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Characteristics of the spatial and temporal distribution of fire regime in ONE OF the most fire prone Region Of The Russian Far East

https://doi.org/10.24057/2071-9388-2020-159

Abstract

Wildfires affect the structure and distribution of vegetation all over the globe and have their own specifics in different regions. In this study, we considered the spatial and temporal distribution of fires in the Jewish Autonomous Region (JAR), which is the most fire-prone area of the Russian Far East. Using data from the Department of Natural Resources of the Jewish Autonomous Region, fires and burned areas for more than 40 years were analyzed. The average annual number of fires is near 100, and the average area of one fire is 134 hectares, which is significantly higher compared to other regions of Russia. The largest number of fires and fires with the greatest extent took place in 1975. The intra-annual distribution of fires is bimodal and depends on the climate characteristics of the region. Mapping of burning areas showed that most of the fires occurred near settlements and along roads. The main centers of fire ignition were areas with a large number of small fires (no more than 5 hectares), located within several types of locations: (1) asphalt and dirt roads, railroads and river valleys near settlements; (2) areas of former logging that have several large burned spots of more than 300 hectares; (3) plains with a high concentration of fires over a large region; and (4) small burned spots on the mountain slopes, along the field roads and small rivers. Regions with different degree of fire exposure were identified. Sedge-reed mixed grassy meadows and Agricultural land with shaded meadows are the plant formations most prone to wildfires. At the same time, more fires were detected in Cedar-deciduous forests as well as Oak and black birch forests. The findings are useful for environmental protection agencies in planning fire management strategies, optimizing the fire services and firefighting actions.

About the Authors

Anna M. Zubareva
Institute for Complex Analysis of Regional Problems, Far Eastern Branch Russian Academy of Sciences
Russian Federation


Vladimir A. Glagolev
Institute for Complex Analysis of Regional Problems, Far Eastern Branch Russian Academy of Sciences
Russian Federation


Elena A. Grigorieva
Institute for Complex Analysis of Regional Problems, Far Eastern Branch Russian Academy of Sciences
Russian Federation


References

1. Baranovskiy N.V., Barakhnin V., Yankovich E. (2017). GIS-Technologies and mathematical simulation as tools for lightning-caused forest fire danger prediction CEUR Workshop Proceedings, 1839, 2-15, DOI: 10.1117/12.2241670.

2. Baranovskiy N.V., Kogan R.M., Glagolev V.A., Zubareva A.M. (2017). Grassland fire spread simulation using NDVI data. In Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104663B, DOI: 10.1117/12.2286782.

3. Bartalev S.A., Stytsenko F.V., Khvostikov S.A., Lupyan E.A. (2017). Methodology for monitoring and predicting pyrogenic forest destruction based on satellite observation data. Current Problems in Remote Sensing of the Earth from Space, 14(6), 176-193, DOI: 10.21046/2070-7401-2017-14-6-176-193.

4. Diaz-Delgado R., Lloret F., Pons X. (2004). Spatial patterns of fire occurrence in Catalonia, NE, Spain. Landscape Ecology 19 (7), 731-745, DOI: 10.1007/s10980-005-0183-1.

5. Dichenkov N.A. (1997). Assessment of the risk of large-scale forest fires. Forestry, 4, 46-48. (in Russian).

6. Doroshenko A.M., Kogan R.M. (2008). Analysis of the spatial distribution of forest fires on the territory of the Jewish Autonomous Region. Bulletin of the Tomsk State University, 311, 172-177 (in Russian).

7. Dupuy J.l., Fargeon H., Martin-StPaul N. et al. (2020). Climate change impact on future wildfire danger and activity in southern Europe: a review. Annals of Forest Science, 77, 35, DOI: 10.1007/s13595-020-00933-5.

8. Forest complex of the Far East of Russia: an analytical review (2005). A.S. Sheinghous (Ed.). Vladivostok, Khabarovsk, 160 (in Russian).

