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Optimizing the Dryland Sheet Erosion equation in South China
Optimisation of models applied in sheet erosion equations could facilitate effective management of sheet erosion in the field, and sustainable agricultural production. To optimise the characterisation of sheet erosion on slope farmland in South China, the present study conducted field simulation rai...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012792/ https://www.ncbi.nlm.nih.gov/pubmed/35428771 http://dx.doi.org/10.1038/s41598-022-09258-x |
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author | Wang, Dongdong Yuan, Zaijian Li, Dingqiang Chen, Yong Xie, Zhenyue Lai, Yanfei |
author_facet | Wang, Dongdong Yuan, Zaijian Li, Dingqiang Chen, Yong Xie, Zhenyue Lai, Yanfei |
author_sort | Wang, Dongdong |
collection | PubMed |
description | Optimisation of models applied in sheet erosion equations could facilitate effective management of sheet erosion in the field, and sustainable agricultural production. To optimise the characterisation of sheet erosion on slope farmland in South China, the present study conducted field simulation rainfall experiments with vegetated and fallow soils. According to the results, sheet erosion rate first increased with an increase in rainfall duration and then stabilised. Exclusive P. vulgaris planting and P. vulgaris in combination with earthworms could reduce sheet erosion by 10–60%, and the combined method could better control sheet erosion. There were significant differences in erosion rate between mild and steep slopes, and light and heavy rain conditions. The influence of rain intensity on sheet erosion was greater than that of slope. Soil organic matter (SOM), rain intensity, and slope can be used to optimise sheet erosion equations of exposed slopes, and SOM and hydraulic parameters can be used to optimise sheet erosion equations in vegetated slopes. The results of the present study could facilitate the reduction of the time and space variability errors in the establishment of sheet erosion models for vegetated slopes. |
format | Online Article Text |
id | pubmed-9012792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90127922022-04-18 Optimizing the Dryland Sheet Erosion equation in South China Wang, Dongdong Yuan, Zaijian Li, Dingqiang Chen, Yong Xie, Zhenyue Lai, Yanfei Sci Rep Article Optimisation of models applied in sheet erosion equations could facilitate effective management of sheet erosion in the field, and sustainable agricultural production. To optimise the characterisation of sheet erosion on slope farmland in South China, the present study conducted field simulation rainfall experiments with vegetated and fallow soils. According to the results, sheet erosion rate first increased with an increase in rainfall duration and then stabilised. Exclusive P. vulgaris planting and P. vulgaris in combination with earthworms could reduce sheet erosion by 10–60%, and the combined method could better control sheet erosion. There were significant differences in erosion rate between mild and steep slopes, and light and heavy rain conditions. The influence of rain intensity on sheet erosion was greater than that of slope. Soil organic matter (SOM), rain intensity, and slope can be used to optimise sheet erosion equations of exposed slopes, and SOM and hydraulic parameters can be used to optimise sheet erosion equations in vegetated slopes. The results of the present study could facilitate the reduction of the time and space variability errors in the establishment of sheet erosion models for vegetated slopes. Nature Publishing Group UK 2022-04-15 /pmc/articles/PMC9012792/ /pubmed/35428771 http://dx.doi.org/10.1038/s41598-022-09258-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 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 | Article Wang, Dongdong Yuan, Zaijian Li, Dingqiang Chen, Yong Xie, Zhenyue Lai, Yanfei Optimizing the Dryland Sheet Erosion equation in South China |
title | Optimizing the Dryland Sheet Erosion equation in South China |
title_full | Optimizing the Dryland Sheet Erosion equation in South China |
title_fullStr | Optimizing the Dryland Sheet Erosion equation in South China |
title_full_unstemmed | Optimizing the Dryland Sheet Erosion equation in South China |
title_short | Optimizing the Dryland Sheet Erosion equation in South China |
title_sort | optimizing the dryland sheet erosion equation in south china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012792/ https://www.ncbi.nlm.nih.gov/pubmed/35428771 http://dx.doi.org/10.1038/s41598-022-09258-x |
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