| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.3390/f9070437 |
| Modeling Burned Areas in Indonesia: The FLAM Approach. | |
| Khabarov N; Pirker J; Kraxner F; Yowargana P; Schepaschenko D; Obersteiner M | |
| 发表日期 | 2018 |
| 出处 | Forests 9 (7): e437 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | Large-scale wildfires affect millions of hectares of land in Indonesia annually and produce severe smoke haze pollution and carbon emissions, with negative impacts on climate change, health, the economy and biodiversity. In this study, we apply a mechanistic fire model to estimate burned area in Indonesia for the first time. We use the Wildfire Climate Impacts and Adaptation Model (FLAM) that operates with a daily time step on the grid cell of 0.25 arc degrees, the same spatio-temporal resolution as in the Global Fire Emissions Database v4 (GFED). GFED data accumulated from 2000–2009 are used for calibrating spatially-explicit suppression efficiency in FLAM. Very low suppression levels are found in peatland of Kalimantan and Sumatra, where individual fires can burn for very long periods of time despite extensive rains and fire-fighting attempts. For 2010–2016, we validate FLAM estimated burned area temporally and spatially using annual GFED observations. From the validation for burned areas aggregated over Indonesia, we obtain Pearson’s correlation coefficient separately for wildfires and peat fires, which equals 0.988 in both cases. Spatial correlation analysis shows that in areas where around 70% is burned, the correlation coefficients are above 0.6, and in those where 30% is burned, above 0.9. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | wildfire model burned area tropical forest and peatland Indonesia |
| URL | http://pure.iiasa.ac.at/id/eprint/15379/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131272 |
| 推荐引用方式 GB/T 7714 | Khabarov N,Pirker J,Kraxner F,et al. Modeling Burned Areas in Indonesia: The FLAM Approach.. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| forests-09-00437.pdf（5174KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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