Reconstructed global monthly burned area maps from 1901 to 2020
文献类型：期刊论文
| 作者 | Guo, Zhixuan1; Li, Wei1; Ciais, Philippe7; Sitch, Stephen6; van der Werf, Guido R.5; Bowring, Simon P. K.7; Bastos, Ana4; Mouillot, Florent3; He, Jiaying2; Sun, Minxuan1 |
| 刊名 | EARTH SYSTEM SCIENCE DATA
 |
| 出版日期 | 2025-07-30 |
| 卷号 | 17期号:7页码:3599-3618 |
| ISSN号 | 1866-3508 |
| DOI | 10.5194/essd-17-3599-2025 |
| 产权排序 | 7 |
| 文献子类 | Article |
| 英文摘要 | Fire is a key Earth system process, driving variability in the global carbon cycle through CO2 emissions into the atmosphere and subsequent CO2 uptake through vegetation recovery after fires. Global spatiotemporally consistent datasets on burned area have been available since the beginning of the satellite era in the 1980s, but they are sparse prior to that date. In this study, we reconstructed global monthly burned area at a resolution of 0.5 degrees x 0.5 degrees from 1901 to 2020 using machine learning models trained on satellite-based observations of burned area between 2003 and 2020, with the goal of reconstructing long-term burned area information to constrain historical fire simulations. We first conducted a classification model to separate grid cells with extreme (burned area >= the 90th percentile in a given region) or regular fires. We then trained separate regression models for grid cells with extreme or regular fires. Both the classification and regression models were trained on a satellite-based burned area product (FireCCI51), using explanatory variables related to climate, vegetation and human activities. The trained models can well reproduce the long-term spatial patterns (slopes = 0.70-1.28 and R-2 = 0.69-0.98 spatially), inter-annual variability and seasonality of the satellite-based burned area observations. After applying the trained model to the historical period, the predicted annual global total burned area ranges from 3.46x10(6) to 4.58x10(6) km(2) yr(-1) over 1901-2020 with regular and extreme fires accounting for 1.36x10(6)-1.74x10(6) and 2.00x10(6)-3.03x10(6) km(2) yr(-1), respectively. Our models estimate a global decrease in burned area during 1901-1978 (slope ==-0.009x10(6) km(2) yr(-2)), followed by an increase during 1978-2008 (slope = 0.020x10(6) km(2) yr(-2)), and then a stronger decline in 2008-2020 (slope = -0.049x10(6 )km(2) yr(-2)). Africa was the continent with the largest burned area globally during 1901-2020, and its trends also dominated the global trends. We validated our predictions against charcoal records, and our product exhibits a high overall accuracy in simulating fire occurrence (>80 %) in boreal North America, southern Europe, South America, Africa and southeast Australia, but the overall accuracy is relatively lower in northern Europe and Asia (<50 %). In addition, we compared our burned area data with multiple independent regional burned area maps in Canada, the USA, Brazil, Chile and Europe, and found general consistency in the spatial patterns (linear regression slopes ranging 0.84-1.38 spatially) and the inter-annual variability. The global monthly 0.5 degrees x 0.5 degrees burned area fraction maps for 1901-2020 presented by this study can be downloaded for free from https://doi.org/10.5281/zenodo.14191467 (Guo and Li, 2024). |
| URL标识 | 查看原文 |
| WOS关键词 | FIRE EMISSIONS ; LAND-USE ; FOREST-FIRE ; MODEL ; CLIMATE ; TRENDS ; COVER ; SENSITIVITY ; DATABASE |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001539984700001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215549]  |
| 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 | Li, Wei |
| 作者单位 | 1.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Montpellier, CNRS, EPHE, CEFE,IRD,UMR 5175, 1919 Route Mende, F-34293 Montpellier 5, France; 4.Univ Leipzig, Inst Earth Syst Sci & Remote Sensing, Talstr 35, D-04103 Leipzig, Germany; 5.Wageningen Univ, Environm Sci Grp, POB 47, NL-6700AA Wageningen, Netherlands; 6.Univ Exeter, Fac Environm Sci & Econ, Exeter EX4 4QF, England; 7.Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, IPSL,CEA,CNRS,UVSQ, F-91191 Gif Sur Yvette, France; |
| 推荐引用方式 GB/T 7714 | Guo, Zhixuan,Li, Wei,Ciais, Philippe,et al. Reconstructed global monthly burned area maps from 1901 to 2020[J]. EARTH SYSTEM SCIENCE DATA,2025,17(7):3599-3618. |
| APA | Guo, Zhixuan.,Li, Wei.,Ciais, Philippe.,Sitch, Stephen.,van der Werf, Guido R..,...&Huang, Xiaomeng.(2025).Reconstructed global monthly burned area maps from 1901 to 2020.EARTH SYSTEM SCIENCE DATA,17(7),3599-3618. |
| MLA | Guo, Zhixuan,et al."Reconstructed global monthly burned area maps from 1901 to 2020".EARTH SYSTEM SCIENCE DATA 17.7(2025):3599-3618. |
入库方式： OAI收割
来源：地理科学与资源研究所
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