Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China
文献类型：期刊论文
| 作者 | Wang, Wei3; Luo, Yi1,3; Wang, Xiaolei; Sun, Lin |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2023-12-15 |
| 卷号 | 157页码:111260 |
| 关键词 | Vegetation -soil water interactions Probabilistic soil water model Infiltration -excess runoff Saturation -excess runoff Yellow River basin |
| DOI | 10.1016/j.ecolind.2023.111260 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Over the last few decades, vegetation-soil water interactions in the semiarid middle Yellow River basin have been a topic of interest for many researchers, especially since the implementation of the Grain-to-Green Project (GTGP) in 1999. The probabilistic states of soil water and water stress on vegetation development provide interactions from a perspective that is different from process-based modelling approaches. The Laio's model, a widely used probabilistic soil water model was applied in the study. To include the infiltration-excess runoff, coexist with the saturation-excess runoff, or even be dominant in the study region, a parameter Delta 2 was incorporated to reflect mean surface runoff of a rainfall event under current theoretical framework of Laio's model. The modified model was evaluated against the observations, and the effectiveness of the modification was proved in the study region. Based on the modified model, the soil water response to vegetation restoration was studied with remote-sensing based land use and leaf area index in the 2000 s and 2010 s. Vegetation was restored in most parts of the region, resulting in soil water reduction in approximately 83 % of the area, and the soil water stress increased by 49 % on average. The reduction in soil water and increase in soil water stress were more serious in areas that had converted vegetation and loess soil than those had non-converted vegetation and non-loess soil. These findings might imply that vegetation greening will reach an upper limit due to the negative soil water balance and increased water stress on plant growth, which is meaningful for a better understanding of vegetation-soil water interactions and ecosystem management in semi-arid regions. |
| WOS关键词 | LOESS PLATEAU ; CONTROLLED ECOSYSTEMS ; HYDROLOGIC PROCESSES ; MOISTURE DYNAMICS ; ACTIVE-ROLE ; ROBINIA-PSEUDOACACIA ; LAND-USE ; CLIMATE ; STRESS ; PLANTS |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001119861900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200998]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China 2.Hainan Normal Univ, Sch Geog & Environm Sci, 99 Longkun South Rd, Haikou, Hainan, Peoples R China 3.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Wei,Luo, Yi,Wang, Xiaolei,et al. Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China[J]. ECOLOGICAL INDICATORS,2023,157:111260. |
| APA | Wang, Wei,Luo, Yi,Wang, Xiaolei,&Sun, Lin.(2023).Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China.ECOLOGICAL INDICATORS,157,111260. |
| MLA | Wang, Wei,et al."Improving Laio's model for investigating soil water response to vegetation restoration in the middle Yellow River Basin, China".ECOLOGICAL INDICATORS 157(2023):111260. |
入库方式： OAI收割
来源：地理科学与资源研究所
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