Increasing Fuel Loads, Fire Hazard, and Carbon Emissions from Fires in Central Siberia

The vast Angara region, with an area of 13.8 million ha, is located in the southern taiga of central Siberia, Russia. This is one of the most disturbed regions by both fire and logging in northern Asia. We have developed surface and ground fuel-load maps by integrating satellite and ground-based data with respect to the forest-growing conditions and the disturbance of the territory by anthropogenic and natural factors (fires and logging). We found that from 2001 to 2020, fuel loads increased by 8% in the study region, mainly due to a large amount of down woody debris at clearcuts and burned sites. The expansion of the disturbed areas in the Angara region resulted in an increase in natural fire hazards in spring and summer. Annual carbon emissions from fires varied from 0.06 to 6.18 Mt, with summer emissions accounting for more than 95% in extreme fire years and 31–68% in the years of low fire activity. While the trend in the increase in annual carbon emissions from fires is not statistically significant due to its high interannual variability and a large disturbance of the study area, there are significantly increasing trends in mean carbon emissions from fires per unit area (p < 0.005) and decadal means (p < 0.1). In addition, we found significant trends in the increase in emissions released by severe fires (p < 0.005) and by fires in wetter, dark, coniferous (spruce, p < 0.005 and Siberian pine, p < 0.025) forests. This indicates deeper burning and loss of legacy carbon that impacts on the carbon cycle resulting in climate feedback.

[1]  J. Randerson,et al.  Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED) , 2022, Geoscientific Model Development.

[2]  Kevin T. Smith,et al.  Wildfires in the Siberian Arctic , 2022, Fire.

[3]  Lei Wang,et al.  Global Trends of Forest Loss Due to Fire From 2001 to 2019 , 2022, Frontiers in Remote Sensing.

[4]  B. Rogers,et al.  Climate change, fire return intervals and the growing risk of permanent forest loss in boreal Eurasia. , 2022, The Science of the total environment.

[5]  Anna C. Talucci,et al.  Siberian taiga and tundra fire regimes from 2001–2020 , 2022 .

[6]  V. Ivanov,et al.  Assessment of Fire Hazard and Its Dynamics in Forest Areas of Siberia , 2021, Contemporary Problems of Ecology.

[7]  B. Rogers,et al.  Increasing fire and logging disturbances in Siberian boreal forests: a case study of the Angara region , 2021, Environmental Research Letters.

[8]  S. Veraverbeke,et al.  Direct and longer-term carbon emissions from arctic-boreal fires: A short review of recent advances , 2021 .

[9]  S. Conard,et al.  Current Trend of Carbon Emissions from Wildfires in Siberia , 2021, Atmosphere.

[10]  V. Kharuk,et al.  Wildfires in the Siberian taiga , 2021, Ambio.

[11]  V. Ivanov,et al.  ESTIMATING OF GREENHOUSE GAS EMISSIONS FROM FIRES IN LIGHT CONIFEROUS FORESTS OF THE LOWER ANGARA REGION , 2021, Сибирский лесной журнал.

[12]  S. Georgy,et al.  Russian forests and climate change , 2020, What Science Can Tell Us.

[13]  M. Gałka,et al.  Recent fire regime in the southern boreal forests of western Siberia is unprecedented in the last five millennia , 2020 .

[14]  J. Abatzoglou,et al.  Vegetation fires in the Anthropocene , 2020, Nature Reviews Earth & Environment.

[15]  Michael Abrams,et al.  ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD) , 2020, Remote. Sens..

[16]  Wanglin Yan,et al.  Consideration of anthropogenic factors in boreal forest fire regime changes during rapid socio-economic development: case study of forestry districts with increasing burnt area in the Sakha Republic, Russia , 2020, Environmental Research Letters.

[17]  H. Balzter,et al.  Postfire recruitment failure in Scots pine forests of southern Siberia , 2020, Remote Sensing of Environment.

