Assessment of soil loss vulnerability in data-scarce watersheds in southern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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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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 |
status_str |
publishedVersion |
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) |
instacron_str |
UFLA |
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 |
_version_ |
1799874970783842304 |