Study on forest land change dynamics based on CA-Markov and FORECAST models

Abstract

In order to study the dynamics of forest land change in Sichuan province, this paper developed a CA-Markov model to estimate the total amount of CO2 stored in the region in the future 100 years. Then, the visualization results of forest land change are combined with forest comprehensive value to provide suggestions for forest managers in the region. Finally, this prediction model was used to study the impact of different rotation periods on forest carbon sinks of specific tree species in the study area.