Assessing sediment connectivity and its spatial response on land use using two flow direction algorithms in the catchment on the Chinese Loess Plateau
文献类型：期刊论文
| 作者 | Yan, Xi-qin1,3; Jiao, Ju-ying1,2,3; Tang, Bing-zhe2; Liang, Yue1,3; Wang, Zhi-jie1,4 |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 19期号:4页码:1119-1138 |
| 关键词 | Sediment connectivity Land use Landscape metrics Catchments Loess Plateau |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-021-6936-7 |
| 通讯作者 | Jiao, Ju-ying(jyjiao@ms.iswc.ac.cn) |
| 英文摘要 | Severe soil and water loss have led to widespread land degradation on the Loess Plateau in China. Exploring the relationship between land use and sediment connectivity can be beneficial to control soil erosion. In this study, three catchments in the Yanhe River Basin on the Loess Plateau were selected to analyse the relationship between land use and sediment connectivity using grey correlation method. Index of connectivity (IC) was employed to quantify sediment connectivity, including two flow direction algorithms (D8 and D-infinity) and two final targets of sediment transport (outlet and main channel of catchment). Then, 11 landscape metrics were used to evaluate the land use spatial patterns of catchments. By comparing the IC value ranges, histograms and classes, and their relationship with remote sensing images of the two flow direction algorithms, we find that the D8 algorithm is more suitable for this study area. The results showed that the three catchments are characterized by high sediment connectivity in the grassland and forest close to the channel. In addition, the roads and bare land close to the channel also have high or medium sediment connectivity. Grey correlation analysis showed that landscape division index (DIVISION), fractal dimension index (FRAC-MN), aggregation index (AI), total class area, patch cohesion index (COHESION), and largest patch index (LPI) indices were the main factors that affect sediment connectivity at the class scale. At the landscape scale, the landscape shape index (LSI), Shannon's diversity index (SHDI), and gully density have an essential effect on sediment connectivity. This condition provides a way to control the sediment connectivity in the watershed by transforming land use type or changing its spatial pattern, but specific adjustment measures have to be further explored. |
| WOS关键词 | SOIL-EROSION ; HYDROLOGICAL CONNECTIVITY ; CHECK DAMS ; LANDSCAPE CONNECTIVITY ; YIELD ; RIVER ; AREAS ; VARIABILITY ; FRAMEWORK ; IMPACT |
| 资助项目 | National Natural Science Foundation of China[42077078] ; National Natural Science Foundation of China[U2243213] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000783541800015 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/174990]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jiao, Ju-ying |
| 作者单位 | 1.Chinese Acad Sci & Minist Water Resources, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 2.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Guizhou Univ, Coll Life Sci, Guiyang 550025, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Xi-qin,Jiao, Ju-ying,Tang, Bing-zhe,et al. Assessing sediment connectivity and its spatial response on land use using two flow direction algorithms in the catchment on the Chinese Loess Plateau[J]. JOURNAL OF MOUNTAIN SCIENCE,2022,19(4):1119-1138. |
| APA | Yan, Xi-qin,Jiao, Ju-ying,Tang, Bing-zhe,Liang, Yue,&Wang, Zhi-jie.(2022).Assessing sediment connectivity and its spatial response on land use using two flow direction algorithms in the catchment on the Chinese Loess Plateau.JOURNAL OF MOUNTAIN SCIENCE,19(4),1119-1138. |
| MLA | Yan, Xi-qin,et al."Assessing sediment connectivity and its spatial response on land use using two flow direction algorithms in the catchment on the Chinese Loess Plateau".JOURNAL OF MOUNTAIN SCIENCE 19.4(2022):1119-1138. |
入库方式： OAI收割
来源：地理科学与资源研究所
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