Temporal variations in soil erodibility indicators of vegetation-restored steep gully slopes on the Loess Plateau of China
文献类型：期刊论文
| 作者 | Zhang, Bao-jun2; Zhang, Guang-hui1,2; Zhu, Ping-zong1; Yang, Han-yue1 |
| 刊名 | AGRICULTURE ECOSYSTEMS & ENVIRONMENT
 |
| 出版日期 | 2019-12-01 |
| 卷号 | 286页码:11 |
| ISSN号 | 0167-8809 |
| 关键词 | Soil erodibility indicator Near soil-surface characteristics Vegetation growth Temporal variability Chinese Loess Plateau |
| DOI | 10.1016/j.agee.2019.106661 |
| 通讯作者 | Zhang, Guang-hui(ghzhang@bnu.edu.cn) |
| 英文摘要 | Near soil-surface characteristics change considerably with vegetation growth during one growing season, and thus likely induce the temporal variations in soil erodibility indicators. This study was performed to investigate the temporal variations in soil erodibility indicators under different vegetation-restored gully slope lands on the Loess Plateau of China. Soil erodibility indicators included the K factor, mean weight diameter (MWD), mean number of drop impacts (MND), saturated conductivity (K-s), cohesion (Coh), penetration resistance (PR), and one comprehensive soil erodibility index (CSEI). One slope cropland (as the control) and seven vegetation-restored gully slope lands were selected to measure soil erodibility indicators for seven times from April 23 to October 10, 2018. Near soil-surface characteristics were also measured to explain the temporal variations in soil erodibility indicators. The results showed that the temporal variations in soil erodibility indicators of different vegetation lands were similar. The K factor fluctuated considerably, while the MWD, MND, K-s, Coh, and PR gradually increased over time. However, all erodibility indicators of the control cropland fluctuated over time with no distinctive trend. The CSEI of all sites fluctuated significantly over time. Compared to the control cropland, the mean K factors of different vegetation lands decreased by 2%-24%, but the mean values of MWD, MND, K-s, Coh, and PR increased by 108%-217%, 152%-343%, 94%-306%, 73%-175%, and 30%-199%, respectively. Consequently, the mean CSEI of different vegetation lands was reduced by 41% to 86%. The temporal variations in soil erodibility indicators were closely related to the seasonal changes in root mass density. Bothriochloa ischaemum (Linn.) Keng was considered the most effective restoration community to reduce soil erodibility of steep gully slope lands. The results contribute to improving the eco-environment on the Chinese Loess Plateau. |
| WOS关键词 | SMALL CATCHMENT ; AGGREGATE STABILITY ; AGRICULTURAL SOILS ; TYPICAL GRASSLANDS ; RILL ERODIBILITY ; WATER EROSION ; PLANT-ROOTS ; LAND-USE ; DETACHMENT ; RESTORATION |
| 资助项目 | National Key Research and Development Program of China[2017YFC0504702] ; State Key Program of National Natural Science of China[41530858] |
| WOS研究方向 | Agriculture ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000500215400015 |
| 资助机构 | National Key Research and Development Program of China ; State Key Program of National Natural Science of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/130393]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Guang-hui |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Bao-jun,Zhang, Guang-hui,Zhu, Ping-zong,et al. Temporal variations in soil erodibility indicators of vegetation-restored steep gully slopes on the Loess Plateau of China[J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT,2019,286:11. |
| APA | Zhang, Bao-jun,Zhang, Guang-hui,Zhu, Ping-zong,&Yang, Han-yue.(2019).Temporal variations in soil erodibility indicators of vegetation-restored steep gully slopes on the Loess Plateau of China.AGRICULTURE ECOSYSTEMS & ENVIRONMENT,286,11. |
| MLA | Zhang, Bao-jun,et al."Temporal variations in soil erodibility indicators of vegetation-restored steep gully slopes on the Loess Plateau of China".AGRICULTURE ECOSYSTEMS & ENVIRONMENT 286(2019):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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