land cover affects sediment yield. Therefore, considering the modifications in the land use from 1986 to 2011, the aim of this study ranged to estimate water erosion rates and compare them to the soil loss tolerance (SLT) limit in the Latosols (Oxisols) at Ribeirão Caçús sub-basin, in the South of Minas Gerais State, Southeast Brazil, by means of the Revised Universal Soil Loss Equation (RUSLE) in association with the geographic information system (GIS), and geostatistical techniques. So, for each year mapped, soil loss averages were compared by t test at 5% significance to assess the soil degradation stage. The results indicated that, in the period, the soil loss average rate was from 2.4 to 2.6 Mg ha-1 year-1 and the areas with soil loss above the limit of SLT were around 8.0%. The t test demonstrated there was no considerable difference among the soil loss averages (p = 0.18). In consequence, the area of degraded soils did not increase. Thus, the RUSLE model in GIS is a simple and useful tool to estimate the soil loss and help define soil conservation and recovery measures.
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spelling Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas GeraisModelagem espacial e temporal da erosão hídrica em Latossolo vermelho distrófico com uso agropecuário numa sub-bacia hidrográfica do sul de Minas GeraisLand use changesRevised Universal Soil Loss Equation (RUSLE)Soil loss - PredictionSoil - DegradationAlterações no uso do soloPerdas do solo - PrediçãoSolos - DegradaçãoWater erosion is one of the most important soil degradation processes and it can be intensified by land use and vegetal covering changes. Thus, water erosion modeling studies associated to multi temporal analyses of land use are effective in assessing how changes in land cover affects sediment yield. Therefore, considering the modifications in the land use from 1986 to 2011, the aim of this study ranged to estimate water erosion rates and compare them to the soil loss tolerance (SLT) limit in the Latosols (Oxisols) at Ribeirão Caçús sub-basin, in the South of Minas Gerais State, Southeast Brazil, by means of the Revised Universal Soil Loss Equation (RUSLE) in association with the geographic information system (GIS), and geostatistical techniques. So, for each year mapped, soil loss averages were compared by t test at 5% significance to assess the soil degradation stage. The results indicated that, in the period, the soil loss average rate was from 2.4 to 2.6 Mg ha-1 year-1 and the areas with soil loss above the limit of SLT were around 8.0%. The t test demonstrated there was no considerable difference among the soil loss averages (p = 0.18). In consequence, the area of degraded soils did not increase. Thus, the RUSLE model in GIS is a simple and useful tool to estimate the soil loss and help define soil conservation and recovery measures.A erosão hídrica é um dos principais processos de degradação do solo e pode ser intensificada pelas alterações de sua cobertura. Assim, estudos de modelagem da erosão hídrica associados às análises multitemporais do uso do solo são eficazes para avaliar os efeitos de tais alterações na produção de sedimentos. Portanto, diante das alterações no uso solo de 1986 a 2011, objetivou-se, neste trabalho, estimar as taxas de erosão hídrica e comparar com o limite de tolerância de perda de solo (TPS) nos Latossolos da sub-bacia hidrográfica do Ribeirão Caçús, sul do Estado de Minas Gerais, Sudeste do Brasil, a partir da Revised Universal Soil Loss Equation (RUSLE) associada às técnicas de sistemas de informação geográfica (SIG) e de geostatística. Assim, para cada ano mapeado, foram comparadas as médias de perda de solo pelo teste t, com 5% de significância, para avaliar o estágio de degradação do solo. Os resultados apontam que, no período, a taxa média de perda de solo foi de 2,4 para 2,6 Mg ha-1 ano-1 e as áreas com perda de solo acima do limite da TPS foram de cerca de 8,0%. No teste t não houve diferença considerável entre as médias de perda de solo (p = 0,18). Assim, não ocorreu aumento da área de solos degradados. O modelo RUSLE em SIG é uma ferramenta útil e simples para estimar a perda de solo e auxiliar na definição de medidas de conservação e recuperação do solo.Universidade Federal de Lavras2020-12-08T19:46:33Z2020-12-08T19:46:33Z2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfOLIVETTI, D. et al. Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 58-67, jan./fev. 2015. DOI: https://doi.org/10.1590/S1413-70542015000100007.http://repositorio.ufla.br/jspui/handle/1/45806Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessOlivetti, DiogoMincato, Ronaldo LuizAyer, Joaquim Ernesto BernardesSilva, Marx Leandro NavesCuri, Niltoneng2020-12-08T19:47:27Zoai:localhost:1/45806Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-12-08T19:47:27Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
