Forest management decision based on carbon sequestration and multi-index evaluation model

Abstract

In this paper, according to the definition of carbon sinks, we established a carbon sequestration model by adding parameters, and calculated the carbon sinks of 10 main trees in the sixth and seventh inventory in the state-owned forest area of Heilongjiang Province. Subsequently, we analyzed the four first-level indicators that affect the effective area of the forest, and refined them into ten second-level indicators, and established a multi-index evaluation model based on the entropy weight method to comprehensively evaluate different forests. According to the evaluation results, we constructed the fitting relationship model between forest effective area and forest assessment results. Taking 9 kinds of effective forest area as an example, we get the comprehensive evaluation index corresponding to different forest effective area. Subsequently, we discussed the model of forest effective area based on the model of planting and cutting balanced forest management plan. Based on the previous evaluation model, taking the Saihanba forest as an example, combined with the specific situation of the effective area of the Saihanba forest, a goal programming model was established, to find the transition point of the effective area of the forest and formulate a suitable management plan for forest managers.