Soil apparent electrical conductivity and geographically weighted regression for mapping soil

Detalhes bibliográficos
Autor(a) principal: Terrón, J. M.
Data de Publicação: 2011
Outros Autores: Marques da Silva, José Rafael, Moral, F. J., García-Ferrer, Alfonso
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/3140
https://doi.org/10.1007/s11119-011-9218-5
Resumo: To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (ECa), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with ECa in the soil of the study area.
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spelling Soil apparent electrical conductivity and geographically weighted regression for mapping soilSoil apparent electrical conductivityClay soilSoil mappingSite-specific managementTo resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (ECa), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with ECa in the soil of the study area.SPRINGER2012-01-09T15:47:54Z2012-01-092011-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/3140http://hdl.handle.net/10174/3140https://doi.org/10.1007/s11119-011-9218-5engTERRON, J. M.; MARQUES DA SILVA, J. R.; MORAL, F. J. & GARCÍA-FERRER, A. (2011). Soil apparent electrical conductivity and geographically weighted regression for mapping soil. Precision agriculture, 12(5): 750-761.ICAAMjosemaria.terron@juntaextremadura.netjmsilva@uevora.ptfjmoral@unex.esagferrer@uco.es580Terrón, J. M.Marques da Silva, José RafaelMoral, F. J.García-Ferrer, Alfonsoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:40:10Zoai:dspace.uevora.pt:10174/3140Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:58:42.441723Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Soil apparent electrical conductivity and geographically weighted regression for mapping soil
title Soil apparent electrical conductivity and geographically weighted regression for mapping soil
spellingShingle Soil apparent electrical conductivity and geographically weighted regression for mapping soil
Terrón, J. M.
Soil apparent electrical conductivity
Clay soil
Soil mapping
Site-specific management
title_short Soil apparent electrical conductivity and geographically weighted regression for mapping soil
title_full Soil apparent electrical conductivity and geographically weighted regression for mapping soil
title_fullStr Soil apparent electrical conductivity and geographically weighted regression for mapping soil
title_full_unstemmed Soil apparent electrical conductivity and geographically weighted regression for mapping soil
title_sort Soil apparent electrical conductivity and geographically weighted regression for mapping soil
author Terrón, J. M.
author_facet Terrón, J. M.
Marques da Silva, José Rafael
Moral, F. J.
García-Ferrer, Alfonso
author_role author
author2 Marques da Silva, José Rafael
Moral, F. J.
García-Ferrer, Alfonso
author2_role author
author
author
dc.contributor.author.fl_str_mv Terrón, J. M.
Marques da Silva, José Rafael
Moral, F. J.
García-Ferrer, Alfonso
dc.subject.por.fl_str_mv Soil apparent electrical conductivity
Clay soil
Soil mapping
Site-specific management
topic Soil apparent electrical conductivity
Clay soil
Soil mapping
Site-specific management
description To resolve the spatial variation in soil properties intensively is expensive, but such knowledge is essential to manage the soil better and to achieve greater economic and environmental benefits. The objective of this study was to determine whether the soil apparent electrical conductivity (ECa), alone or combined with other variables, is a useful alternative for providing detailed information on the soil in the Extremadura region of Spain. Apparent soil electrical conductivity was measured and geographically weighted regression was used to characterize the spatial variation in soil properties, which in turn can be used for soil management. This study shows that soil cation exchange capacity, calcium content, clay percentage and pH have a relatively strong spatial correlation with ECa in the soil of the study area.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-25T00:00:00Z
2012-01-09T15:47:54Z
2012-01-09
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 http://hdl.handle.net/10174/3140
http://hdl.handle.net/10174/3140
https://doi.org/10.1007/s11119-011-9218-5
url http://hdl.handle.net/10174/3140
https://doi.org/10.1007/s11119-011-9218-5
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv TERRON, J. M.; MARQUES DA SILVA, J. R.; MORAL, F. J. & GARCÍA-FERRER, A. (2011). Soil apparent electrical conductivity and geographically weighted regression for mapping soil. Precision agriculture, 12(5): 750-761.
ICAAM
josemaria.terron@juntaextremadura.net
jmsilva@uevora.pt
fjmoral@unex.es
agferrer@uco.es
580
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv SPRINGER
publisher.none.fl_str_mv SPRINGER
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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