Improved statistical models for the relationship between riparian vegetation and river flow in arid environments: Implications for flow management
文献类型：期刊论文
| 作者 | Zhang, Yichi1 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2023-05-20 |
| 卷号 | 874页码:162487 |
| 关键词 | Riparian vegetation River flow Arid environments Statistical models Spatial pattern |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2023.162487 |
| 文献子类 | Article |
| 英文摘要 | Riparian vegetation (RV) provides critical ecosystem services but has been degraded worldwide due to river flow change. Quantitative relationships between RV and river flow are essential for understanding RV developments and managing flow to conserve RV. Based on the improved statistical model framework that incorporates previous RV conditions into explanatory variables to estimate later RV conditions, this study quantified the RV-flow relationships on the annual scale in the arid Ejina Delta through regression analysis coupled with the normalized difference vegetation index (NDVI) and hydrological data during 2002-2020. The median of NDVIs over the April-October growing season (SMN) was used to indicate annual vegetation conditions, and annual RV cover was derived using a dynamic SMN threshold (0.077-0.084) based on its better vegetation conditions than surrounding deserts. The water year was determined as September-August based on the defoliation time and lag time of the groundwater response to river flow. The results showed that (1) the RV cover approximately expanded from 1619 to 2914 km2, and the total SMN of RV cover increased from 3711 to 7880; (2) the spatial pattern of SMN declining away from rivers was well described by an exponential function with two physically meaningful parameters (R2 = 0.99); (3) the water-year runoff ranged from 4.0 x 108 to 10.6 x 108 m3 with an increasing trend; and (4) the annual RV condition, including both the total SMN and the spatial pattern of SMN, was well estimated by the multiple linear models incorporating a previous RV condition with a coefficient <1 and the subsequent water-year runoffs (R2 = 0.98). The results suggest that previous RV conditions are necessary to improve the rationality and performance of RV-flow relationship models, and in arid environments, annual RV conditions depend on the RV's degradation characteristics under zero flow conditions and the ecological benefit by river flow. |
| WOS关键词 | LOWER HEIHE RIVER ; LOWER REACHES ; POPULUS-EUPHRATICA ; WATER-USE ; UNITED-STATES ; EJINA BASIN ; RESTORATION ; SATELLITE ; DYNAMICS ; RESILIENCE |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:000961343600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190500]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yichi. Improved statistical models for the relationship between riparian vegetation and river flow in arid environments: Implications for flow management[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2023,874:162487. |
| APA | Zhang, Yichi.(2023).Improved statistical models for the relationship between riparian vegetation and river flow in arid environments: Implications for flow management.SCIENCE OF THE TOTAL ENVIRONMENT,874,162487. |
| MLA | Zhang, Yichi."Improved statistical models for the relationship between riparian vegetation and river flow in arid environments: Implications for flow management".SCIENCE OF THE TOTAL ENVIRONMENT 874(2023):162487. |
入库方式： OAI收割
来源：地理科学与资源研究所
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