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GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion
Healthy soil is the foundation underpinning global agriculture and food security. Soil erosion is currently the most serious threat to soil health, leading to yield decline, ecosystem degradation and economic impacts. Here, we provide high-resolution (ca. 100 × 100 m) global estimates of soil displa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279367/ https://www.ncbi.nlm.nih.gov/pubmed/35831371 http://dx.doi.org/10.1038/s41597-022-01489-x |
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author | Borrelli, Pasquale Ballabio, Cristiano Yang, Jae E. Robinson, David A. Panagos, Panos |
author_facet | Borrelli, Pasquale Ballabio, Cristiano Yang, Jae E. Robinson, David A. Panagos, Panos |
author_sort | Borrelli, Pasquale |
collection | PubMed |
description | Healthy soil is the foundation underpinning global agriculture and food security. Soil erosion is currently the most serious threat to soil health, leading to yield decline, ecosystem degradation and economic impacts. Here, we provide high-resolution (ca. 100 × 100 m) global estimates of soil displacement by water erosion obtained using the Revised-Universal-Soil-Loss-Equation-based Global Soil Erosion Modelling (GloSEM) platform under present (2019) and future (2070) climate scenarios (i.e. Shared Socioeconomic Pathway [SSP]1–Representative Concentration Pathway [RCP]2.6, SSP2–RCP4.5 and SSP5–RCP8.5). GloSEM is the first global modelling platform to take into account regional farming systems, the mitigation effects of conservation agriculture (CA), and climate change projections. We provide a set of data, maps and descriptive statistics to support researchers and decision-makers in exploring the extent and geography of soil erosion, identifying probable hotspots, and exploring (with stakeholders) appropriate actions for mitigating impacts. In this regard, we have also provided an Excel spreadsheet that can provide useful insights into the potential mitigating effects of present and future alternative CA scenarios at the country level. |
format | Online Article Text |
id | pubmed-9279367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92793672022-07-15 GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion Borrelli, Pasquale Ballabio, Cristiano Yang, Jae E. Robinson, David A. Panagos, Panos Sci Data Data Descriptor Healthy soil is the foundation underpinning global agriculture and food security. Soil erosion is currently the most serious threat to soil health, leading to yield decline, ecosystem degradation and economic impacts. Here, we provide high-resolution (ca. 100 × 100 m) global estimates of soil displacement by water erosion obtained using the Revised-Universal-Soil-Loss-Equation-based Global Soil Erosion Modelling (GloSEM) platform under present (2019) and future (2070) climate scenarios (i.e. Shared Socioeconomic Pathway [SSP]1–Representative Concentration Pathway [RCP]2.6, SSP2–RCP4.5 and SSP5–RCP8.5). GloSEM is the first global modelling platform to take into account regional farming systems, the mitigation effects of conservation agriculture (CA), and climate change projections. We provide a set of data, maps and descriptive statistics to support researchers and decision-makers in exploring the extent and geography of soil erosion, identifying probable hotspots, and exploring (with stakeholders) appropriate actions for mitigating impacts. In this regard, we have also provided an Excel spreadsheet that can provide useful insights into the potential mitigating effects of present and future alternative CA scenarios at the country level. Nature Publishing Group UK 2022-07-13 /pmc/articles/PMC9279367/ /pubmed/35831371 http://dx.doi.org/10.1038/s41597-022-01489-x Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Borrelli, Pasquale Ballabio, Cristiano Yang, Jae E. Robinson, David A. Panagos, Panos GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion |
title | GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion |
title_full | GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion |
title_fullStr | GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion |
title_full_unstemmed | GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion |
title_short | GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion |
title_sort | glosem: high-resolution global estimates of present and future soil displacement in croplands by water erosion |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279367/ https://www.ncbi.nlm.nih.gov/pubmed/35831371 http://dx.doi.org/10.1038/s41597-022-01489-x |
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