Modeling of various life processes of <i>Juniperus excelsa</i> M. Bieb to determine optimal growing conditions in the southern coast of Crimea, Russia

Aim. In connection with global climate change and an increase in the intensity of aridisation region southern coast Crimea (SCC), aim is to study ecophysiological response Juniperus excelsa M. Bieb is, during its intensive vegetative phase, impact external environmental factors that greatly influence characteristics water regime, which would allow possible establishment optimal unfavorable conditions for growth species. Material Methods. Measurements parameters were carried out using a wireless phytomonitoring system. Applied computer programs used statistical data processing. Modeling smoothing two‐dimensional was least squares method, robust locally weighted regression mathematical model stepwise analysis. Results. To assess growing season Bieb, we applied As dependent variables, relative flow velocity shoot (Sf, r.u.) diameter (d, mm), obtained from SF‐5P sensors SD‐10z sensors. The independent variables main factors. share dispersion variable, explained by models, determined as 98–99%. Conclusions. development based on database plant functions appropriate quantitative will make it future predict ecological state particular area or whole.