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10 August 2022

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Integrating Field and Satellite Data for Improved Estimation of Fuel Consumption and Carbon Emissions in Siberia †

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1
V.N. Sukachev Institute of Forest of the Siberian Branch of the Russian Academy of Sciences, Separate Subdivision of the FRC KSC SB RAS, 660036 Krasnoyarsk, Russia
2
The Branch of FBU VNIILM “Centre of Forest Pyrology”, 660062 Krasnoyarsk, Russia
*
Author to whom correspondence should be addressed.
†
Presented at the Third International Conference on Fire Behavior and Risk, Sardinia, Italy, 3–6 May 2022.

Abstract

Wildfires are one of the most important disturbance factors in Siberia, covering up to 30 Mha annually. Carbon emissions vary greatly depending on the ecosystem type and fire severity. The fuel load and structure in different ecosystems are fundamental drivers of fire behavior and are of high importance to accurately estimate wildland fire emissions and their contribution to the regional and global carbon balance. We developed fuel load maps for the Krasnoyarsk region in central Siberia by integrating field and satellite data with respect to the forest-growing conditions and the disturbance of the territory via anthropogenic and natural factors (e.g., fires, logging, and insects). We found a drastic increase in fuel loads for some Siberian regions, with most disturbed by logging over the last two decades. This resulted in an increase in fire hazards and severity, as well as a higher amount of fuel consumed and of carbon emitted to the atmosphere.

Author Contributions

Conceptualization, E.K.; methodology, E.K., L.B. and E.S.; software, E.S.; validation, E.K., L.B. and E.S.; formal analysis, E.K., L.B. and E.S.; investigation, E.K., L.B., E.S., S.Z. and A.P.; resources, E.K.; data curation, E.K.; writing—original draft preparation, E.K.; writing—review and editing, E.K.; supervision, E.K.; project administration, E.K.; funding acquisition, E.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the RFBR, the Government of the Krasnoyarsk Krai, and the Krasnoyarsk regional foundation of scientific and scientific-technical support (Grant #20-44-242004).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data that support the findings of this research are available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.
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