Forest management plans based on carbon sequestration models

Abstract

Carbon sequestration is one of the most important ways to sequester carbon dioxide from the atmosphere to reduce the amount of greenhouse gases in the atmosphere, and forests play an indispensable role in the carbon sink. This paper will use time series prediction model (ARIMA) to Iceland, France and Italy is located in three different latitude, different climatic zone of European countries for predicting the forest carbon sequestration, change model perfectly through stationarity test sequence, and the predicted results are the residual analysis, and finally use AHP to construct a judgment matrix, obtain the weight vector through normalization, conduct consistency test, and establish an evaluation model to measure the five aspects of carbon sequestration, water and soil conservation, biodiversity, wood product profits and benefits, and social services. In the end, this paper gains the weight of the main factors affecting forest value. This paper explains to community dwellers the need for moderate deforestation of forest trees based on the above model and conclusions.