Disentangling the Roles of Climate Variables in Forest Fire Occurrences in China
文献类型：期刊论文
| 作者 | Lian, Chenqin1,2,3,4; Feng, Zhiming3,4; Gu, Hui1; Gao, Beilei1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 17期号:1页码:88 |
| 关键词 | forest active fires GIS MODIS C6 geographical detector climate drivers China |
| DOI | 10.3390/rs17010088 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | In the context of global warming, climate strongly affects forest fires. With long-term and strict fire prevention policies, China has become a unique test arena for comprehending the role of climatic variables in affecting forest fires. Here, using GIS spatial analysis, Pearson correlation, and geographical detector, the climate drivers of forest fires in China are revealed using the 2003-2022 active fire data from the MODIS C6 and climate products from CHELSA (Climatologies at high resolution for the Earth's land surface areas). The main conclusions are as follows: (1) In total, 82% of forest fires were prevalent in the southern and southwestern forest regions (SR and SWR) in China, especially in winter and spring. (2) Forest fires were mainly distributed in areas with a mean annual temperature and annual precipitation of 14 similar to 22 degrees C (subtropical) and 800 similar to 2000 mm (humid zone), respectively. (3) Incidences of forest fires were positively correlated with temperature, potential evapotranspiration, surface downwelling shortwave flux, and near-surface wind speed but negatively correlated with precipitation and near-surface relative humidity. (4) Temperature and potential evapotranspiration dominated the roles in determining spatial variations of China's forest fires, while the combination of climate variables complicated the spatial variation. This paper not only provides new insights on the impact of climate drives on forest fires, but also offers helpful guidance for fire management, prevention, and forecasting. |
| URL标识 | 查看原文 |
| WOS关键词 | SPATIAL-PATTERNS ; MODIS SATELLITE ; HUMAN DRIVERS ; WILDFIRES ; EMISSIONS ; IMPACTS ; AREA |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001395019000001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211365]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Feng, Zhiming |
| 作者单位 | 1.Nanjing Univ Sci & Technol, Sch Publ Affairs, Nanjing 210094, Peoples R China; 2.Jiangxi Normal Univ, Key Lab Nat Disaster Monitoring Early Warning & As, Nanchang 330022, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Lian, Chenqin,Feng, Zhiming,Gu, Hui,et al. Disentangling the Roles of Climate Variables in Forest Fire Occurrences in China[J]. REMOTE SENSING,2025,17(1):88. |
| APA | Lian, Chenqin,Feng, Zhiming,Gu, Hui,&Gao, Beilei.(2025).Disentangling the Roles of Climate Variables in Forest Fire Occurrences in China.REMOTE SENSING,17(1),88. |
| MLA | Lian, Chenqin,et al."Disentangling the Roles of Climate Variables in Forest Fire Occurrences in China".REMOTE SENSING 17.1(2025):88. |
入库方式： OAI收割
来源：地理科学与资源研究所
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