A 500-m Agricultural Drought Impact Dataset in China's Main Grain Region: Toward Impact-Based Drought Monitoring
文献类型：期刊论文
| 作者 | Shi, Jiali3,7; Sang, Yan-Fang3,4,7; Aghakouchak, Amir1,5; Dash, Sonam Sandeep6; Chan, Faith Ka Shun2 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2026-02-05 |
| 卷号 | 13期号:1页码:357 |
| DOI | 10.1038/s41597-026-06732-3 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | A high-resolution, quantitative dataset of agricultural drought impacts is essential for advancing impact-based drought monitoring and prediction. Yet, such data remain the critical missing piece, representing the major obstacle to developing robust, impact-driven drought assessments. Here, we generated a 500 m-gridded agricultural drought-impacted area dataset in the China's main grain region (ADIA-CMGR) during 2006-2020. We employ a leaf area index (LAI)-based relative threshold method to extract the areas with three degrees of drought impacts for summer-harvest crops, autumn-harvest crops, and early rice, respectively. The dataset constitutes various information, including drought-covered area, drought-damaged area, and crop failure area. Validation with the text-based qualitative records of agricultural drought-impacted areas shows that ADIA-CMGR offers accurate temporal variability and reasonable spatial distribution. The developed dataset satisfactorily revealed the spatial and inter-annual dynamics of agricultural drought-impacted areas across various crop-growing seasons, providing a solid foundation for managing drought impacts and improving agricultural practices. |
| URL标识 | 查看原文 |
| WOS关键词 | LAI ; INDICATORS ; INDEXES ; PLAIN |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001713924000009 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221372]  |
| 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 | Sang, Yan-Fang |
| 作者单位 | 1.United Nations Univ Inst Water Environm & Hlth UNU, Ottawa, ON, Canada; 2.Univ Nottingham Ningbo China, Fac Sci & Engn, Sch Geog Sci, Ningbo 315100, Peoples R China 3.Univ Chinese Acad Sci, Beijing 101407, Peoples R China; 4.Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards, Beijing 100085, Peoples R China; 5.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA; 6.King Abdullah Univ Sci & Technol, Phys Sci & Engn Div, Thuwal, Saudi Arabia; 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Shi, Jiali,Sang, Yan-Fang,Aghakouchak, Amir,et al. A 500-m Agricultural Drought Impact Dataset in China's Main Grain Region: Toward Impact-Based Drought Monitoring[J]. SCIENTIFIC DATA,2026,13(1):357. |
| APA | Shi, Jiali,Sang, Yan-Fang,Aghakouchak, Amir,Dash, Sonam Sandeep,&Chan, Faith Ka Shun.(2026).A 500-m Agricultural Drought Impact Dataset in China's Main Grain Region: Toward Impact-Based Drought Monitoring.SCIENTIFIC DATA,13(1),357. |
| MLA | Shi, Jiali,et al."A 500-m Agricultural Drought Impact Dataset in China's Main Grain Region: Toward Impact-Based Drought Monitoring".SCIENTIFIC DATA 13.1(2026):357. |
入库方式： OAI收割
来源：地理科学与资源研究所
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