Digital soil texture map of Argentina and their relationship to soil - forming factors and processes

Autores
Schulz, Guillermo; Rodriguez, Dario Martin; Angelini, Marcos Esteban; Moretti, Lucas Martin; Olmedo, Guillermo Federico; Tenti Vuegen, Leonardo Mauricio; Colazo, Juan Cruz; Guevara, Mario
Año de publicación
2023
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
Soil texture is determined by the parent material of the soil and the resulting pedogenetic processes. Because the spatial distribution of soil texture governs several soil physical and ofsoil profile database generate textural soil class map for the same soil dpths; and describe the distribution of soil texture in relation to different landscape units. We used 4663 soil texture observations and 64 environmental covariates to represent the soil forming factors (e.g., remote sensing data, climate data of geomorphology map). We modelled clay, silt, and sand at 0-15, 15-30, 30-60 and 60-100 cm, fraction. and empirical relationship with environmental covariates using Random Forest to predict their spatial distribution. Finally we performance an analysis of uncertainty through repeated cross – validation. We observed model efficiency coefficient (MEC) value between 0.452 and 0.557, with and RMSE between 8.77% and 11.21% for the clay fraction. The MEC for the silt fraction ranged from 0.561 to 0.638 with and RMSE of 10.50% to 12.01% for sand fraction the MEC ranged from 0.587 to 0.640 with RMSE values between 16.19% and 16.76%. The general patterns of uncertainty are consistent with areas of limited data. Our resulys increased the quality, quantity and accessibility of information on soil texture in Argentina by providing new insights into both the distribution of parent materials and the intensity of pedogenetic processes in each region.
Fil: Schulz, Guillermo A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Rodriguez, Darío M. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Angelini, Marcos Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Food and Agriculture Organization on the UN Global soil Partnership; Italia. Universidad Nacional de Lujan. Departamento de Ciencias Básicas; Argentina
Fil: Moretti, Lucas M. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentina
Fil: Olmedo, Guillermo Federico. Food and Agriculture Organization on the UN Global soil Partnership; Italia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: Tenti Vuegen, Leonardo Mauricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Guevara, Mario. Universidad Nacional Autónoma de México. Campus Juriquilla. Centro de Geociencias; México
Fuente
Geopedology. An Integration of Geomorphology and Pedology for Soil and Landscape Studies / Editors: Joseph Alfred Zinck, Graciela Metternicht, Héctor Francisco del Valle, Marcos Angelini. Springer, 2023. Chapter 14. p. 263-281
Materia
Soil Maps
Clay
Silt
Sand
Soil Texture
Mapa Edafológico
Arcillas
Limo
Arena
Textura del Suelo
Digital Soil Map
Soil Layers
Mapa Digital de Suelos
Capas del Suelo
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/14260
Acceder
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oai_identifier_str oai:localhost:20.500.12123/14260
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Digital soil texture map of Argentina and their relationship to soil - forming factors and processesSchulz, GuillermoRodriguez, Dario MartinAngelini, Marcos EstebanMoretti, Lucas MartinOlmedo, Guillermo FedericoTenti Vuegen, Leonardo MauricioColazo, Juan CruzGuevara, MarioSoil MapsClaySiltSandSoil TextureMapa EdafológicoArcillasLimoArenaTextura del SueloDigital Soil MapSoil LayersMapa Digital de SuelosCapas del SueloSoil texture is determined by the parent material of the soil and the resulting pedogenetic processes. Because the spatial distribution of soil texture governs several soil physical and ofsoil profile database generate textural soil class map for the same soil dpths; and describe the distribution of soil texture in relation to different landscape units. We used 4663 soil texture observations and 64 environmental covariates to represent the soil forming factors (e.g., remote sensing data, climate data of geomorphology map). We modelled clay, silt, and sand at 0-15, 15-30, 30-60 and 60-100 cm, fraction. and empirical relationship with environmental covariates using Random Forest to predict their spatial distribution. Finally we performance an analysis of uncertainty through repeated cross – validation. We observed model efficiency coefficient (MEC) value between 0.452 and 0.557, with and RMSE between 8.77% and 11.21% for the clay fraction. The MEC for the silt fraction ranged from 0.561 to 0.638 with and RMSE of 10.50% to 12.01% for sand fraction the MEC ranged from 0.587 to 0.640 with RMSE values between 16.19% and 16.76%. The general patterns of uncertainty are consistent with areas of limited data. Our resulys increased the quality, quantity and accessibility of information on soil texture in Argentina by providing new insights into both the distribution of parent materials and the intensity of pedogenetic processes in each region.Fil: Schulz, Guillermo A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Rodriguez, Darío M. