ASSESSMENT OF THE VEGETATION COVER CONDITIONS FOR THE CENTRAL PART OF THE MURMANSK REGION BASED ON FIELD AND REMOTE SENSING DATA
Abstract
Research of the forest ecosystems dynamics of northwestern Russia on the Kola Peninsula (the Imandra Lake watershed) under the influence of strong anthropogenic impacts caused by the industrial complex “Severonikel” over the last 70 years was carried out. Statistical analysis was used for comparison and interpolation of field data, multispectral remote sensing data (MRSD), and digital elevation model (DEM). From this analysis, the classification of natural and anthropogenic classes of the vegetation and land cover was developed; the model highlighted the key driving forces behind the spatial differentiation of vegetation (altitudinal climate gradients, anthropogenic disturbance, water supply, and development of the natural vegetation communities). In addition, the map of the current vegetation conditions at a scale of 1:100 000 was created. This map characterizes the large part of the Lapland Nature Reserve, the territory of the Khibiny mountains, as well as the polluted area near the metallurgical plant.
About the Authors
Michael PuzachenkoRussian Federation
Senior scientist, Institute of Geography of the Russian Academy of Sciences, Moscow, Russia, Staromonetny str., 29, 119017
Tatyana Chernenkova
Russian Federation
Leading scientist, Centre for Forest Ecology and Production of the Russian Academy of Sciences, Moscow, Russia, Profsoyuznaya str., 84/32, 117997
References
1. Bartalev, S.S., Malinnikov, V.A. (2006). Mutual layer luminosity normalization of satellite
2. images with regional mapping of forests. In: News of higher education, special issue,
3. pp. 83–92 (in Russian).
4. Chernenkova, T.V., Basov, E.V., Bochkarev, Y.N., Puzachenko, M.Y. (2009). Assessment of forest
5. biodiversity in the area of influence of the metallurgical complex “Severonikel”. In: J.
6. Lesovedenie, vol. 6, pp. 38–45. (in Russian).
7. Chernenkova, T.V., Kabirov, R.R., Basova, E.B. (2011). Restoration succession of North Taiga
8. spruce forests at lower anthropogenic impact. In: J. Lesovedenie, vol. 6, pp. 49–56 (in
9. Russian).
10. Electronic statistics textbook. (2001). M.: StatSoft, Inc., Retrieved from http://www.statsoft.ru/
11. Koroleva, N.E. (2009). Vegetation of the Murmansk region as a component of Biodiversity.
12. In: Report of MSTU, 1, vol. 12, pp. 153–166 (in Russian).
13. Koroleva, N.E. (2011). The main biotopes of north taiga and subarctic birch forests in Murmansk
14. region: landscape and botanic diversity, reasons for reservation. In: News of MGTU,
15. , vol. 4, pp. 819–832 (in Russian).
16. Kozlov, D.N., Puzachenko, M.Y., Fedayaeva, M.N., Puzachenko, Y.G. (2008). Assessment of
17. the spatial variation of properties of landscape cover based on distance information and
18. digital elevation models. In: Proceedings of the Russian Academy of Sciences. Series of
19. Geographic, vol. 4, pp. 112–124 (in Russian).
20. McRober, R.E. (2006). A model-based approach to estimating forest area. In: Remote Sensing
21. of Environment, vol. 103, pp. 56–66.
22. Neshataev, V.Y., Neshataeva, V.Y. (2002). Sintaksonomic variety of pine forests of the Lapland
23. nature reserve. In: Botanic Journes. 1, vol. 87, pp. 99–106 (in Russian).
24. Puzachenko, M.Y., Kotlov, I.P., Chernenkova, T.V. (2008). Technological scheme of monitoring
25. natural objects using remote sensing and GIS-technologies. In: Monitoring of forest
26. biodiversity in Russia: methodology and methods. Ed. by A. Isaev. Moscow, Nauka Publ.,
27. pp. 347–355 (in Russian).
28. Puzachenko, M.Yu., Puzachenko, Yu.G. (2008). The multifunctional analysis of vegetation.
29. Man and environment in boreal forest zone: past, present and future. International Conference,
30. July 24–29, 2008 Central Forest State Natural Biosphere Reserve, Russia. Ed. by E.Yu.
31. Novenko, I.I. Spasskaya, A.V. Olchev; Institute of Geography RAS, A.N. Severtsov Institute
32. for Ecology and evolution RAS. Moscow, pp. 83–85 (in Russian).
33. Puzachenko, Y.G. (1997). Application of fractals theory to the study of the structure of the landscape.
34. J. News of the Russian Academy of Sciences. Series of Geographic., 2 (in Russian).
35. Puzachenko Y.G. (2004). Mathematical methods in ecological and geographical studies.
36. Moscow, ACADEMA Publ., 416 p. (in Russian).
37. The diversity of plants, lichens and cianoprokaryotes of the Murmansk oblast: outcome
38. of the study and prospects of protection. Ed. by N.A. Constantinova. 2009. S.-Pb. 119 p.
39. (in Russian).
40. The Landsat system description. www.landsat.org
41. Tomppo E., Olsson H., Ståhl G., Nilsson M., Hagner O., & Katila M. (2008). Combining national
42. forest inventory field plots and remote sensing data for forest databases. In: Remote
43. Sensing of Environment, vol. 112, pp. 1982–1999.
44. Turcotte Donald L. (1997). Fractals and Chaos in Geology and Geophysics. Second edition.
45. Cambridge Un. Press, 398 p.
Review
For citations:
Puzachenko M., Chernenkova T. ASSESSMENT OF THE VEGETATION COVER CONDITIONS FOR THE CENTRAL PART OF THE MURMANSK REGION BASED ON FIELD AND REMOTE SENSING DATA. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2012;5(3):4-13. https://doi.org/10.24057/2071-9388-2012-5-3-4-13
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