Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil

Detalhes bibliográficos
Autor(a) principal: Steinmetz,Alice Alonzo
Data de Publicação: 2018
Outros Autores: Cassalho,Felício, Caldeira,Tamara Leitzke, Oliveira,Vinícius Augusto de, Beskow,Samuel, Timm,Luis Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600575
Resumo: ABSTRACT Soil erosion is currently one of the main concerns in agriculture, water resources, soil management and natural hazards studies, mainly due to its economic, environmental and human impacts. This concern is accentuated in developing countries where the hydrological monitoring and proper soil surveys are scarce. Therefore, the use of indirect estimates of soil loss by means of empirical equations stands out. In this context, the present study proposed the assessment of the Revised Universal Soil Loss Equation (RUSLE) with the aid of Geographical Information Systems (GIS) and remote sensing for two agricultural watersheds in southern Rio Grande do Sul - Brazil. Among all RUSLE factors, LS showed the closest patterns to the local when compared to the total annual soil loss, thus being a good indicator t of risk areas. The total annual soil loss varied from 0 to more than 100 t ha-1 yr-1, with the vast majority (about 65% of the total area) classified from slight to moderate rates of soil loss. The results estimated according to RUSLE indicated that over 10% of the study area presented very high to extremely high soil loss rates, thus requiring immediate soil conservation practices. The present study stands out as an important scientific and technical support for practitioners and decision-makers, being probably the first of its nature applied to extreme southern Brazil.
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spelling Assessment of soil loss vulnerability in data-scarce watersheds in southern BrazilSoil erosionrevised universal soil loss equationgeographical information systemsremote sensingABSTRACT Soil erosion is currently one of the main concerns in agriculture, water resources, soil management and natural hazards studies, mainly due to its economic, environmental and human impacts. This concern is accentuated in developing countries where the hydrological monitoring and proper soil surveys are scarce. Therefore, the use of indirect estimates of soil loss by means of empirical equations stands out. In this context, the present study proposed the assessment of the Revised Universal Soil Loss Equation (RUSLE) with the aid of Geographical Information Systems (GIS) and remote sensing for two agricultural watersheds in southern Rio Grande do Sul - Brazil. Among all RUSLE factors, LS showed the closest patterns to the local when compared to the total annual soil loss, thus being a good indicator t of risk areas. The total annual soil loss varied from 0 to more than 100 t ha-1 yr-1, with the vast majority (about 65% of the total area) classified from slight to moderate rates of soil loss. The results estimated according to RUSLE indicated that over 10% of the study area presented very high to extremely high soil loss rates, thus requiring immediate soil conservation practices. The present study stands out as an important scientific and technical support for practitioners and decision-makers, being probably the first of its nature applied to extreme southern Brazil.Editora da UFLA2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600575Ciência e Agrotecnologia v.42 n.6 2018reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542018426022818info:eu-repo/semantics/openAccessSteinmetz,Alice AlonzoCassalho,FelícioCaldeira,Tamara LeitzkeOliveira,Vinícius Augusto deBeskow,SamuelTimm,Luis Carloseng2019-01-28T00:00:00Zoai:scielo:S1413-70542018000600575Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:36.512979Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
title Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
spellingShingle Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
Steinmetz,Alice Alonzo
Soil erosion
revised universal soil loss equation
geographical information systems
remote sensing
title_short Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
title_full Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
title_fullStr Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
title_full_unstemmed Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
title_sort Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
author Steinmetz,Alice Alonzo
author_facet Steinmetz,Alice Alonzo
Cassalho,Felício
Caldeira,Tamara Leitzke
Oliveira,Vinícius Augusto de
Beskow,Samuel
Timm,Luis Carlos
author_role author
author2 Cassalho,Felício
Caldeira,Tamara Leitzke
Oliveira,Vinícius Augusto de
Beskow,Samuel
Timm,Luis Carlos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Steinmetz,Alice Alonzo
Cassalho,Felício
Caldeira,Tamara Leitzke
Oliveira,Vinícius Augusto de
Beskow,Samuel
Timm,Luis Carlos
dc.subject.por.fl_str_mv Soil erosion
revised universal soil loss equation
geographical information systems
remote sensing
topic Soil erosion
revised universal soil loss equation
geographical information systems
remote sensing
description ABSTRACT Soil erosion is currently one of the main concerns in agriculture, water resources, soil management and natural hazards studies, mainly due to its economic, environmental and human impacts. This concern is accentuated in developing countries where the hydrological monitoring and proper soil surveys are scarce. Therefore, the use of indirect estimates of soil loss by means of empirical equations stands out. In this context, the present study proposed the assessment of the Revised Universal Soil Loss Equation (RUSLE) with the aid of Geographical Information Systems (GIS) and remote sensing for two agricultural watersheds in southern Rio Grande do Sul - Brazil. Among all RUSLE factors, LS showed the closest patterns to the local when compared to the total annual soil loss, thus being a good indicator t of risk areas. The total annual soil loss varied from 0 to more than 100 t ha-1 yr-1, with the vast majority (about 65% of the total area) classified from slight to moderate rates of soil loss. The results estimated according to RUSLE indicated that over 10% of the study area presented very high to extremely high soil loss rates, thus requiring immediate soil conservation practices. The present study stands out as an important scientific and technical support for practitioners and decision-makers, being probably the first of its nature applied to extreme southern Brazil.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600575
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600575
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542018426022818
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 Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.42 n.6 2018
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
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institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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