Impact of Rising Compound Drought and Heatwaves on Vegetation in Global Drylands
文献类型：期刊论文
| 作者 | Wang, Che2,3; Sun, Xupeng1; Lu, Ning1; Qin, Jun1,4 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 18页码:24509-24517 |
| 关键词 | Heating systems Vegetation mapping Soil moisture Droughts Indexes Market research Vegetation Predictive models Monitoring Temperature distribution Drylands heatwaves interpretable machine learning solar-induced fluorescence (SIF) |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2025.3610155 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Compound drought and heatwave events (CDHWs) are increasing in frequency across dryland ecosystems, yet their impacts on vegetation remain insufficiently studied. In this study, we develop a new CDHWs index that integrates a four-day standardized soil moisture index with heatwaves index. Employing an interpretable machine learning model, we quantitatively analyzed the effects of various environmental factors on vegetation during CDHWs. Results demonstrate significant upward trends in CDHW frequency, intensity, and maximum duration across global drylands. Analysis indicates that 65% of CDHWs negatively affect vegetation, 20% produce positive effects, and 15% result in minimal impact. Accumulated local effects and partial dependence plot analyses identify maximum temperature as the primary factor driving negative vegetation responses, while soil moisture emerges as the predominant factor associated with positive responses. Projections under multiple coupled model intercomparison project phase 6 scenarios (SSP245 and SSP585) indicate continued increases in CDHW frequency, intensity, and maximum duration through 2054. These findings underscore the necessity for fine-scale monitoring of compound extremes and offer actionable insights for adaptive management in dryland regions. |
| URL标识 | 查看原文 |
| WOS关键词 | PHOTOSYNTHESIS ; IDENTIFICATION ; TEMPERATURE ; INDEX |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001586183400018 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217570]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Sun, Xupeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100045, Peoples R China; 2.Capital Normal Univ, Key Lab Mech Prevent & Mitigat Land Subsidence, MOE, Beijing 100048, Peoples R China; 3.Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China; 4.Yunnan Normal Univ, Fac Geog, Kunming 650050, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Che,Sun, Xupeng,Lu, Ning,et al. Impact of Rising Compound Drought and Heatwaves on Vegetation in Global Drylands[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:24509-24517. |
| APA | Wang, Che,Sun, Xupeng,Lu, Ning,&Qin, Jun.(2025).Impact of Rising Compound Drought and Heatwaves on Vegetation in Global Drylands.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,24509-24517. |
| MLA | Wang, Che,et al."Impact of Rising Compound Drought and Heatwaves on Vegetation in Global Drylands".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):24509-24517. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。