Carbon Sequestration Model Based on Multiple Linear Regression

Abstract

Proper deforestation promotes the development of man and nature, so it is necessary to design models to calculate the amount of carbon sequestered and further determine the value of forests. According to the formula for calculating the carbon sequestration of forest and its affiliated forest products, we use the intensity of human disturbance as a single variable to construct a differential equation for the relationship between forest and wood product accumulation. Combining five major indicators such as rainfall, temperature, and tree species, we constructed a multiple linear regression model for carbon sequestration using the data obtained for fifteen forests worldwide. As a result, we established the relationship between carbon sequestration and the influencing factors, learned the significant effects of tree species and artificial disturbance intensity on carbon sequestration, and further established the optimal forest plan.