Study on Forest and Climate Model based on Grey Relational Prediction

Abstract

In recent years, global warming and greenhouse gases (representative gas carbon dioxide) have posed a significant threat to people's production and life. Therefore, for this harmful climate phenomenon, this paper first selects 15 forests in the world as the research object and constructs the forest carbon sequestration model based on grey prediction and the forest carbon sequestration management scheme decision-making model based on grey relational analysis. The grey relational analysis method was used to analyze the weight of the influence of six main factors on carbon sequestration. Then, based on considering the capacity of forest carbon sequestration, a decision-making model of forest management scheme based on carbon sequestration was introduced. The differences in carbon sequestration under different forest management schemes were studied, and the changing trend of carbon sequestration with time was discussed. The future trend of carbon sequestration is analyzed on a time scale, and a prediction model based on time change is established to provide a more effective and comprehensive reference for decision-makers.