Mapping of soil micronutrients in an european atlantic agricultural landscape using ordinary kriging and indicator approach
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
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. |
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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 |