Vertical distribution of vegetation roots and its influence on soil erosion resistance along gully headwalls in the gullied Loess Plateau
文献类型：期刊论文
| 作者 | Lou, Yibao1; Kang, Hongliang1; Wang, Wenlong1,2; Guo, Mingming3; Guo, Wenzhao1; Xiao, Hai4 |
| 刊名 | JOURNAL OF SOILS AND SEDIMENTS
 |
| 出版日期 | 2022-11-29 |
| 页码 | 16 |
| ISSN号 | 1439-0108 |
| 关键词 | Gully headwall Root system Concentrated flow Soil antiscourability Loess Plateau |
| DOI | 10.1007/s11368-022-03395-6 |
| 通讯作者 | Wang, Wenlong(nwafu_wwl@163.com) |
| 英文摘要 | Purpose On-wall flow on gully headwalls plays a critical role in gully headcut erosion, and the erosion morphology of gully headwalls caused by on-wall flow scouring varies under different land uses/covers due to variations in soil resistance. However, it is unclear how vegetation roots affect the soil resistance of gully headwalls to on-wall flow scouring. Materials and methods Taking bare land as the control, this study analysed the vertical distribution of vegetation roots and its influence on the soil properties and antiscourability (ANS) of gully headwalls under three land uses (forestland, grassland, and farmland). Results and discussion The results showed that root mass density (RMD), root length density (RLD), root surface area density (RAD), and root volume density (RVD) decreased overall with increasing soil vertical depth at the gully headwall under the three land use types. The soil ANS ranked highest to lowest in forestland, grassland, farmland, and bare land. Compared with that of bare land, the ANS of each soil layer (0-20, 20-40, 40-60, 60-80, and 80-100 cm) under the three land use types increased by 3.0-9.1, 6.7-8.6, 2.6-10.5, 3.9-5.6, and 0.2-1.9 times, respectively. The ANS of the gully headwalls had a logarithmic relationship with RLD, RAD, and RVD (R-2 = 0.45-0.56, P < 0.01). In particular, the most significant correlation was found between the ANS and RVD of fine roots (diameters of 0-0.5 mm). The ANS decreased with the decrease in root density with vertical depth. Conclusions Our results reveal that vertically distributed roots determine the vertical variations in soil ANS on gully headwalls in the gullied Loess Plateau. |
| WOS关键词 | PLANT-ROOTS ; AGGREGATE STABILITY ; CONCENTRATED FLOW ; ERODIBILITY ; VALLEY ; RESTORATION ; RELEASE ; HISTORY ; CHANNEL ; IMPACT |
| 资助项目 | Natural Science Foundation of China[42077079] ; Natural Science Foundation of China[41571275] ; Natural Science Foundation of China[41907057] ; 111 Project of Hubei Province[2021EJD026] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| 出版者 | SPRINGER HEIDELBERG |
| WOS记录号 | WOS:000889381200001 |
| 资助机构 | Natural Science Foundation of China ; 111 Project of Hubei Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187655]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Wenlong |
| 作者单位 | 1.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 3.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Mollisols Agroecol, Harbin 150081, Heilongjiang, Peoples R China 4.China Three Gorges Univ, Key Lab Geol Hazards Three Gorges Reservoir Area, Minist Educ, Yichang 443002, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lou, Yibao,Kang, Hongliang,Wang, Wenlong,et al. Vertical distribution of vegetation roots and its influence on soil erosion resistance along gully headwalls in the gullied Loess Plateau[J]. JOURNAL OF SOILS AND SEDIMENTS,2022:16. |
| APA | Lou, Yibao,Kang, Hongliang,Wang, Wenlong,Guo, Mingming,Guo, Wenzhao,&Xiao, Hai.(2022).Vertical distribution of vegetation roots and its influence on soil erosion resistance along gully headwalls in the gullied Loess Plateau.JOURNAL OF SOILS AND SEDIMENTS,16. |
| MLA | Lou, Yibao,et al."Vertical distribution of vegetation roots and its influence on soil erosion resistance along gully headwalls in the gullied Loess Plateau".JOURNAL OF SOILS AND SEDIMENTS (2022):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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