Time Series of Soil Erosion Dataset in Water Erosion Area of China in Five-year Increments (2000-2015)
LI Jialei1,2SUN Ranhao*1,2XIONG Muqi3CHEN Liding1,2
1 State Key Laboratory of Urban and regional Ecology，Research Center for Eco-Environmental Sciences，Chinese Academy of Sciences，Beijing 100085，China2 University of Chinese Academy of Sciences，Beijing 100049，China3 Institute of Geographic Sciences and Natural Resources Research，Beijing 100101，China
DOI:10.3974/geodb.2021.05.03.V1
Published:May 2021
Visitors：13400 Data Files Downloaded：647
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Key Words：
soil erosion,USLE model,rainfall erosive,soil conservation,Five-year Increments
Abstract：
Time series of soil erosion dataset in water erosion area of China in five-year increments (2000-2015) was developed using the USLE (Universal Soil Loss Equation) model, integrated with calibrated rainfall erosion factor (R factor) based on climate zones and the cover-management factor (C factor) based on land cover types and agricultural crops. The dataset includes soil erosion value (t hm-2 a-1) of China in 1 km grid in 2000, 2005, 2010 and 2015, and R and C factors data. The dataset is archived in .tif data format, and consists of 12 data files with data size of 1.91 GB (compressed to one single file with 95.9 MB). The analysis paper was published at Acta Ecologica Sinica, Vol.40, No.10, 2020.Browse
Foundation Item：
Ministry of Science and Technology of P. R. China (2017YFA0604704)
Data Citation：
LI Jialei, SUN Ranhao*, XIONG Muqi, CHEN Liding. Time Series of Soil Erosion Dataset in Water Erosion Area of China in Five-year Increments (2000-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.05.03.V1.
LI Jialei, SUN Ranhao, XIONG Muqi, et. Methodology of time series of soil erosion dataset in water erosion area of China in five-year increments (2000-2015) [J]. Journal of Global Change Data & Discovery, 2021, 5(2): 203-212. https://doi.org/10.3974/geodp.2021.02.13.
References：
[1] Xiong, M. Q., Sun, R. H., Chen, L. D. A global comparison of soil erosion associated with land use and climate type [J]. Geoderma, 2019, 343: 31-39.
[2] Guerra, C. A., Rosa, I. M. D., Valentini, E., et al. Global vulnerability of soil ecosystems to erosion [J]. Landscape Ecology, 2020, 35(4): 823-842.
[3] Quine, T. A., Van Oost, K. Insights into the future of soil erosion [J]. Proceedings of the National Academy of Sciences of the United States of America, 2020, 117(38): 23205-23207.
[4] Wischmeier, W. H., Smith, D. D. Predicting rainfall erosion losses - a guide to conservation planning [M]. US Department of Agriculture Handbook, 1978, 537: 1-69.
[5] Renard, K. G., Foster, G. R., Weesies, G. A., et al. RUSLE: revised universal soil loss equation [J]. Journal of Soil and Water Conservation, 1991, 46(1): 30-33.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_SoilErasionChina_2000-2015.pdf | 1531.00kb | DownLoad |
| 1 |
SoilErasionChina_2000-2015.rar |
98207.79KB |
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