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CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile

Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We introduced a gridded database of soil physical properties and hydraulic parameters at 100 meters spatial resolution. It covers the con...

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Autores principales: Dinamarca, Diego I., Galleguillos, Mauricio, Seguel, Oscar, Faúndez Urbina, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505153/
https://www.ncbi.nlm.nih.gov/pubmed/37717016
http://dx.doi.org/10.1038/s41597-023-02536-x
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author Dinamarca, Diego I.
Galleguillos, Mauricio
Seguel, Oscar
Faúndez Urbina, Carlos
author_facet Dinamarca, Diego I.
Galleguillos, Mauricio
Seguel, Oscar
Faúndez Urbina, Carlos
author_sort Dinamarca, Diego I.
collection PubMed
description Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We introduced a gridded database of soil physical properties and hydraulic parameters at 100 meters spatial resolution. It covers the continental area of Chile and binational basins shared with Argentina for six standardized depths following the specifications of the GlobalSoilMap project. We generated soil maps based on digital soil mapping techniques based on more than 4000 observations, including unpublished data from remote areas. These maps were used as input for the pedotransfer function Rosetta V3 to obtain predictions of soil hydraulic properties, such as field capacity, permanent wilting point, total available water capacity, and other parameters of the water retention curve. The trained models outperformed several other DSM studies applied at the national and regional scale for soil physical properties (nRMSE ranging from 6.93% to 15.7%) and delivered acceptable predictions (nRMSE ranging from 10.4% to 15.6%) for soil hydraulic properties, making them suitable for countless environmental studies.
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spelling pubmed-105051532023-09-18 CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile Dinamarca, Diego I. Galleguillos, Mauricio Seguel, Oscar Faúndez Urbina, Carlos Sci Data Data Descriptor Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We introduced a gridded database of soil physical properties and hydraulic parameters at 100 meters spatial resolution. It covers the continental area of Chile and binational basins shared with Argentina for six standardized depths following the specifications of the GlobalSoilMap project. We generated soil maps based on digital soil mapping techniques based on more than 4000 observations, including unpublished data from remote areas. These maps were used as input for the pedotransfer function Rosetta V3 to obtain predictions of soil hydraulic properties, such as field capacity, permanent wilting point, total available water capacity, and other parameters of the water retention curve. The trained models outperformed several other DSM studies applied at the national and regional scale for soil physical properties (nRMSE ranging from 6.93% to 15.7%) and delivered acceptable predictions (nRMSE ranging from 10.4% to 15.6%) for soil hydraulic properties, making them suitable for countless environmental studies. Nature Publishing Group UK 2023-09-16 /pmc/articles/PMC10505153/ /pubmed/37717016 http://dx.doi.org/10.1038/s41597-023-02536-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Dinamarca, Diego I.
Galleguillos, Mauricio
Seguel, Oscar
Faúndez Urbina, Carlos
CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile
title CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile
title_full CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile
title_fullStr CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile
title_full_unstemmed CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile
title_short CLSoilMaps: A national soil gridded database of physical and hydraulic soil properties for Chile
title_sort clsoilmaps: a national soil gridded database of physical and hydraulic soil properties for chile
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505153/
https://www.ncbi.nlm.nih.gov/pubmed/37717016
http://dx.doi.org/10.1038/s41597-023-02536-x
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