Evaluating soil erosion by introducing crop residue cover and anthropogenic disturbance intensity into cropland C-factor calculation: Novel estimations from a cropland-dominant region of Northeast China
文献类型：期刊论文
| 作者 | Wan, Wei1,2,3,4; Liu, Zhong1,2; Li, Baoguo1,2; Fang, Haiyan5; Wu, Hanqing1,2; Yang, Haoyu1,2 |
| 刊名 | SOIL & TILLAGE RESEARCH
 |
| 出版日期 | 2022-05-01 |
| 卷号 | 219页码:18 |
| ISSN号 | 0167-1987 |
| 关键词 | Soil erosion RUSLE Crop residue cover Anthropogenic disturbance intensity Northeast China |
| DOI | 10.1016/j.still.2022.105343 |
| 通讯作者 | Liu, Zhong(lzh@cau.edu.cn) ; Li, Baoguo(libg@cau.edu.cn) |
| 英文摘要 | The black-land in Northeast China is one of three black-lands in the world and has become the largest grain producing area and commercial grain base of China. Therefore, black-land soil erosion caused by natural factors and human activities has attracted much attention. The Revised Universal Soil Loss Equation (RUSLE) developed by the Agriculture Research Service of the United States Department of Agriculture provides a comprehensive framework for assessing soil erosion and has been widely applied all over the world. Compared with factors such as rainfall erosivity, soil erodibility, topography, and conservation practice, the vegetation coverage and management factor (C-factor in RUSLE) of cropland encompasses the most easily optimized measures. However, in some studies, the quantification of C-factor only considers vegetation cover and ignores other farmland management measures due to the limitation of field management information at regional scale, which implies a huge room for improvement in quantification of C-factor. In this study, the quantification of C-factor considered not only vegetation cover but also crop residue cover, agricultural machinery total power, and fertilizer application rate. Among them, the former is related to weakening soil erosivity, and the latter two are related to enhancing soil erosivity. Monitored sediment transport modulus (STM) at the sub-watershed scale was used to compare changes in the estimation accuracy of the soil erosion modulus (SEM) before and after improving the C-factor. The results showed that the improved cropland C-factor in RUSLE produced a better linear fit accuracy between SEM and STM, with an average increase of 0.115 for R-2. Moreover, the order of SEM from high to low in different years was: 12.01 t.ha(-1).y(-1) (2019), 11.43 t.ha(-1).yr(-1) (2005), 11.17 t.ha(-1).yr(-1) (2010), 11.01 t.ha(-1).yr(-1) (2015), and 10.30 t.ha(-1).yr(-1) (2000), which was positively correlated with interannual variation of precipitation in Northeast China. Spatially, the order of multi-year average SEM in agricultural zones from high to low was as follows: 22.53 t.ha(-1).yr(-1) (Liaoning Plain and Hilly Zone; LPH), 20.44 t.ha(-1).yr(-1) (Baekdu Mountain Zone; BM), 15.11 t.ha(-1).yr(-1) (Western Liao River Zone; WLR), 11.36 t.ha(-1).yr(-1) (Lesser Khingan Mountain Zone; LKM), 7.56 t.ha(-1).yr(-1) (Greater Khingan Mountain Zone; GKM), 3.41 t.ha(-1).yr(-1) (Sanjiang Plain Zone; SJP), 3.14 t.ha(-1).yr(-1) (Songnen Plain Zone; SNP), and 2.06 t.ha(-1).yr(-1) (Hulunbuir Grassland Zone; HG), whereas the soil loss amount from high to low in various agricultural zones was in the order of BM > LPH > WLR > GKM > LKM > SNP > SJP > HG. Our study verified the feasibility of improving the C-factor of croplands in areas where cropland is the dominant land-use type. Moreover, our method will contribute to the use of RUSLE with higher precision in other regional-scale soil erosion assessments worldwide. |
| WOS关键词 | LAND USE/COVER CHANGE ; SEDIMENT YIELD ; TILLAGE PRACTICES ; WATER EROSION ; LOESS PLATEAU ; CORN RESIDUE ; BLACK SOIL ; P-FACTOR ; CATCHMENT ; IMPACTS |
| 资助项目 | National Key Research and Devel-opment Program of China[2016YFD030080101] ; National Key Research and Devel-opment Program of China[2016YFD0201202] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000784293800002 |
| 资助机构 | National Key Research and Devel-opment Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/174509]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Zhong; Li, Baoguo |
| 作者单位 | 1.China Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China 2.Minist Agr & Rural Affairs, Key Lab Arable Land Conservat North China, Beijing, Peoples R China 3.Nanchang Univ, Sch Resources Environm & Chem Engn, Key Lab Poyang Lake Environm & Resource Utilizat, Minist Educ, Nanchang 330031, Peoples R China 4.Jiangxi Inst Ecol Civilizat, Nanchang 330031, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 |
Wan, Wei,Liu, Zhong,Li, Baoguo,et al. Evaluating soil erosion by introducing crop residue cover and anthropogenic disturbance intensity into cropland C-factor calculation: Novel estimations from a cropland-dominant region of Northeast China [J]. SOIL & TILLAGE RESEARCH,2022,219:18. |
| APA |
Wan, Wei,Liu, Zhong,Li, Baoguo,Fang, Haiyan,Wu, Hanqing,&Yang, Haoyu.(2022). Evaluating soil erosion by introducing crop residue cover and anthropogenic disturbance intensity into cropland C-factor calculation: Novel estimations from a cropland-dominant region of Northeast China .SOIL & TILLAGE RESEARCH,219,18. |
| MLA |
Wan, Wei,et al." Evaluating soil erosion by introducing crop residue cover and anthropogenic disturbance intensity into cropland C-factor calculation: Novel estimations from a cropland-dominant region of Northeast China ".SOIL & TILLAGE RESEARCH 219(2022):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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