Carbon Sequestration-oriented Forest Management Plans

Abstract

Recently, climate change can pose a significant threat to the lives of plants and animals. And forests play a vital role in climate change mitigation efforts. From a general point of view, we built a dynamic carbon sequestration model with the help of the assessment provided by IPCC and a BCEF-based set of differential equations that were optimized. Then we build a decision model for the optimal forest exploitation direction by analyzing detailed forest data specifically. First, we used the biomass expansion factor to determine the amount of carbon sequestered per unit area of trees for the first model. The data were also queried to determine the carbon sequestration of below-ground and shrub trees. Then, we focused on the footprint of trees of different species ages to build a dynamic differential model of forest area to predict future forest carbon sequestration. Secondly, for the second model, we first collected data extensively. And then we determined the weights for some specific indicators by hierarchical analysis, followed by forwarding and dimensionless processing of the data, and then scored by the Topsis method to synthesize each indicator into the corresponding target layer, which can be clustered and analyzed to into three groups: unsuitable, more suitable, and suitable. We determine the transition point by calculating the critical value of each group according to the grouping.