Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1785106859730927616 |
---|---|
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 We generated soil maps based on digital soil mapping techniques based on more than 4000 observations, including unpublished data from remote areas.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. |
format | Online Article Text |
id | pubmed-10505153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dinamarcadiegoi clsoilmapsanationalsoilgriddeddatabaseofphysicalandhydraulicsoilpropertiesforchile AT galleguillosmauricio clsoilmapsanationalsoilgriddeddatabaseofphysicalandhydraulicsoilpropertiesforchile AT segueloscar clsoilmapsanationalsoilgriddeddatabaseofphysicalandhydraulicsoilpropertiesforchile AT faundezurbinacarlos clsoilmapsanationalsoilgriddeddatabaseofphysicalandhydraulicsoilpropertiesforchile |