Estimating sample size of soil cone index profiles by bootstrapping

Autores
Alesso, Carlos Agustín; Masola, María Josefina; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Measurements of the soil cone index are widely used to assess soil resistanceto root penetration (SR) and to monitor the soil compaction status of agricultural fields. However, soil sampling for SR estimation is a rather challenging task in view of the high spatial and temporal variability of the soil. This study proposed a bootstrapping method to determine the minimum sample size required to estimate the vertical profile of mean soil cone index (CI) values at different levels of precision and confidence. For this purpose, CI data from a Typic Argiudoll under no-tillage before and after chiseling was used. A total of 151 CI profiles were recorded before and after chiseling in a 3,200 m2 (40 × 80 m) no-tillage area at sampling points distributed on a horizontal 5 × 5 m aligned grid and from the top layer to 0.40 m depth by in 0.02 m intervals. A modified bootstrap routine was developed to estimate the sampling distribution of the sample mean and medians of CI values per layer. The minimum sample size to estimate the vertical profile of mean CI values at different levels of precision and confidence was determined from data of thewhole soil profile, including the autocorrelation of CI readings in the vertical direction. Tilling increased the variability of this measurement and thus the sampling efforts to achieve the same level of precision and confidence were different before and after the procedure. The standard errors of sample medians estimated by bootstrapping were higher than those corresponding to sample means. In addition, to achieve the same level of precision and confidence, the estimation of the vertical profile of mean CI values based on sample medians required more observations than based on sample means. This study shows that the viability of the bootstrap approach to determine the implications of soil variability on the sampling efforts required for an accurate estimation of the vertical distribution of resistance in soils under different managements.
Fil: Alesso, Carlos Agustín. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina
Fil: Masola, María Josefina. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Carrizo, Maria Eugenia. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina
Fil: Imhoff, Silvia del Carmen. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Materia
Sampling
Soil Resistance
Bootstrap Procedure
Soil Variability
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/89167
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/89167
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Estimating sample size of soil cone index profiles by bootstrappingAlesso, Carlos AgustínMasola, María JosefinaCarrizo, Maria EugeniaImhoff, Silvia del CarmenSamplingSoil ResistanceBootstrap ProcedureSoil Variabilityhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Measurements of the soil cone index are widely used to assess soil resistanceto root penetration (SR) and to monitor the soil compaction status of agricultural fields. However, soil sampling for SR estimation is a rather challenging task in view of the high spatial and temporal variability of the soil. This study proposed a bootstrapping method to determine the minimum sample size required to estimate the vertical profile of mean soil cone index (CI) values at different levels of precision and confidence. For this purpose, CI data from a Typic Argiudoll under no-tillage before and after chiseling was used. A total of 151 CI profiles were recorded before and after chiseling in a 3,200 m2 (40 × 80 m) no-tillage area at sampling points distributed on a horizontal 5 × 5 m aligned grid and from the top layer to 0.40 m depth by in 0.02 m intervals. A modified bootstrap routine was developed to estimate the sampling distribution of the sample mean and medians of CI values per layer. The minimum sample size to estimate the vertical profile of mean CI values at different levels of precision and confidence was determined from data of thewhole soil profile, including the autocorrelation of CI readings in the vertical direction. Tilling increased the variability of this measurement and thus the sampling efforts to achieve the same level of precision and confidence were different before and after the procedure. The standard errors of sample medians estimated by bootstrapping were higher than those corresponding to sample means. In addition, to achieve the same level of precision and confidence, the estimation of the vertical profile of mean CI values based on sample medians required more observations than based on sample means. This study shows that the viability of the bootstrap approach to determine the implications of soil variability on the sampling efforts required for an accurate estimation of the vertical distribution of resistance in soils under different managements.Fil: Alesso, Carlos Agustín. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; ArgentinaFil: Masola, María Josefina. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Carrizo, Maria Eugenia. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; ArgentinaFil: Imhoff, Silvia del Carmen. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaSociedade Brasileira de Ciência do Solo2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/89167Alesso, Carlos Agustín; Masola, María Josefina; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen; Estimating sample size of soil cone index profiles by bootstrapping; Sociedade Brasileira de Ciência do Solo; Revista Brasileira de Ciência do Solo; 41; 11-2017; 1-120100-06831806-9657CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1590/18069657rbcs20160464info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:24Zoai:ri.conicet.gov.ar:11336/89167instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:04:25.072CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimating sample size of soil cone index profiles by bootstrapping
title Estimating sample size of soil cone index profiles by bootstrapping
spellingShingle Estimating sample size of soil cone index profiles by bootstrapping
Alesso, Carlos Agustín
Sampling
Soil Resistance
