eLibrary
  • Home
  • Sources
  • Search
  • About

Analysis of Fire Scars Spatiotemporal Distribution and Carbon Emission in the Southeast Siberia Permafrost Degradation Area

Zhichao Xu, Yunshan Chen, Yuexing Wu
Frontiers in Science and Engineering, (2023), Vol.3, No.2, pp.1-10
Published: February 20, 2023
DOI: 10.54691/fse.v3i2.3659
PDF: Download Full Text PDF
Abstract

Affected by climate change and other factors, global fires occur frequently, and the fire burning area in the high latitude permafrost region with low temperature is gradually expanding. The occurrence of fire will cause a large amount of carbon to be released into the air, which will further exacerbate global climate change. Through the fourth edition of the Global Fire Emissions Database (GFED), this paper analyzes the burning area and carbon emissions in the permafrost region of southeast Siberia from 1997 to 2020. The results show that the global carbon emissions from fires are mainly grassland and shrub fires, agricultural waste burning, northern forest fires, and tropical forest deforestation and degradation. The changes of grassland and shrub fires are relatively stable, and the burning area of agricultural waste has decreased, while the northern forest fires, especially in the northern North America and the Siberian permafrost region, have increased and increased rapidly in recent years. Further analysis of southeast Siberia shows that the fire burning area in southeast Siberia is mainly concentrated in spring (March to May) and autumn (September to November), of which the fire burning area in spring (March to May) is the largest, and the fire burning area in spring is 3.5 times of that in autumn. The gradually rising air temperature and gradually thawing carbon will become an important driving force of north forest fires. The occurrence of fire will further form positive feedback on climate change by affecting soil microorganism and soil structure, etc. Therefore, for sensitive areas such as southeast Siberia permafrost degradation area, targeted fire warning and management mechanisms need to be established to effectively reduce the risk of wildfire.

Keywords: Southeast Siberia; Permafrost Degradation Area; Fire Scars; Carbon Emissions.
APA Citation: Zhichao Xu, Yunshan Chen, Yuexing Wu (2023). Analysis of Fire Scars Spatiotemporal Distribution and Carbon Emission in the Southeast Siberia Permafrost Degradation Area. Frontiers in Science and Engineering, 3(2), 1-10. https://doi.org/10.54691/fse.v3i2.3659

References

  1. Kirchmeier-Young M. C., Gillett N. P., Zwiers F.W. et al. Attribution of the Influence of Human-Induced Climate Change on an Extreme Fire Season. Earth’s Future 7, 2-10 (2019).
  2. Giovanni D. V., Jason P. E., Stephanie A. P. B. et al. Climate Change Increases the Potential for Extreme Wildfires. Geophysical Research Letters 46, 8517-8526 (2019).
  3. Christopher J. D., Christopher D. O., Jesse A. et al. Wildfire risk science facilitates adaptation of fire-prone socialecological systems to the new fire reality. Environmental Research Letters 15, 1-13 (2020).
  4. Ellen W., Kate S., Eric R. Increasing daily wildfire risk in the Acadian Forest Region of Nova Scotia, Canada, under future climate change. Regional Environmental Change 15, 1447-1459 (2015).
  5. Gao C., Lin H.L., Hu H.Q., et al. A review of models of forest fire occurrence prediction in China. Chinese Journal of Applled Ecology 1, 1-15 (2020). (In Chinese)
  6. Sukhinin A. I., French N. H. F., Kasischke E. S. et al. AVHRR based mapping of fires in Russia: new products for fire management and carbon cycle studies. Remote Sens Environ 93, 546-564 (2004).
  7. Tan Z., Tieszen L. L., Zhu Z. et al. An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin. Carbon Balance Manag 2, 12 (2007).
  8. Flannigan M., Stocks B., Turetsky M. et al. Impacts of climate change on fire activity and fire management in the circumboreal forest. Glob Chang Biology 15, 549-560 (2009).
  9. Davidson E. A., Janssens I. A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440, 165-173 (2006).
  10. Jobbagy E. G., Jackson R. B. The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecological. Applications. 10, 423–436 (2000).
  11. Schädel C., Bader M. K. F., Schuur E. A. G. et al. Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils. Nature Climate Change 6, 950–953 (2016).
  12. Schuur E. A. G., McGuire A. D., Schädel C., et al. Climate change and the permafrost carbon feedback. Nature 520, 171–179 (2015).
  13. Jeong S.-J., Bloom A. A., Schimel D.,et al. Accelerating rates of Arctic carbon cycling revealed by long-term atmospheric CO2 measurements. Science Advances. 4, eaao1167 (2018).
  14. van der Werf G. R., Randerson J. T., Giglio L., et al. Global fire emissions estimates during 1997–2016. Earth System Science Data 9, 679–720 (2017).
  15. Mack M. C., Bret-Harte M. S., Hollingsworth T. N., et al. Carbon loss from an unprecedented Arctic tundra wildfire. Nature 475, 489–492 (2011).
  16. Turetsky M. R., Benscoter B., Page S., et al. Global vulnerability of peatlands to fire and carbon loss. Nature Geoscience. 8, 11–14 (2015).
  17. Soja A. J., Cofer W. R., Shugart H. H. et al. Estimating fire emissions and disparities in boreal Siberia (1998-2002). Journal of Geophysical Research Atmospheres 109, D14S06 (2004).
  18. Soja A. J., Sukhinin A. I., Cahoon Jr. D. R. et al. AVHRR-derived fire frequency, distribution and area burned in Siberia. International Journal of Remote Sensing 25, 1939-1960 (2004).
  19. Ponomarev E. I., Kharuk V. I., Ranson K. J. Wildfires dynamics in Siberian larch forests. Forests 7, 125 (2016).
  20. Kim Y., Tanaka N. Effect of forest fire on the fluxes of CO2, CH4 and N2O in boreal forest soils, interior Alaska. Journal of Geophysical Research-Atmospheres 108, D18154 (2003).
  21. Lindenmayer D. B. Integrating forest biodiversity conservation and restoration ecology principles to recover natural forest ecosystems. New Forests 50, 169-181 (2019).
  22. Giglio, L., van der Werf, G. R., Randerson, J. T. et al. Global estimation of burned area using MODIS active fire observations, Atmospheric Chemistry & Physics 6, 957–974, 2006.
  23. Wander werf, G. R., Randerson, J. T., Giglio, L. et al. Interannual variability in global biomass burning emissions from 1997 to 2004, Atmospheric Chemistry & Physics 6, 3423-3441 (2006).
  24. Randerson J. T., Chen Y., van der Werf G. R., Rogers B. M., et al. Global burned area and biomass burning emissions from small fires. Journal of Geophysical Research 117, G04012 (2012).
  25. Warneke C., Bahreini R., Brioude J., et al. Biomass burning in Siberia and Kazakhstan as an important source for haze over the Alaskan Arctic in April 2008. Geophysical Research Letters 36, L02813 (2009).
  26. Wang C. J., Shan M. N., Hu Z. G. et al. Multi-spectral remote sensing based land surface temperature retrieval and isolated permafrost zone segmentation. Infrared and Laser Engineering, 44, 1390-1396 (2015). (In Chinese)
  27. Jaroslav O., Sebastian W., Annett B. et al. Northern Hemisphere permafrost map based on TTOP modelling for 2000-2016 at 1 km2 scale. Earth-Science Reviews 193, 299-316 (2019).
© 2026 eLibrary · Stand on the shoulders of giants