Journal of Siberian Federal University. Biology: Climaticaly Induced Dynamic of Radial Growth of Siberian Stone Pine and Siberian Fir in the Mountain-Taiga Belt in Ergaki National Park

Journal of Siberian Federal University. Biology / Climaticaly Induced Dynamic of Radial Growth of Siberian Stone Pine and Siberian Fir in the Mountain-Taiga Belt in Ergaki National Park

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Issue: Journal of Siberian Federal University. Biology. 2010 3 (1)
Authors: Gerasimova, Oksana V.; Zharnikov, Zahar Yu; Knorre, Anastasia A.; Myglan, Vladimir C.
Contact information: Gerasimova, Oksana V. : Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041, Russia; Zharnikov, Zahar Yu : Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041, Russia; Knorre, Anastasia A.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041, Russia; V.N. Sukhachev Institute of Forest SB RAS 50/28 Akademgorodok, Krasnoyarsk, 660036, Russia; ; Myglan, Vladimir C.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041, Russia
Keywords: tree rings; conifers; timberline; region; climate
Abstract: The results of dendroclimatic study were carrying out on the timber-line of mountain-taiga vegetation belt (1500-1600 m a.s.l.) in the Ergaki Natural Park. Six tree-ring chronologies for Siberian stone pine and Siberian fir were established. They covered the time period from 100 to 400 years. The comparison analysis between tree radial growth and the main climatic parameters of environment (monthly air temperature and amount of precipitation) showed the different climatic responses of trees depending on position in relief. The most significant factor determining the tree-ring growth for Siberian stone pine chronologies from site I and site II (Kamenniy gorod and Raduzhnoe) were the temperatures of the beginning of vegetation period (R=0,27, p<0,05). The temperatures of July were significantly correlated with tree-ring width of stone pine and fir (R=0,22 - 0,25, p<0,05, respectively) from the slopes (Peak Spasateley). Stone pine tree-ring chronology can not be used for the procedure of climatic reconstruction in the studied region because of low value of the regression coefficient (r2 = 0,07, p<0,005).
Pages: 18-29
Paper at repository of SibFU: https://elib.sfu-kras.ru/handle/2311/1792

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