Bootstrap Procedure
Soil Variability
title_short Estimating sample size of soil cone index profiles by bootstrapping
title_full Estimating sample size of soil cone index profiles by bootstrapping
title_fullStr Estimating sample size of soil cone index profiles by bootstrapping
title_full_unstemmed Estimating sample size of soil cone index profiles by bootstrapping
title_sort Estimating sample size of soil cone index profiles by bootstrapping
dc.creator.none.fl_str_mv Alesso, Carlos Agustín
Masola, María Josefina
Carrizo, Maria Eugenia
Imhoff, Silvia del Carmen
author Alesso, Carlos Agustín
author_facet Alesso, Carlos Agustín
Masola, María Josefina
Carrizo, Maria Eugenia
Imhoff, Silvia del Carmen
author_role author
author2 Masola, María Josefina
Carrizo, Maria Eugenia
Imhoff, Silvia del Carmen
author2_role author
author
author
dc.subject.none.fl_str_mv Sampling
Soil Resistance
Bootstrap Procedure
Soil Variability
topic Sampling
Soil Resistance
Bootstrap Procedure
Soil Variability
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Measurements of the soil cone index are widely used to assess soil resistanceto root penetration (SR) and to monitor the soil compaction status of agricultural fields. However, soil sampling for SR estimation is a rather challenging task in view of the high spatial and temporal variability of the soil. This study proposed a bootstrapping method to determine the minimum sample size required to estimate the vertical profile of mean soil cone index (CI) values at different levels of precision and confidence. For this purpose, CI data from a Typic Argiudoll under no-tillage before and after chiseling was used. A total of 151 CI profiles were recorded before and after chiseling in a 3,200 m2 (40 × 80 m) no-tillage area at sampling points distributed on a horizontal 5 × 5 m aligned grid and from the top layer to 0.40 m depth by in 0.02 m intervals. A modified bootstrap routine was developed to estimate the sampling distribution of the sample mean and medians of CI values per layer. The minimum sample size to estimate the vertical profile of mean CI values at different levels of precision and confidence was determined from data of thewhole soil profile, including the autocorrelation of CI readings in the vertical direction. Tilling increased the variability of this measurement and thus the sampling efforts to achieve the same level of precision and confidence were different before and after the procedure. The standard errors of sample medians estimated by bootstrapping were higher than those corresponding to sample means. In addition, to achieve the same level of precision and confidence, the estimation of the vertical profile of mean CI values based on sample medians required more observations than based on sample means. This study shows that the viability of the bootstrap approach to determine the implications of soil variability on the sampling efforts required for an accurate estimation of the vertical distribution of resistance in soils under different managements.
Fil: Alesso, Carlos Agustín. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina
Fil: Masola, María Josefina. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
Fil: Carrizo, Maria Eugenia. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina
Fil: Imhoff, Silvia del Carmen. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
description Measurements of the soil cone index are widely used to assess soil resistanceto root penetration (SR) and to monitor the soil compaction status of agricultural fields. However, soil sampling for SR estimation is a rather challenging task in view of the high spatial and temporal variability of the soil. This study proposed a bootstrapping method to determine the minimum sample size required to estimate the vertical profile of mean soil cone index (CI) values at different levels of precision and confidence. For this purpose, CI data from a Typic Argiudoll under no-tillage before and after chiseling was used. A total of 151 CI profiles were recorded before and after chiseling in a 3,200 m2 (40 × 80 m) no-tillage area at sampling points distributed on a horizontal 5 × 5 m aligned grid and from the top layer to 0.40 m depth by in 0.02 m intervals. A modified bootstrap routine was developed to estimate the sampling distribution of the sample mean and medians of CI values per layer. The minimum sample size to estimate the vertical profile of mean CI values at different levels of precision and confidence was determined from data of thewhole soil profile, including the autocorrelation of CI readings in the vertical direction. Tilling increased the variability of this measurement and thus the sampling efforts to achieve the same level of precision and confidence were different before and after the procedure. The standard errors of sample medians estimated by bootstrapping were higher than those corresponding to sample means. In addition, to achieve the same level of precision and confidence, the estimation of the vertical profile of mean CI values based on sample medians required more observations than based on sample means. This study shows that the viability of the bootstrap approach to determine the implications of soil variability on the sampling efforts required for an accurate estimation of the vertical distribution of resistance in soils under different managements.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/89167
Alesso, Carlos Agustín; Masola, María Josefina; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen; Estimating sample size of soil cone index profiles by bootstrapping; Sociedade Brasileira de Ciência do Solo; Revista Brasileira de Ciência do Solo; 41; 11-2017; 1-12
0100-0683
1806-9657
CONICET Digital
CONICET
url http://hdl.handle.net/11336/89167
identifier_str_mv Alesso, Carlos Agustín; Masola, María Josefina; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen; Estimating sample size of soil cone index profiles by bootstrapping; Sociedade Brasileira de Ciência do Solo; Revista Brasileira de Ciência do Solo; 41; 11-2017; 1-12
0100-0683
1806-9657
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1590/18069657rbcs20160464
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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