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Angelini, Marcos Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Food and Agriculture Organization on the UN Global soil Partnership; Italia. Universidad Nacional de Lujan. Departamento de Ciencias Básicas; ArgentinaFil: Moretti, Lucas M. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; ArgentinaFil: Olmedo, Guillermo Federico. Food and Agriculture Organization on the UN Global soil Partnership; Italia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; ArgentinaFil: Tenti Vuegen, Leonardo Mauricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; ArgentinaFil: Guevara, Mario. Universidad Nacional Autónoma de México. Campus Juriquilla. Centro de Geociencias; MéxicoSpringerZinck, Joseph AlfredMetternicht, Gracieladel Valle, Héctor FranciscoAngelini, Marcos Esteban2023-03-17T10:20:25Z2023-03-17T10:20:25Z2023-01info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdfhttp://hdl.handle.net/20.500.12123/14260https://link.springer.com/chapter/10.1007/978-3-031-20667-2_14978-3031-20666-5https://doi.org/10.1007/978-3-031-20667-2_14Geopedology. An Integration of Geomorphology and Pedology for Soil and Landscape Studies / Editors: Joseph Alfred Zinck, Graciela Metternicht, Héctor Francisco del Valle, Marcos Angelini. Springer, 2023. Chapter 14. p. 263-281reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/PNSUELO-1134032/AR./Bases conceptuales y nuevas herramientas para la cartografía de suelos.info:eu-repograntAgreement/INTA/2019-RIST-E2-I051-001/2019-RIST-E2-I051-001/AR./Cartografía y evaluación de tierrasinfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:45:55Zoai:localhost:20.500.12123/14260instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:55.886INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
title Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
spellingShingle Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
Schulz, Guillermo
Soil Maps
Clay
Silt
Sand
Soil Texture
Mapa Edafológico
Arcillas
Limo
Arena
Textura del Suelo
Digital Soil Map
Soil Layers
Mapa Digital de Suelos
Capas del Suelo
title_short Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
title_full Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
title_fullStr Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
title_full_unstemmed Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
title_sort Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
dc.creator.none.fl_str_mv Schulz, Guillermo
Rodriguez, Dario Martin
Angelini, Marcos Esteban
Moretti, Lucas Martin
Olmedo, Guillermo Federico
Tenti Vuegen, Leonardo Mauricio
Colazo, Juan Cruz
Guevara, Mario
author Schulz, Guillermo
author_facet Schulz, Guillermo
Rodriguez, Dario Martin
Angelini, Marcos Esteban
Moretti, Lucas Martin
Olmedo, Guillermo Federico
Tenti Vuegen, Leonardo Mauricio
Colazo, Juan Cruz
Guevara, Mario
author_role author
author2 Rodriguez, Dario Martin
Angelini, Marcos Esteban
Moretti, Lucas Martin
Olmedo, Guillermo Federico
Tenti Vuegen, Leonardo Mauricio
Colazo, Juan Cruz
Guevara, Mario
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Zinck, Joseph Alfred
Metternicht, Graciela
del Valle, Héctor Francisco
Angelini, Marcos Esteban
dc.subject.none.fl_str_mv Soil Maps
Clay
Silt
Sand
Soil Texture
Mapa Edafológico
Arcillas
Limo
Arena
Textura del Suelo
Digital Soil Map
Soil Layers
Mapa Digital de Suelos
Capas del Suelo
topic Soil Maps
Clay
Silt
Sand
Soil Texture
Mapa Edafológico
Arcillas
Limo
Arena
Textura del Suelo
Digital Soil Map
Soil Layers
Mapa Digital de Suelos
Capas del Suelo
dc.description.none.fl_txt_mv Soil texture is determined by the parent material of the soil and the resulting pedogenetic processes. Because the spatial distribution of soil texture governs several soil physical and ofsoil profile database generate textural soil class map for the same soil dpths; and describe the distribution of soil texture in relation to different landscape units. We used 4663 soil texture observations and 64 environmental covariates to represent the soil forming factors (e.g., remote sensing data, climate data of geomorphology map). We modelled clay, silt, and sand at 0-15, 15-30, 30-60 and 60-100 cm, fraction. and empirical relationship with environmental covariates using Random Forest to predict their spatial distribution. Finally we performance an analysis of uncertainty through repeated cross – validation. We observed model efficiency coefficient (MEC) value between 0.452 and 0.557, with and RMSE between 8.77% and 11.21% for the clay fraction. The MEC for the silt fraction ranged from 0.561 to 0.638 with and RMSE of 10.50% to 12.01% for sand fraction the MEC ranged from 0.587 to 0.640 with RMSE values between 16.19% and 16.76%. The general patterns of uncertainty are consistent with areas of limited data. Our resulys increased the quality, quantity and accessibility of information on soil texture in Argentina by providing new insights into both the distribution of parent materials and the intensity of pedogenetic processes in each region.
