The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China
文献类型：期刊论文
| 作者 | Feng, Lili3; Zhou, Wenneng2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 15期号:5 |
| ISSN号 | 2072-4292 |
| 关键词 | forest fire NDFI GPP China |
| DOI | 10.3390/rs15051364 |
| 文献子类 | Article |
| 英文摘要 | Forest fire as a common disturbance has an important role in the terrestrial ecosystem carbon cycling. However, the causes and impacts of longtime burned areas on carbon cycling need further exploration. In this study, we exploit Thematic Mapper (TM) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to develop a quick and efficient method for large-scale forest fire dynamic monitoring in China. Band 2, band 4, band 6, and band 7 of MOD09A1 were selected as the most sensitive bands for calculating the Normalized Difference Fire Index (NDFI) to effectively estimate fire burned area. The Convergent Cross Mapping (CCM) algorithm was used to analyze the causes of the forest fire. A trend analysis was used to explore the impacts of forest fire on Gross Primary Productivity (GPP). The results show that the burned area has an increased tendency from 2009 to 2018. Forest fire is greatly influenced by natural factors compared with human factors in China. But only 30% of the forest fire causes GPP loss. The loss is mainly concentrated in the northeast forest region. The results of this study have important theoretical significance for vegetation restoration of the burned area. |
| WOS关键词 | BURNED AREA ; CLIMATE ; CARBON |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 出版者 | MDPI |
| WOS记录号 | WOS:000947541700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190263]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Guangdong Univ Technol, Sch Ecol Environm & Resources, Guangdong Prov Key Lab Water Qual Improvement & Ec, Guangzhou 510006, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Natl Ecosyst Sci Data Ctr, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Lili,Zhou, Wenneng. The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China[J]. REMOTE SENSING,2023,15(5). |
| APA | Feng, Lili,&Zhou, Wenneng.(2023).The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China.REMOTE SENSING,15(5). |
| MLA | Feng, Lili,et al."The Forest Fire Dynamic Change Influencing Factors and the Impacts on Gross Primary Productivity in China".REMOTE SENSING 15.5(2023). |
入库方式： OAI收割
来源：地理科学与资源研究所
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