Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios

Detalhes bibliográficos
Autor(a) principal: WEILER,ELENICE B.
Data de Publicação: 2021
Outros Autores: TAMIOSSO,MARÍLIA F., CRUZ,JUSSARA C., REICHERT,JOSÉ MIGUEL, SCHORR,LUIS PAULO B., MANTOVANELLI,BRUNO C., SANTOS,FERNANDA D. DOS, FANTINEL,ROBERTA A., BAUMHARDT,EDNER
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000701505
Resumo: Abstract This article presents the identification of soil use potential for different agropastoral and forest scenarios, using an indicator for erosion susceptibility from the spatialized Universal Soil Loss Equation (USLE). All USLE factors were spatialized using ArcGis 10.5 software, for the case study of the Cachoeira Cinco Veados Watershed-RS. To determine the R factor, we used the Cassol et al. 2007 equation and a 33-year series of rain data from six climatic stations. For the K factor, published values for the soil classes: Entisol, Ultisol, Oxisol, Molisols were used. From the DEM, the LS factor was obtained, considering six slope classes (0-3, 3-8, 8-20, 20-45, 45-75, >75%). In addition to the actual land use situation in the watershed, nine scenarios were proposed for the C factor. The value of 0.5 was used for the evaluation of conservation practices (P factor). Considering scenarios of current use situation along with the nine other scenarios, the results showed that, by identifying the most susceptible areas in each scenario, it is possible to construct an indicator map of soil compatibilities for each use, considering sustainable limits of soil losses. Therefore, this resulting map has potential use as instrument for land use planning and zoning studies.
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spelling Integrated Environmental Management and Planning based on Soil Erosion Susceptibility ScenariosEnvironmental PlanningModelingUSLEWater ErosionAbstract This article presents the identification of soil use potential for different agropastoral and forest scenarios, using an indicator for erosion susceptibility from the spatialized Universal Soil Loss Equation (USLE). All USLE factors were spatialized using ArcGis 10.5 software, for the case study of the Cachoeira Cinco Veados Watershed-RS. To determine the R factor, we used the Cassol et al. 2007 equation and a 33-year series of rain data from six climatic stations. For the K factor, published values for the soil classes: Entisol, Ultisol, Oxisol, Molisols were used. From the DEM, the LS factor was obtained, considering six slope classes (0-3, 3-8, 8-20, 20-45, 45-75, >75%). In addition to the actual land use situation in the watershed, nine scenarios were proposed for the C factor. The value of 0.5 was used for the evaluation of conservation practices (P factor). Considering scenarios of current use situation along with the nine other scenarios, the results showed that, by identifying the most susceptible areas in each scenario, it is possible to construct an indicator map of soil compatibilities for each use, considering sustainable limits of soil losses. Therefore, this resulting map has potential use as instrument for land use planning and zoning studies.Academia Brasileira de Ciências2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000701505Anais da Academia Brasileira de Ciências v.93 n.4 2021reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202120191120info:eu-repo/semantics/openAccessWEILER,ELENICE B.TAMIOSSO,MARÍLIA F.CRUZ,JUSSARA C.REICHERT,JOSÉ MIGUELSCHORR,LUIS PAULO B.MANTOVANELLI,BRUNO C.SANTOS,FERNANDA D. DOSFANTINEL,ROBERTA A.BAUMHARDT,EDNEReng2021-10-05T00:00:00Zoai:scielo:S0001-37652021000701505Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2021-10-05T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
title Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
spellingShingle Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
WEILER,ELENICE B.
Environmental Planning
Modeling
USLE
Water Erosion
title_short Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
title_full Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
title_fullStr Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
title_full_unstemmed Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
title_sort Integrated Environmental Management and Planning based on Soil Erosion Susceptibility Scenarios
author WEILER,ELENICE B.
author_facet WEILER,ELENICE B.
TAMIOSSO,MARÍLIA F.
CRUZ,JUSSARA C.
REICHERT,JOSÉ MIGUEL
SCHORR,LUIS PAULO B.
MANTOVANELLI,BRUNO C.
SANTOS,FERNANDA D. DOS
FANTINEL,ROBERTA A.
BAUMHARDT,EDNER
author_role author
author2 TAMIOSSO,MARÍLIA F.
CRUZ,JUSSARA C.
REICHERT,JOSÉ MIGUEL
SCHORR,LUIS PAULO B.
MANTOVANELLI,BRUNO C.
SANTOS,FERNANDA D. DOS
FANTINEL,ROBERTA A.
BAUMHARDT,EDNER
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv WEILER,ELENICE B.
TAMIOSSO,MARÍLIA F.
CRUZ,JUSSARA C.
REICHERT,JOSÉ MIGUEL
SCHORR,LUIS PAULO B.
MANTOVANELLI,BRUNO C.
SANTOS,FERNANDA D. DOS
FANTINEL,ROBERTA A.
BAUMHARDT,EDNER
dc.subject.por.fl_str_mv Environmental Planning
Modeling
USLE
Water Erosion
topic Environmental Planning
Modeling
USLE
Water Erosion
description Abstract This article presents the identification of soil use potential for different agropastoral and forest scenarios, using an indicator for erosion susceptibility from the spatialized Universal Soil Loss Equation (USLE). All USLE factors were spatialized using ArcGis 10.5 software, for the case study of the Cachoeira Cinco Veados Watershed-RS. To determine the R factor, we used the Cassol et al. 2007 equation and a 33-year series of rain data from six climatic stations. For the K factor, published values for the soil classes: Entisol, Ultisol, Oxisol, Molisols were used. From the DEM, the LS factor was obtained, considering six slope classes (0-3, 3-8, 8-20, 20-45, 45-75, >75%). In addition to the actual land use situation in the watershed, nine scenarios were proposed for the C factor. The value of 0.5 was used for the evaluation of conservation practices (P factor). Considering scenarios of current use situation along with the nine other scenarios, the results showed that, by identifying the most susceptible areas in each scenario, it is possible to construct an indicator map of soil compatibilities for each use, considering sustainable limits of soil losses. Therefore, this resulting map has potential use as instrument for land use planning and zoning studies.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0001-37652021000701505
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202120191120
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.93 n.4 2021
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
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institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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