Modelagem espacial e temporal da erosão hídrica em Latossolo vermelho distrófico com uso agropecuário numa sub-bacia hidrográfica do sul de Minas Gerais
title Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
spellingShingle Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
Olivetti, Diogo
Land use changes
Revised Universal Soil Loss Equation (RUSLE)
Soil loss - Prediction
Soil - Degradation
Alterações no uso do solo
Perdas do solo - Predição
Solos - Degradação
title_short Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
title_full Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
title_fullStr Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
title_full_unstemmed Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
title_sort Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais
author Olivetti, Diogo
author_facet Olivetti, Diogo
Mincato, Ronaldo Luiz
Ayer, Joaquim Ernesto Bernardes
Silva, Marx Leandro Naves
Curi, Nilton
author_role author
author2 Mincato, Ronaldo Luiz
Ayer, Joaquim Ernesto Bernardes
Silva, Marx Leandro Naves
Curi, Nilton
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Olivetti, Diogo
Mincato, Ronaldo Luiz
Ayer, Joaquim Ernesto Bernardes
Silva, Marx Leandro Naves
Curi, Nilton
dc.subject.por.fl_str_mv Land use changes
Revised Universal Soil Loss Equation (RUSLE)
Soil loss - Prediction
Soil - Degradation
Alterações no uso do solo
Perdas do solo - Predição
Solos - Degradação
topic Land use changes
Revised Universal Soil Loss Equation (RUSLE)
Soil loss - Prediction
Soil - Degradation
Alterações no uso do solo
Perdas do solo - Predição
Solos - Degradação
description Water erosion is one of the most important soil degradation processes and it can be intensified by land use and vegetal covering changes. Thus, water erosion modeling studies associated to multi temporal analyses of land use are effective in assessing how changes in land cover affects sediment yield. Therefore, considering the modifications in the land use from 1986 to 2011, the aim of this study ranged to estimate water erosion rates and compare them to the soil loss tolerance (SLT) limit in the Latosols (Oxisols) at Ribeirão Caçús sub-basin, in the South of Minas Gerais State, Southeast Brazil, by means of the Revised Universal Soil Loss Equation (RUSLE) in association with the geographic information system (GIS), and geostatistical techniques. So, for each year mapped, soil loss averages were compared by t test at 5% significance to assess the soil degradation stage. The results indicated that, in the period, the soil loss average rate was from 2.4 to 2.6 Mg ha-1 year-1 and the areas with soil loss above the limit of SLT were around 8.0%. The t test demonstrated there was no considerable difference among the soil loss averages (p = 0.18). In consequence, the area of degraded soils did not increase. Thus, the RUSLE model in GIS is a simple and useful tool to estimate the soil loss and help define soil conservation and recovery measures.
publishDate 2015
dc.date.none.fl_str_mv 2015
2020-12-08T19:46:33Z
2020-12-08T19:46:33Z
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 OLIVETTI, D. et al. Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 58-67, jan./fev. 2015. DOI: https://doi.org/10.1590/S1413-70542015000100007.
http://repositorio.ufla.br/jspui/handle/1/45806
identifier_str_mv OLIVETTI, D. et al. Spatial and temporal modeling of water erosion in dystrophic red latosol (Oxisol) used for farming and cattle raising activities in a sub-basin in the south of Minas Gerais. Ciência e Agrotecnologia, Lavras, v. 39, n. 1, p. 58-67, jan./fev. 2015. DOI: https://doi.org/10.1590/S1413-70542015000100007.
url http://repositorio.ufla.br/jspui/handle/1/45806
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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