Modeling of Soil Losses on a Yellow Argisol Under Planted Forest

Detalhes bibliográficos
Autor(a) principal: Guimarães,Danielle Vieira
Data de Publicação: 2019
Outros Autores: Silva,Marx Leandro Naves, Curi,Nilton, Martins,Ricardo Previdente, Melo Neto,José de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100109
Resumo: ABSTRACT Erosion prediction models are a useful tool for soil use planning and soil conservation. This study aimed to apply the Universal Soil Loss Equation (USLE) in an experimental sub-basin located in the municipality of Teixeira de Freitas, in the southern end of the state of Bahia, Brazil. The following variables were calculated: rainfall erosivity factor, using the precipitation data; soil erodibility factor, by the correlation between erosivity and soil losses obtained from a standard plot installed in the field; topographic factor; vegetation cover and management factor; and conservation practices factor. The product of these factors corresponded to the soil losses in the sub-basin. Data from erosion plots were used to validate the model. The USLE predicted higher soil losses than that observed in the plots, and the eucalyptus proved to be efficient at reducing soil losses by erosion.
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spelling Modeling of Soil Losses on a Yellow Argisol Under Planted Forestwater erosionUSLEGISeucalyptusABSTRACT Erosion prediction models are a useful tool for soil use planning and soil conservation. This study aimed to apply the Universal Soil Loss Equation (USLE) in an experimental sub-basin located in the municipality of Teixeira de Freitas, in the southern end of the state of Bahia, Brazil. The following variables were calculated: rainfall erosivity factor, using the precipitation data; soil erodibility factor, by the correlation between erosivity and soil losses obtained from a standard plot installed in the field; topographic factor; vegetation cover and management factor; and conservation practices factor. The product of these factors corresponded to the soil losses in the sub-basin. Data from erosion plots were used to validate the model. The USLE predicted higher soil losses than that observed in the plots, and the eucalyptus proved to be efficient at reducing soil losses by erosion.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100109Floresta e Ambiente v.26 n.1 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.029216info:eu-repo/semantics/openAccessGuimarães,Danielle VieiraSilva,Marx Leandro NavesCuri,NiltonMartins,Ricardo PrevidenteMelo Neto,José de Oliveiraeng2018-12-05T00:00:00Zoai:scielo:S2179-80872019000100109Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2018-12-05T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
title Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
spellingShingle Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
Guimarães,Danielle Vieira
water erosion
USLE
GIS
eucalyptus
title_short Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
title_full Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
title_fullStr Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
title_full_unstemmed Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
title_sort Modeling of Soil Losses on a Yellow Argisol Under Planted Forest
author Guimarães,Danielle Vieira
author_facet Guimarães,Danielle Vieira
Silva,Marx Leandro Naves
Curi,Nilton
Martins,Ricardo Previdente
Melo Neto,José de Oliveira
author_role author
author2 Silva,Marx Leandro Naves
Curi,Nilton
Martins,Ricardo Previdente
Melo Neto,José de Oliveira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Guimarães,Danielle Vieira
Silva,Marx Leandro Naves
Curi,Nilton
Martins,Ricardo Previdente
Melo Neto,José de Oliveira
dc.subject.por.fl_str_mv water erosion
USLE
GIS
eucalyptus
topic water erosion
USLE
GIS
eucalyptus
description ABSTRACT Erosion prediction models are a useful tool for soil use planning and soil conservation. This study aimed to apply the Universal Soil Loss Equation (USLE) in an experimental sub-basin located in the municipality of Teixeira de Freitas, in the southern end of the state of Bahia, Brazil. The following variables were calculated: rainfall erosivity factor, using the precipitation data; soil erodibility factor, by the correlation between erosivity and soil losses obtained from a standard plot installed in the field; topographic factor; vegetation cover and management factor; and conservation practices factor. The product of these factors corresponded to the soil losses in the sub-basin. Data from erosion plots were used to validate the model. The USLE predicted higher soil losses than that observed in the plots, and the eucalyptus proved to be efficient at reducing soil losses by erosion.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100109
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100109
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.029216
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.26 n.1 2019
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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