Fil: Schulz, Guillermo A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Rodriguez, Darío M. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Angelini, Marcos Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Food and Agriculture Organization on the UN Global soil Partnership; Italia. Universidad Nacional de Lujan. Departamento de Ciencias Básicas; Argentina
Fil: Moretti, Lucas M. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentina
Fil: Olmedo, Guillermo Federico. Food and Agriculture Organization on the UN Global soil Partnership; Italia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina
Fil: Tenti Vuegen, Leonardo Mauricio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Colazo, Juan Cruz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Guevara, Mario. Universidad Nacional Autónoma de México. Campus Juriquilla. Centro de Geociencias; México
description Soil texture is determined by the parent material of the soil and the resulting pedogenetic processes. Because the spatial distribution of soil texture governs several soil physical and ofsoil profile database generate textural soil class map for the same soil dpths; and describe the distribution of soil texture in relation to different landscape units. We used 4663 soil texture observations and 64 environmental covariates to represent the soil forming factors (e.g., remote sensing data, climate data of geomorphology map). We modelled clay, silt, and sand at 0-15, 15-30, 30-60 and 60-100 cm, fraction. and empirical relationship with environmental covariates using Random Forest to predict their spatial distribution. Finally we performance an analysis of uncertainty through repeated cross – validation. We observed model efficiency coefficient (MEC) value between 0.452 and 0.557, with and RMSE between 8.77% and 11.21% for the clay fraction. The MEC for the silt fraction ranged from 0.561 to 0.638 with and RMSE of 10.50% to 12.01% for sand fraction the MEC ranged from 0.587 to 0.640 with RMSE values between 16.19% and 16.76%. The general patterns of uncertainty are consistent with areas of limited data. Our resulys increased the quality, quantity and accessibility of information on soil texture in Argentina by providing new insights into both the distribution of parent materials and the intensity of pedogenetic processes in each region.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-17T10:20:25Z
2023-03-17T10:20:25Z
2023-01
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/14260
https://link.springer.com/chapter/10.1007/978-3-031-20667-2_14
978-3031-20666-5
https://doi.org/10.1007/978-3-031-20667-2_14
url http://hdl.handle.net/20.500.12123/14260
https://link.springer.com/chapter/10.1007/978-3-031-20667-2_14
https://doi.org/10.1007/978-3-031-20667-2_14
identifier_str_mv 978-3031-20666-5
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/PNSUELO-1134032/AR./Bases conceptuales y nuevas herramientas para la cartografía de suelos.
info:eu-repograntAgreement/INTA/2019-RIST-E2-I051-001/2019-RIST-E2-I051-001/AR./Cartografía y evaluación de tierras
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Geopedology. An Integration of Geomorphology and Pedology for Soil and Landscape Studies / Editors: Joseph Alfred Zinck, Graciela Metternicht, Héctor Francisco del Valle, Marcos Angelini. Springer, 2023. Chapter 14. p. 263-281
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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