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Forests 2018, 9(7), 437;

Modeling Burned Areas in Indonesia: The FLAM Approach

Ecosystems Services & Management (ESM) Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
Author to whom correspondence should be addressed.
Received: 20 June 2018 / Revised: 16 July 2018 / Accepted: 18 July 2018 / Published: 20 July 2018
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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. View Full-Text
Keywords: wildfire model; burned area; tropical forest and peatland; Indonesia wildfire model; burned area; tropical forest and peatland; Indonesia

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Krasovskii, A.; Khabarov, N.; Pirker, J.; Kraxner, F.; Yowargana, P.; Schepaschenko, D.; Obersteiner, M. Modeling Burned Areas in Indonesia: The FLAM Approach. Forests 2018, 9, 437.

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