scholarly journals FOREST FIRES IN THE BAIKAL REGION, EASTERN SIBERIA, RUSSIA

2018 ◽  
Vol 8 (4) ◽  
pp. 795-798
Author(s):  
Victor Voronin ◽  
◽  
Gennadii Ruzhnikov ◽  
2020 ◽  
Vol 237 ◽  
pp. 02032
Author(s):  
Yurii S. Balin ◽  
Marina G. Klemasheva ◽  
Grigorii P. Kokhanenko ◽  
Sergey V. Nasonov ◽  
Ioganes E. Penner

The paper presents the results of studies aimed at the analysis and assessment of atmospheric pollution over the Lake Baikal in the summer. This information is necessary to create physical models of the formation and transfer of atmospheric aerosol fields, taking into account the physical and geographical features of the Baikal region. Measurements were carried out by a lidar «LOSA-A2» installed on the scientific-research vessel «Academician V.A. Koptyug». The vessel’s route passed along the South, Middle and Northern Baikal, from July 15, 2018 to July 26, 2018. At the same time, observations were conducted using lidar «LOSA-M2». It was located in the background area at Boyarsky stationary site (51.84° N, 106.06° E), in the south-eastern part of the lake. The results of changes in the spatial structure of atmospheric aerosol fields in background conditions and during forest fires are shown.


CATENA ◽  
2021 ◽  
Vol 196 ◽  
pp. 104817 ◽  
Author(s):  
Viktor Golubtsov ◽  
Maria Bronnikova ◽  
Olga Khokhlova ◽  
Anna Cherkashina ◽  
Sofiia Turchinskaia

2021 ◽  
Author(s):  
Ramesh Glückler ◽  
Elisabeth Dietze ◽  
Josias Gloy ◽  
Ulrike Herzschuh ◽  
Stefan Kruse

<p>Wildfires are an essential ecological process, located at the interface between atmosphere, biosphere, and geosphere. Climate-related changes in their appearance and frequency will shape the boreal forest of tomorrow, the largest terrestrial biome responsible for numerous important ecosystem functions. Changing fire regimes could also increase pressure on fire management and become a threat for humans living in Siberia. However, a lack of long-term fire reconstructions complicates the understanding of the main drivers in the larch-dominated forests of eastern Siberia. At the same time, this lack of long-term understanding also aggravates the validation of fire-vegetation models, and thus predictions of future changes of fire regimes in this vital region.</p><p>Here, we present a new fire module being built for the individual-based, spatially explicit vegetation model LAVESI (<em>Larix</em> Vegetation Simulator). LAVESI is able to simulate fine-scale interactions in individual tree’s life stages and detailed population dynamics, now expanded by the ability of wildfires igniting and damaging biomass. Fire-vegetation simulations were computed around the catchment of Lake Khamra (SW Yakutia), which experienced forest fires in the years 2007 and 2014 according to remote sensing imagery. From the lake, we previously contributed a new, sedimentary charcoal-based fire reconstruction of the late Holocene. Testing the fire module at a current study site, where modern and historic data has already been collected, allows us to improve it, and look into ways in which the fire reconstruction might help inform the model, before eventually scaling it up to cover larger regions. This represents a first step towards a reliable fire-vegetation model, able to predict future impacts of fires on both the forests of eastern Siberia, as well as the humans living there.</p>


2021 ◽  
Vol 6 (1) ◽  
pp. 29-41
Author(s):  
T. I. Drozdova ◽  
E. V. Sorokovikova

The urgency of the ecological problem of natural forest fires in Russia, especially in rich forests of Eastern Siberia, makes it necessary to study their features, consequences, and measures to combat them. The aim of the article is to assess the state of forest fires in Irkutsk region over the last ten years. Based on the statistical data of monitoring in 33 districts, the dynamics of fires was studied, and areas affected by fires were identified. The largest number of fires was revealed in Irkutsk and Bratsk districts. The fire rate was assessed by districts in fire hazardous periods, and the largest fire rate was identified in Bratsk, Kachug, Irkutsk, and Katanga districts. The fire indicators for 2019 were compared with the average indicators for each district. A comparative analysis of the forest fire situation in Irkutsk region and its districts was carried out. Recommendations on possible firefighting measures were provided.


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