Soil erosion rates assessed by RUSLE and PESERA for a Chinese Loess Plateau catchment under land-cover changes
文献类型:期刊论文
作者 | Li, Pengfei3; Zang, Yuzhe3; Ma, Doudou3; Yao, Wanqiang3; Holden, Joseph1; Irvine, Brian1; Zhao, Guangju2,4 |
刊名 | EARTH SURFACE PROCESSES AND LANDFORMS |
出版日期 | 2019-12-05 |
页码 | 16 |
ISSN号 | 0197-9337 |
关键词 | dryland land degradation erosion soil conservation multi-model assessment model comparison |
DOI | 10.1002/esp.4767 |
通讯作者 | Li, Pengfei(pengfeili@xust.edu.cn) |
英文摘要 | On the Chinese Loess Plateau, soil erosion models are often employed to predict erosion rates and responses to land-use/-cover changes (LUCCs). Previous Loess Plateau studies employed individual models with specific emphases but model comparisons have not been undertaken so the relative performance of different models is not known. In this study we employed two extensively applied models (RUSLE and PESERA) to investigate the impact of LUCCs during 1990-2000 and 2000-2011 on soil erosion rates for a typical Loess Plateau catchment (i.e. Huangfuchuan), and compared their modelling results. Land-cover patterns for 1990, 2000 and 2011 were derived from Landsat images. The catchment was dominated by grassland (over 70%) and experienced considerable LUCCs: vegetation coverage increased from 38.3% in 1990 to 48.7% in 2011. Modelling results suggested that mean soil erosion rates of the catchment increased under the 1990-2000 LUCC and decreased under the 2000-2011 LUCC. Sandy land and scrubland were found to suffer from most severe soil erosion and thus should be the focus of future conservation work. Mean soil erosion rates on steep slopes (i.e. > 25 degrees) were predicted to increase under the 2000-2011 LUCC, implying that further work is still needed to study soil erosion processes and their conservation on steep slopes. Model comparisons showed that RUSLE predictions were higher than PESERA predictions for most areas (particularly for steep slopes), and the former were generally closer than the latter to check-dam sediment yield measurements. RUSLE and PESERA results were not linearly correlated, possibly due to differences in their underlying principles and their sensitivity to crucial parameters - RUSLE is more sensitive to slope gradients while PESERA is more sensitive to vegetation coverage. PESERA needs improvement to better account for steep slope erosion processes on the Loess Plateau, while RUSLE needs improvement in the description of vegetation effects. (c) 2019 John Wiley & Sons, Ltd. |
WOS关键词 | BLANKET PEAT EROSION ; RIVER-BASIN ; VEGETATION COVER ; SEDIMENT YIELD ; CLIMATE ; MODEL ; WILDFIRE ; RUNOFF ; SCALE ; ENVIRONMENT |
资助项目 | National Key R&D Programme of China[2018YFD0800806] ; National Key R&D Programme of China[2016YFC0402401] ; National Natural Science Foundation of China[41807063] ; National Natural Science Foundation of China[51674195] |
WOS研究方向 | Physical Geography ; Geology |
语种 | 英语 |
出版者 | WILEY |
WOS记录号 | WOS:000500739400001 |
资助机构 | National Key R&D Programme of China ; National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/130661] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Li, Pengfei |
作者单位 | 1.Univ Leeds, Sch Geog, Water Leeds, Leeds, W Yorkshire, England 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China 3.Xian Univ Sci & Technol, Coll Geomat, Xian, Shaanxi, Peoples R China 4.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Pengfei,Zang, Yuzhe,Ma, Doudou,et al. Soil erosion rates assessed by RUSLE and PESERA for a Chinese Loess Plateau catchment under land-cover changes[J]. EARTH SURFACE PROCESSES AND LANDFORMS,2019:16. |
APA | Li, Pengfei.,Zang, Yuzhe.,Ma, Doudou.,Yao, Wanqiang.,Holden, Joseph.,...&Zhao, Guangju.(2019).Soil erosion rates assessed by RUSLE and PESERA for a Chinese Loess Plateau catchment under land-cover changes.EARTH SURFACE PROCESSES AND LANDFORMS,16. |
MLA | Li, Pengfei,et al."Soil erosion rates assessed by RUSLE and PESERA for a Chinese Loess Plateau catchment under land-cover changes".EARTH SURFACE PROCESSES AND LANDFORMS (2019):16. |
入库方式: OAI收割
来源:地理科学与资源研究所
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