Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach

Detalhes bibliográficos
Autor(a) principal: Dafonte,Jorge Dafonte
Data de Publicação: 2010
Outros Autores: Guitián,Montserrat Ulloa, Paz-Ferreiro,Jorge, Siqueira,Glécio Machado, Vázquez,Eva Vidal
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500018
Resumo: Nutrient maps based on intensive soil sampling are useful to develop site-specific management practices. Geostatistical methods have been widely used to determine the spatial correlation and the range of spatial dependence at different sampling scales. If spatial dependence is detected, the modelled semivariograms can then be used to map the interested variable by kriging, an interpolation method that produces unbiased estimates with minimal estimation variance. The objectives of this paper were to examine and to map the spatial distribution of the micronutrients Cu, Zn, Fe and Mn on an agricultural area in Galicia, Spain, under European Atlantic climatic conditions. The ordinary kriging was first used to determine the values for the non-sampled locations, then the indicator approach was used to transform the micronutrient content values into binary values having the mean values of each nutrient as the threshold content. All four elements analyzed showed spatial dependence using the indicator semivariograms. The strength of spatial dependence was assessed using the values of nugget effect and range from the semivariogram, the fitted range values decreased in the order Mn >Fe >Zn >Cu. The spatial dependence of the combination of two or more of the studied micronutrients was also examined using indicator semivariograms. In opposition to spatial analysis of individual microelements, indicator semivariograms obtained for the binary coding of the variables showed a great nugget effect value or a low proportion of sill. The maps for each nutrient obtained using indicator kriging showed some similarity in the spatial distribution, suggesting the delimitation of uniform management areas.
id IAC-1_0a451172d166e125c82b3f08091df962
oai_identifier_str oai:scielo:S0006-87052010000500018
network_acronym_str IAC-1
network_name_str Bragantia
repository_id_str
spelling Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approachsoil managementgeostatisticsspatial variabilitysoil chemistryNutrient maps based on intensive soil sampling are useful to develop site-specific management practices. Geostatistical methods have been widely used to determine the spatial correlation and the range of spatial dependence at different sampling scales. If spatial dependence is detected, the modelled semivariograms can then be used to map the interested variable by kriging, an interpolation method that produces unbiased estimates with minimal estimation variance. The objectives of this paper were to examine and to map the spatial distribution of the micronutrients Cu, Zn, Fe and Mn on an agricultural area in Galicia, Spain, under European Atlantic climatic conditions. The ordinary kriging was first used to determine the values for the non-sampled locations, then the indicator approach was used to transform the micronutrient content values into binary values having the mean values of each nutrient as the threshold content. All four elements analyzed showed spatial dependence using the indicator semivariograms. The strength of spatial dependence was assessed using the values of nugget effect and range from the semivariogram, the fitted range values decreased in the order Mn >Fe >Zn >Cu. The spatial dependence of the combination of two or more of the studied micronutrients was also examined using indicator semivariograms. In opposition to spatial analysis of individual microelements, indicator semivariograms obtained for the binary coding of the variables showed a great nugget effect value or a low proportion of sill. The maps for each nutrient obtained using indicator kriging showed some similarity in the spatial distribution, suggesting the delimitation of uniform management areas.Instituto Agronômico de Campinas2010-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500018Bragantia v.69 suppl.0 2010reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/S0006-87052010000500018info:eu-repo/semantics/openAccessDafonte,Jorge DafonteGuitián,Montserrat UlloaPaz-Ferreiro,JorgeSiqueira,Glécio MachadoVázquez,Eva Vidaleng2011-02-14T00:00:00Zoai:scielo:S0006-87052010000500018Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2011-02-14T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
title Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
spellingShingle Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
Dafonte,Jorge Dafonte
soil management
geostatistics
spatial variability
soil chemistry
title_short Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
title_full Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
title_fullStr Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
title_full_unstemmed Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
title_sort Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
author Dafonte,Jorge Dafonte
author_facet Dafonte,Jorge Dafonte
Guitián,Montserrat Ulloa
Paz-Ferreiro,Jorge
Siqueira,Glécio Machado
Vázquez,Eva Vidal
author_role author
author2 Guitián,Montserrat Ulloa
Paz-Ferreiro,Jorge
Siqueira,Glécio Machado
Vázquez,Eva Vidal
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Dafonte,Jorge Dafonte
Guitián,Montserrat Ulloa
Paz-Ferreiro,Jorge
Siqueira,Glécio Machado
Vázquez,Eva Vidal
dc.subject.por.fl_str_mv soil management
geostatistics
spatial variability
soil chemistry
topic soil management
geostatistics
spatial variability
soil chemistry
description Nutrient maps based on intensive soil sampling are useful to develop site-specific management practices. Geostatistical methods have been widely used to determine the spatial correlation and the range of spatial dependence at different sampling scales. If spatial dependence is detected, the modelled semivariograms can then be used to map the interested variable by kriging, an interpolation method that produces unbiased estimates with minimal estimation variance. The objectives of this paper were to examine and to map the spatial distribution of the micronutrients Cu, Zn, Fe and Mn on an agricultural area in Galicia, Spain, under European Atlantic climatic conditions. The ordinary kriging was first used to determine the values for the non-sampled locations, then the indicator approach was used to transform the micronutrient content values into binary values having the mean values of each nutrient as the threshold content. All four elements analyzed showed spatial dependence using the indicator semivariograms. The strength of spatial dependence was assessed using the values of nugget effect and range from the semivariogram, the fitted range values decreased in the order Mn >Fe >Zn >Cu. The spatial dependence of the combination of two or more of the studied micronutrients was also examined using indicator semivariograms. In opposition to spatial analysis of individual microelements, indicator semivariograms obtained for the binary coding of the variables showed a great nugget effect value or a low proportion of sill. The maps for each nutrient obtained using indicator kriging showed some similarity in the spatial distribution, suggesting the delimitation of uniform management areas.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
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=S0006-87052010000500018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052010000500018
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0006-87052010000500018
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 Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.69 suppl.0 2010
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
_version_ 1754193301524709376