Accepted_test
Modeling the phenological response of herbaceous plants to climate change in Western Siberia
The data of phenological observations of 78 species of perennials from the collection of ornamental plants of the natural flora of the CSBG SB RAS were processed. Results were obtained indicating the direction of changes in pheno-events for different ecological groups and different life forms under climate change conditions for Western Siberia. A model based on a chain of learning connected iterative perceptrons is proposed to predict the occurrence of phenological events and evaluate its result.