9. Frantz D., Stellmes M., Roder A., Hill J. (2016). Fire spread from MODIS burned area data: obtaining fire dynamics information for every single fire. Int. J. Wildland Fire, 25(12), 1228-1237, DOI: 10.1071/WF16003.

10. Glagolev V. (2017). Method foe prediction of the initiation and distribution of herbal fire. Technology of technospheric security, 4(74), 132-140 (in Russian).

11. Glagolev V.A., Zubareva A.M., Grigorieva E.A. (2018). Grassfire forecast at agricultural lands in Jewish Autonomous Region. Regional Problems, 21,3(1), 93-97, DOI: 10.31433/1605-220Х-2018-21-3(1)-93-97.

12. Goncalves Z.J., Lourenco L. (1990). Meteorological index of forest fire risk in the Portuguese mainland territory Proceedings of the international conference on forest fire research, Coimbra, 7, 1.

13. Grigorieva E.A., de Freitas C.R. (2014). Temporal dynamics of precipitation in an extreme mid-latitude monsoonal climate. Theor. Appl. Climatol., 116(1), 1-9, DOI:10.1007/s00704-013-0925-x.

14. Grigorieva E.A., Kogan R.M. (2010). Pirological characteristic of climate at the southern part of the Russian Far East. Regional Problems, 13(2), 78-81.

15. Heikinheimo M. (1998). Renewing the system for forest fire risk assessment at the Finnish Meteorological Institute International Forest Fire News, 18, 65-67.

16. Weather of Russia - weather forecast, actual weather conditions (1997). Weather archive. http://meteo.infospace.ru [20.05.2019]

17. Weather and detailed weather forecast from the Hydrometeorological Center of Russia (2003). Factual data. http://meteoinfo.ru [20.05.2019]

18. Kogan R.M., Glagolev V.A. (2014). Features of fire-dangerous seasons in the Khabarovsk Territory and the Jewish Autonomous Region. Fundamental Research, 9(7), 1549-1553. (in Russian).

19. Kourmpa E., Tsigdinos S. (2020). Detection of fire-prone areas in Attica region integrating urban and transport aspect. Geography, Environment, Sustainability, 13(3), 84-89, DOI: 10.24057/2071-9388-2019-148.

20. Kurbatsky N.P., Tsvetkov P.A. (1986). Protection of forests from fires in areas of intensive development (for example, KATEK). Krasnoyarsk, 146. (in Russian).

21. Linacre E. Predicting bushfires in Australia. URL: http://www-as.uwyo.edu/~geerts/cwx/notes/chap16/oz_bush.html [Assessed on February, 05, 2021].

22. Montz B., Tobin G., Hagelman R. (2017). Natural hazards: explanation and integration. The Guilford press, New York, 445.

23. Noon E.K. (2003). A coupled model approach for assessing fire hazard at point Reyes national seashore: flam map and GIS. Proceedings of the 2nd International wildland fire ecology and fire management congress, Springs Resort.

24. Oliveira S.L.J., Pereira J.M.C., Carreiras J.M.B. (2012). Fire frequency analysis in Portugal (1975-2005), using Landsat-based burnt area maps. Int. J. Wildland Fire, 21 (1), 48-60, DOI: 10.1071/WF10131.

25. Parisien M.-A., Snetsinger S., Greenberg J.A., Nelson C.R., Schoennagel T., Dobrowski S.Z., Moritz M.A. (2012). Spatial variability in wildfire probability across the western United States. Int. J. Wildland Fire, 21(4), 313-327. DOI: 10.1071/WF11044.

26. Preisler H.K., Riley K.L., Stonesifer C.S., Calkin D.E., Jolly W.M. (2016). Near-term probabilistic forecast of significant wildfire events for the Western United States. Int J Wildland Fire, 25 (11), 1169-1180, DOI: 10.1071/WF16038.

27. Radke J. (1995). Modeling urban/wildland interface fire hazards within a geographic information system, Geographic Information Sciences, 1(1), 9-21.

