- Issue
- Journal of Siberian Federal University. Biology. 2014 7 (1)
- Authors
- Valendik, Erik N.; Verkhovets, Sergey V.; Ponomarev, Eugene I.; Ryzhkova, Vera A.; Kisilyakhov, Yegor K.
- Contact information
- Valendik, Erik N.:V.N. Sukhachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia; Verkhovets, Sergey V.:V.N. Sukhachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia; Siberian Federal University, 79 Svobodny, Krasnoyarsk, 660041, Russia; Ponomarev, Eugene I.:V.N. Sukhachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia; Ryzhkova, Vera A.:V.N. Sukhachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia; Kisilyakhov, Yegor K.:V.N. Sukhachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia;E-mail:
- Keywords
- large1 and catastrophic2 forest fires; droughts; extreme fire season
- Abstract
The work deals with the nature of large wildfires, conditions of their occurrence and distribution in the taiga of Central Siberia. The large fires in this region occur during periods of prolonged and intense drought, with precipitation deficit more than 60 % of the norm. Vegetation and climate conditions of large fires are identified and map of their distribution is compiled using satellite information. Fire seasons scenarios are examined, and an iterative model for short-term forecasting of extreme fire situations is proposed. Methodology for short-term forecasting of large wildfires risk is offered based on satellite data simultaneously on the whole territory of Central Siberia
- Pages
- 43-56
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/13341
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).