Abstract

Forest fires in Siberia have a significant effect on the global carbon balance. It is therefore of interest to study the environmental factors that may be responsible for their variability. Here we examine variability in the annual number of forest fire scars at a spatial scale of 2.5°. This is decomposed statistically into a spatio–temporal component correlated with low summer rainfall, a spatial component correlated with population density and a temporal component correlated with the Arctic Oscillation. Data come from ten years of satellite–derived data, incorporating both the number of forest fire scars and monthly rainfall. The expected number of fire scars halves for each additional 0.35 mm per day of rainfall in the period April–July. Our findings may prove useful in parameterising both fire models within climate simulations and fire warning systems based on numerical weather predictions of regional dry anomalies.

Highlights

  • [1] Forest fires in Siberia have a significant effect on the global carbon balance

  • Total direct carbon emissions in boreal Siberia ranged from 116 Tg C in 1999 to 520 Tg C in 2002 [Soja et al, 2004]

  • This is equivalent to 5% and 20%, respectively, of the total global carbon emissions from forest and grassland burning

Read more

Summary

Full Article

A statistical model linking Siberian forest fire scars with early summer rainfall anomalies. We examine variability in the annual number of forest fire scars at a spatial scale of 2.5°. This is decomposed statistically into a spatio– temporal component correlated with low summer rainfall, a spatial component correlated with population density and a temporal component correlated with the Arctic Oscillation. Data come from ten years of satellite –derived data, incorporating both the number of forest fire scars and monthly rainfall. The expected number of fire scars halves for each additional 0.35 mm per day of rainfall in the period April – July. T. George (2006), A statistical model linking Siberian forest fire scars with early summer rainfall anomalies, Geophys.

Introduction
Results
Findings
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.