[18]  V. Ivanov,et al.  Fuel characteristics, loads and consumption in Scots pine forests of central Siberia , 2019, Journal of Forestry Research.

[19]  S. Goetz,et al.  Increasing wildfires threaten historic carbon sink of boreal forest soils , 2019, Nature.

[20]  Jana Albrechtová,et al.  Northern Eurasia Future Initiative (NEFI): facing the challenges and pathways of global change in the twenty-first century , 2017, Progress in Earth and Planetary Science.

[21]  J. Randerson,et al.  Global fire emissions estimates during 1997–2016 , 2017 .

[22]  F. Hu,et al.  Climatic thresholds shape northern high‐latitude fire regimes and imply vulnerability to future climate change , 2017 .

[23]  E. Kukavskaya,et al.  Transformation of the ground cover after surface fires and estimation of pyrogenic carbon emissions in the dark-coniferous forests of Central Siberia , 2017, Contemporary Problems of Ecology.

[24]  L. Band,et al.  Planning for an uncertain future: Restoration to mitigate water scarcity and sustain carbon sequestration , 2017 .

[25]  Elena Kukavskaya,et al.  The impact of increasing fire frequency on forest transformations in southern Siberia , 2016 .

[26]  C. Justice,et al.  The collection 6 MODIS active fire detection algorithm and fire products , 2016, Remote sensing of environment.

[27]  Emilio Chuvieco,et al.  Generation of a global fuel data set using the Fuel Characteristic Classification System , 2015 .

[28]  M. Turetsky,et al.  Fuel load, structure, and potential fire behaviour in black spruce bogs , 2015 .

[29]  F. Siegert,et al.  Biomass burning fuel consumption rates: a field measurement database , 2014 .

[30]  M. Hansen,et al.  Remote sensing estimates of stand-replacement fires in Russia, 2002–2011 , 2014 .

[31]  C. Justice,et al.  High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.

[32]  A. Soja,et al.  Fire emissions estimates in Siberia: evaluation of uncertainties in area burned, land cover, and fuel consumption , 2013 .

[33]  D. Mcrae,et al.  Influence of logging on the effects of wildfire in Siberia , 2013 .

[34]  B. Butler,et al.  Quantifying the effect of fuel reduction treatments on fire behavior in boreal forests , 2013 .

[35]  A. Perera,et al.  Expert Knowledge and Its Application in Landscape Ecology , 2012, Springer New York.

[36]  Sorin C. Popescu,et al.  Mapping surface fuel models using lidar and multispectral data fusion for fire behavior , 2008 .

[37]  F. Achard,et al.  Areas of rapid forest-cover change in boreal Eurasia , 2006 .

[38]  Yu. N. Samsonov,et al.  Variability of Fire Behavior, Fire Effects, and Emissions in Scotch Pine Forests of Central Siberia , 2006 .

[39]  Paul E. Gessler,et al.  Characterizing and mapping forest fire fuels using ASTER imagery and gradient modeling , 2005 .

[40]  W. R. Cofer,et al.  Estimating fire emissions and disparities in boreal Siberia (1998–2002) , 2004 .

[41]  P. Goovaerts,et al.  Uncertainty in estimating carbon emissions from boreal forest fires , 2004 .

[42]  R. Keane,et al.  MAPPING FUELS AND FIRE REGIMES USING REMOTE SENSING, ECOSYSTEM SIMULATION, AND GRADIENT MODELING , 2004 .

[43]  Eric S. Kasischke,et al.  Fire, Climate Change, and Carbon Cycling in the Boreal Forest , 2000, Ecological Studies.

[44]  J. Goldammer,et al.  Fire in Ecosystems of Boreal Eurasia , 1996, Forestry Sciences.

[45]  B. A. Wilson,et al.  Landsat MSS Classification of Fire Fuel Types in Wood Buffalo National Park, Northern Canada , 1994 .

[46]  Van Wagner.  The Line Intersect Method in Forest Fuel Sampling , 1968 .