CARBON BALANCE OF FOREST ECOSYSTEMS UNDER GLOBAL WARMING: LANDSCAPE-ECOLOGICAL PREDICTIVE MODELING
https://doi.org/10.24057/2071-9388-2011-4-1-69-85
Abstract
This paper presents the results of application of landscape-ecological methods for evaluation of biotic regulation of the carbon cycle in forest ecosystems. Methods for constructing analytical and cartographic empirical-statistical models for identification of forest associations and zonal/regional types of forest formations capable of stabilizing the continental biosphere under changing climate are described. Possible biotic regulation of the carbon cycle under known scenarios of future greenhouse warming is suggested. The maps on the carbon content and its changes in the forests of the Oka river basin are presented.
About the Authors
Erland KolomytsRussian Federation
Institute of Ecology of the Volga River Basin, Russian Academy of Sciences, Komzina str., 10, Togliatti, 445003, Russia
Gennady Rozenberg
Russian Federation
Institute of Ecology of the Volga River Basin, Russian Academy of Sciences, Komzina str., 10, Togliatti, 445003, Russia
Larisa Sharaya
Russian Federation
Institute of Ecology of the Volga River Basin, Russian Academy of Sciences, Komzina str., 10, Togliatti, 445003, Russia
References
1. Aber J., Nelson R.P., Mcnulty St., et al (2001). Forest Processes and Global Environmental Change:
2. Predicting the Effects of Individual and Multiple Stressors // BioScience. V. 51. № 9. P. 735–751.
3. Celniker, Yu.L. (2006). CO2 exchange in forest biogeocoenoses // Concepts of Biocenology
4. In Forest Science. Nauka, Moscow. pp. 213–229 (In Russian).
5. Climate Change 1995 (1996). The Science of Climatic Change / J.T. Houghton, L.G. Meira
6. Filho., and B.A. Callander et al. (Eds). The Cambridge Univ. Press, Cambridge, UK. 572 p.
7. Forman, R.T.T. (1995). Land Mosaics: The Ecology Landscape and Region. Cambridge Univers.
8. Press, Cambridge, UK. 315 р.
9. Glazovskaya, M.A. (1964). Geochemical Fundamentals of Typology and Methodology of
10. Landscape Research. Moscow State University Press, Moscow. 230 p. (in Russian).
11. Gorshkov, V.G. (1994). Physical and biological basis of life stability. Man, Biota, Environment.
12. Springer-Verlag, Berlin. 340 p.
13. Klijn, F. and Udo de Haes, H. (1994). A hierarchical approach to ecosystems and its implication
14. for ecological land classification // Landscape Ecology. V.9. № 2. pp. 89–104.
15. Kolomyts, E.G. (2008). Local mechanisms of global changes in natural ecosystems. Nauka,
16. Moscow. 427 p. (in Russian, Abstract in English, pp. 374–380).
17. Kolomyts, E.G., Rozenberg, G.S. (2009). Forecasted changes of biological cycle and carbon
18. balance in temperate forest ecosystems under global warming // Intern. Journ. of Ecological
19. Economic & Statistics. V. 15, No F09, Pp. 1–19.
20. Polynov, B.B. (1956). Selected Studies. USSR Academy of Sciences Press, Moscow. 751 p. (in
21. Russian).
22. Pope, V.D., Gallani M.L., Rowntree P.R., and Stratton, R.A. (2000). The impact of new physical parametrizations
23. in Hadley Centre climate model – HadCM3 // Climate Dynamics. V.16. pp. 123–146.
24. Rozenberg, G.S. (1984). Models in Phytocenology. Nauka, Moscow. 265 p. (in Russian).
25. Shary P.A. (2001). Analytical GIS Eco. Website: http//www.esti-map.ru.
26. Shary, P.A. Sharaya L.S., Mitusov, A.V. (2002). Fundamental quantitative methods of land
27. surface analysis // Geoderma. V.107. № 1–2. pp. 1–32.
28. Sochava, V.B. (1974). Geotopology as a Division of Geosystem Science // Topological aspects
29. of Geosystem Science.Nauka, Novosibirsk. pp. 3–86 (in Russian).
30. Sukachev, V.N. Selected Studies. V.1. (1972). Fundamentals of Forest Typology and Biocenology.
31. Nauka, Leningrad. 418 p. (in Russian).
32. Zalihanov, M.Ch., Losev, K.S., Shelekhov, A.M. (2006). Natural ecosystems as the important
33. resource of mankind. // Bulletin of the Russian Academy of Sciences. V.76, № 7. pp. 612 –
34. (in Russian).
Review
For citations:
Kolomyts E., Rozenberg G., Sharaya L. CARBON BALANCE OF FOREST ECOSYSTEMS UNDER GLOBAL WARMING: LANDSCAPE-ECOLOGICAL PREDICTIVE MODELING. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2011;4(1):69-85. https://doi.org/10.24057/2071-9388-2011-4-1-69-85
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