A Carbon Sequestration Model for Better Forest Management and Future Environmental Protection

Abstract

In recent years, with the economic development, people's demand for forest resources has increased, thus leading to a large increase in tree cutting. Forest resources have both ecological and economic values, and this paper will propose an innovative forest management model that is based on a model of forest carbon sequestration. We take a forest in the Daxinganling Mountains as an example. First, we use python to build a forest growth model, which is related to many factors including forest growth rate, mortality rate, natural harvesting rate, and distribution of populations by age. Then, based on this model, we calculate the ecological value of the forest by the carbon sequestration of the forest, and the economic value that the forest can provide to people by the carbon content of harvested trees, which is our carbon sequestration model. Finally, we use the TOPSIS analysis algorithm to determine the weights of ecological and economic benefits according to regions and to maximize the combined benefits of the forest. The innovation of this paper is to fully consider the population distribution, birth rate, and death rate of the forest, and build a forest model with a good fit for reality. Therefore, it is also possible to calculate the influence of human factors on the comprehensive benefits of the forest by changing factors such as cutting rate, so as to obtain the optimal solution of the forest management model within a certain range.