Parameterization of Productivity Model for the Most Common Trees Species in European Part of Russia for Simulation of Forest Ecosystem Dynamics

Abstract

The proposed model is the version of well-known biomass production model 3-PG (Physiological Principles Predicting Growth), which allows for calculation of biomass production in dependence of consumed soil nitrogen and available solar radiation. The model utilizes the concept of modifiers, i.e. functions describing the effect of tree age and environmental factors (air temperature and humidity, soil moisture, carbon dioxide concentration) on productivity. To make the model applicable to mixed forests of European Russia, the substantial modifications were implemented. In particular, more detailed response functions to air temperature, soil moisture and absorbed nitrogen were introduced. We also implemented new procedure of calculation of light use efficiency taking into account the difference between shade-tolerant and shade-intolerant tree species. The rank distribution equation was used for the description of an increment allocation to different tree biomass compartments. Model parameters were estimated for the 12 most common tree species of European Russia. The model was implemented as sub-routine for calculation of biomass production in forest ecosystem model EFIMOD 2. The model performance was tested against the wide range of environmental conditions.

Data on 30-year stand dynamics in an old-growth broad-leaved forest in the Kaluzhskie Zaseki State Nature Reserve, Russia

“…The datasets obtained from such plots can also be useful for calibration and validation of spatially explicit forest simulators in terms of species-specific growth rate, regeneration and survival depending on the local neighbourhood. For example, the data on diameter increment and crown projection size are intended to be used for parameter estimations for broad-leaved tree species in the crown competition model developed by Shanin et al (2020).…”

Thermodynamic substantiation of ecological-physiological modeling

“…These papers provide a typology of models and a history of mathematical modeling of tree community dynamics. We are particularly interested in ecologicalphysiological models, which are commonly divided into analytical [5][6][7], simulation models [8][9][10][11], and analytical-simulation models [12][13][14]. This division is rather arbitrary; other classifications are also possible, which do not fundamentally change the meaning of methods and approaches to ecological and physiological modeling.…”