Forest Carbon Sequestration Based on Time Series Analysis and Fuzzy Linear Programming Model

Forest ecosystems, as the largest carbon sink in terrestrial ecosystems, play an important role in global carbon cycling, climate regulation, and mitigating global warming. To alleviate the problem of the greenhouse effect, the relevant data are collected, then several models are established. Model I: remote sensing carbon sequestration model based on time series. Model II: fuzzy linear programming model based on simulated annealing algorithm. These models are brought into the Amazon forest for universality analysis, and it is estimated that the Amazon forest and forest products will store 17.5-69.3 billion tons of CO₂ within 100 years. As the optimal decision model to design the forest management plan, the models can be bought to different countries, times, and space.