Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
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...
| Main Authors: | , , , , , , , |
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| Format: | Capítulo de libro |
| Language: | Inglés |
| Published: |
Springer
2023
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1855485328697065472 |
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| author | Schulz, Guillermo Rodriguez, Dario Martin Angelini, Marcos Esteban Moretti, Lucas Martin Olmedo, Guillermo Federico Tenti Vuegen, Leonardo Mauricio Colazo, Juan Cruz Guevara, Mario |
| author2 | Zinck, Joseph Alfred |
| author_browse | Angelini, Marcos Esteban Colazo, Juan Cruz Guevara, Mario Moretti, Lucas Martin Olmedo, Guillermo Federico Rodriguez, Dario Martin Schulz, Guillermo Tenti Vuegen, Leonardo Mauricio Zinck, Joseph Alfred |
| author_facet | Zinck, Joseph Alfred Schulz, Guillermo Rodriguez, Dario Martin Angelini, Marcos Esteban Moretti, Lucas Martin Olmedo, Guillermo Federico Tenti Vuegen, Leonardo Mauricio Colazo, Juan Cruz Guevara, Mario |
| author_sort | Schulz, Guillermo |
| collection | INTA Digital |
| 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. |
| format | Capítulo de libro |
| id | INTA14260 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA142602023-03-17T10:36:27Z Digital soil texture map of Argentina and their relationship to soil - forming factors and processes Schulz, Guillermo Rodriguez, Dario Martin Angelini, Marcos Esteban Moretti, Lucas Martin Olmedo, Guillermo Federico Tenti Vuegen, Leonardo Mauricio Colazo, Juan Cruz Guevara, Mario Zinck, Joseph Alfred Metternicht, Graciela del Valle, Héctor Francisco Angelini, Marcos Esteban 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 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 2023-03-17T10:20:25Z 2023-03-17T10:20:25Z 2023-01 info:ar-repo/semantics/parte de libro info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion 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 eng 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 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) application/pdf Springer 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 |
| spellingShingle | 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 Schulz, Guillermo Rodriguez, Dario Martin Angelini, Marcos Esteban Moretti, Lucas Martin Olmedo, Guillermo Federico Tenti Vuegen, Leonardo Mauricio Colazo, Juan Cruz Guevara, Mario 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 |
| 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_short | 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 |
| 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 |
| 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 |
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