28. Rogeau M.-P, Flannigan M.D., Hawkes B.C., Parisien M.-A., Rick A. (2016). Spatial and temporal variations of fire regimes in the Canadian Rocky Mountains and Foothills of southern Alberta. Int. J. Wildland Fire, 25(11), 1117-1130, DOI: 10.1071/WF15120.

29. Rubtsova Т.А. (2016). Types of Vascular Plants Described from the Territory of the Jewish Autonomous Region as New to Science. Regional Problems, 19(3), 32-37 (in Russian).

30. Salis M., Arca B., Arianoutsou F., et al. (2016). Predicting wildfire spread and behaviour in Mediterranean landscapes. Int. J. Wildland Fire, 25(10), 1015-1032, DOI: 10.1071/WF15081.

31. Sheshukov M.A. (1982). Forest fire district of the Far East. Khabarovsk (in Russian).

32. Sheshukov M.A., Brusova E.V., Gromyko S.A., Pozdnyakova V.V. (2009). Conservation and protection of the forest. In: The current state of the forests of the Russian Far East and the prospects for their use, M.A. Sheshukov (Ed.), Khabarovsk, DalNIILKH, 470. (in Russian).

33. Sofronov M.A., Volokitina A.V. (1990). Pyrological zoning in the taiga zone. Novosibirsk, 205 (in Russian).

34. Sommers W.T., Coloff S.G., Conard S.G. (2012). Synthesis of knowledge: fire history and climate change. Final report to the Joint Fire Science Program, JFSP Project 09-02-1-09.

35. Starodumov A.M. (1965). Scale of fire hazard of plantings and other categories of areas for the conditions of the Far East. Khabarovsk: DalNIILKh (in Russian).

36. Stephens S.L., Burrows N., Buyantuyev A., Gray R.W., Keane R.E., Kubian R., Liu S., Seijo F., Shu L., Tolhurst K.G., van Wagtendonk J.W. (2014). Temperate and boreal forest mega-fires: characteristics and challenges. Frontier Ecol. Environ., 12(2), 115-122, DOI: 10.1890/120332.

37. Telitsyn G.P. (1988). Forest fires, their prevention and extinguishing in the Khabarovsky Krai. Khabarovsk, p. 95 (in Russian).

38. Tian X., Shu L., Wang M., Zhao F., Chen L. (2013a). The fire Danger and Fire Regime for the Daxing'anling Region for 1987-2010. Procedia Engineering, 62, 1023-1031, DOI: 10.1016/j.proeng.2013.08.157.

39. Tian X., Zhao F., Shu L., Wang M. (2013b). Distribution characteristics and the influence factors of forest fires in China. Forest. Ecol. Management, 310, 460-467, DOI: 10.1016/j.foreco.2013.08.025.

40. Viegas X.D., Bovio G., Ferreira A., Nosenzo A., Sol B. (1999). Comparative study of various methods of fire danger evaluation in southern Europe. Int. J. Wildland Fire, 9(4), 235-246, DOI: 10.1071/WF00015.

41. Yi K., Bao Y., Zhang J. (2016). Spatial distribution and temporal variability of open fire in China. Int. J. Wildland Fire, 26 (2), 122-135, DOI: 10.1071/WF15213.

42. Zubareva A.M. (2016). Fire rate of vegetation in the natural-territorial complexes of the Jewish Autonomous Region, In the book: Modern problems of regional development. Abstracts of the VI International Scientific Conference. Birobidzhan, ICARP FEB RAS, 18-21 (in Russian).

43. Zumbrunnen T., Menendez P, Bugmann H., Conedera M., Gimmi U., BQrgi M. (2012). Human impacts on fire occurrence: a case study of hundred years of forest fires in a dry alpine valley in Switzerland. Reg. Environ. Change, 12 (4), 935-949, DOI: 10.1007/s10113-012-0307-4.


Review

For citations:


Zubareva A.M., Glagolev V.A., Grigorieva E.A. Characteristics of the spatial and temporal distribution of fire regime in ONE OF the most fire prone Region Of The Russian Far East. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2021;14(2):74-82. https://doi.org/10.24057/2071-9388-2020-159

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