A process-oriented framework to decipher drought propagation dynamics from meteorological to ecological, agricultural, hydrological, and socioeconomic drought in the Yellow River Basin
文献类型：期刊论文
| 作者 | Li, Ziyan1; Huang, Shengzhi2; Wang, Yimin2; Zhou, Shuai1; Huang, Qiang2; Liu, Dengfeng2; Leng, Guoyong3 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2026 |
| 卷号 | 182页码:114574 |
| 关键词 | Multi-type droughts Long-chain drought propagation SWAT model AquaCrop model Bayesian conditional probability model |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2025.114574 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Transitioning from passive drought control to active risk management requires a systematic understanding of drought propagation beyond conventional short chains. This study established a novel framework to characterize high-resolution, cascading drought dynamics across meteorological, hydrological, agricultural, ecological, and socioeconomic dimensions in the drought-prone Yellow River Basin. By integrating SWAT and AquaCrop simulations with electrical network-inspired series-parallel-hybrid theory, we identified dominant propagation pathways and thresholds across 403 sub-basins. Results revealed distinct spatiotemporal groupings where meteorological-ecological and meteorological-agricultural droughts shared similar propagation times, as did meteorological-socioeconomic and meteorological-hydrological droughts. Meanwhile, when ecological drought of varying severity occurred in phase 1, the cascade consistently progressed from meteorological to ecological, then to agricultural, further to hydrological, and ultimately to socioeconomic drought. Series and hybrid modes dominated drought propagation pathways, with series propagation increasing under intensified meteorological drought. As drought severity rose, propagation thresholds declined while exhibiting clear spatial clustering patterns. Driving force analysis indicated that dynamic cumulative processes rely more on environmental drivers than static threshold conditions. This study fills a critical gap in long-chain drought propagation research and supports the development of cascade-based early warning and targeted regulation systems. |
| URL标识 | 查看原文 |
| WOS关键词 | YIELD RESPONSE ; ERROR ; MODEL |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001667878000001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219645]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Huang, Shengzhi; Zhou, Shuai |
| 作者单位 | 1.Hebei Univ Engn, Hebei Prov Key Lab Intelligent Water Resources, Handan 056038, Peoples R China; 2.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China; 3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Ziyan,Huang, Shengzhi,Wang, Yimin,et al. A process-oriented framework to decipher drought propagation dynamics from meteorological to ecological, agricultural, hydrological, and socioeconomic drought in the Yellow River Basin[J]. ECOLOGICAL INDICATORS,2026,182:114574. |
| APA | Li, Ziyan.,Huang, Shengzhi.,Wang, Yimin.,Zhou, Shuai.,Huang, Qiang.,...&Leng, Guoyong.(2026).A process-oriented framework to decipher drought propagation dynamics from meteorological to ecological, agricultural, hydrological, and socioeconomic drought in the Yellow River Basin.ECOLOGICAL INDICATORS,182,114574. |
| MLA | Li, Ziyan,et al."A process-oriented framework to decipher drought propagation dynamics from meteorological to ecological, agricultural, hydrological, and socioeconomic drought in the Yellow River Basin".ECOLOGICAL INDICATORS 182(2026):114574. |
入库方式： OAI收割
来源：地理科学与资源研究所
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