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Development of a 10-km resolution global soil profile dataset for crop modeling applications
One major challenge in applying crop simulation models at the regional or global scale is the lack of available global gridded soil profile data. We developed a 10-km resolution global soil profile dataset, at 2 m depth, compatible with DSSAT using SoilGrids1km. Several soil physical and chemical pr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694752/ https://www.ncbi.nlm.nih.gov/pubmed/31481849 http://dx.doi.org/10.1016/j.envsoft.2019.05.012 |
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author | Han, Eunjin Ines, Amor V.M. Koo, Jawoo |
author_facet | Han, Eunjin Ines, Amor V.M. Koo, Jawoo |
author_sort | Han, Eunjin |
collection | PubMed |
description | One major challenge in applying crop simulation models at the regional or global scale is the lack of available global gridded soil profile data. We developed a 10-km resolution global soil profile dataset, at 2 m depth, compatible with DSSAT using SoilGrids1km. Several soil physical and chemical properties required by DSSAT were directly extracted from SoilGrids1km. Pedo-transfer functions were used to derive soil hydraulic properties. Other soil parameters not available from SoilGrids1km were estimated from HarvestChoice HC27 generic soil profiles. The newly developed soil profile dataset was evaluated in different regions of the globe using independent soil databases from other sources. In general, we found that the derived soil properties matched well with data from other soil data sources. An ex-ante assessment for maize intensification in Tanzania is provided to show the potential regional to global uses of the new gridded soil profile dataset. |
format | Online Article Text |
id | pubmed-6694752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66947522019-09-01 Development of a 10-km resolution global soil profile dataset for crop modeling applications Han, Eunjin Ines, Amor V.M. Koo, Jawoo Environ Model Softw Article One major challenge in applying crop simulation models at the regional or global scale is the lack of available global gridded soil profile data. We developed a 10-km resolution global soil profile dataset, at 2 m depth, compatible with DSSAT using SoilGrids1km. Several soil physical and chemical properties required by DSSAT were directly extracted from SoilGrids1km. Pedo-transfer functions were used to derive soil hydraulic properties. Other soil parameters not available from SoilGrids1km were estimated from HarvestChoice HC27 generic soil profiles. The newly developed soil profile dataset was evaluated in different regions of the globe using independent soil databases from other sources. In general, we found that the derived soil properties matched well with data from other soil data sources. An ex-ante assessment for maize intensification in Tanzania is provided to show the potential regional to global uses of the new gridded soil profile dataset. Elsevier Science 2019-09 /pmc/articles/PMC6694752/ /pubmed/31481849 http://dx.doi.org/10.1016/j.envsoft.2019.05.012 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Han, Eunjin Ines, Amor V.M. Koo, Jawoo Development of a 10-km resolution global soil profile dataset for crop modeling applications |
title | Development of a 10-km resolution global soil profile dataset for crop modeling applications |
title_full | Development of a 10-km resolution global soil profile dataset for crop modeling applications |
title_fullStr | Development of a 10-km resolution global soil profile dataset for crop modeling applications |
title_full_unstemmed | Development of a 10-km resolution global soil profile dataset for crop modeling applications |
title_short | Development of a 10-km resolution global soil profile dataset for crop modeling applications |
title_sort | development of a 10-km resolution global soil profile dataset for crop modeling applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694752/ https://www.ncbi.nlm.nih.gov/pubmed/31481849 http://dx.doi.org/10.1016/j.envsoft.2019.05.012 |
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