Journal of Siberian Federal University. Biology / Integrating Seasonal Measurements of Tree-Ring Formation with Long-Term Tree-Ring Chronologies: 1. Search for an Adequate Approach

Full text (.pdf)
Issue
Journal of Siberian Federal University. Biology. 2026 19 (2)
Authors
Karmanovskaya, Natalia V.; Babushkina, Elena A.; Belokopytova, Liliana V.; Zhirnova, Dina F.
Contact information
Karmanovskaya, Natalia V. : Fedorovsky Polar State University (Norilsk, Russian Federation); ; ORCID: 0000-0001-9303-0003; Babushkina, Elena A.: Khakass Technical Institute of Siberian Federal University (Abakan, Russian Federation); ORCID: 0000-0002-1355-4307; Belokopytova, Liliana V. : Khakass Technical Institute of Siberian Federal University (Abakan, Russian Federation); ORCID: 0000-0002-8475-7304; Zhirnova, Dina F. : Khakass Technical Institute of Siberian Federal University (Abakan, Russian Federation); ORCID: 0000-0002-5189-5700
Keywords
Pinus sylvestris; Pinus sylvestris; wood formation; seasonal growth; tree-ring chronologies; climate response; process-based modeling; cambial activity
Abstract

Traditional dendroclimatic methods based on retrospective analysis of tree-ring width do not always allow for unambiguous interpretation of the climatic signal owing to the complex interaction of factors during the growing season. In this regard, the integration of direct seasonal observations of xylogenesis with process-based models of radial tree growth represents a promising approach. This study aimed to compare long-term seasonal measurements of cell growth kinetics and data from the Vaganov-Shashkin model (VS-model). The Scots pine (Pinus sylvestris L.) wood formation had been observed at two sites in the Khakass-Minusinsk Depression since 2013. During the period of dormancy, a stable number of cells (6.1) was observed in the cambial zone. Short-term minima in seasonal growth kinetics coincided with periods of climatic extremes. Long-term tree-ring width chronologies were also constructed and used to confirm the dominance of moisture limitation (inter-site correlation R=0.72) and to enable automated parameterisation of the VS -model. The simulated chronologies aligned reasonably well with the observed ones (R=0.61–0.63; synchronicity Glk>64%; root mean square error RMSE=0.25). The integral growth rate obtained from the fitted VS-model (dependent on temperature, soil moisture, and daylength at daily resolution) matches the observed kinetics of cell numbers in the expansion zone in both peak timing and curve shape. The results confirm the potential of integrating seasonal measurements and process-based modeling for forecasting tree radial growth responses to climate change, and provide new avenues for improving the VS-model

Pages
272–287
EDN
RJXZHJ
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/159246

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