Risk analysis on forest coverage prediction

Forest coverage is one of the important indicators that indicate the number of forests in a country or region. This paper selects rainfall, elevation, soil layer thickness, pests and diseases, afforestation projects, statistical caliber, forest land category identification standards, and resource management as the evaluation indicators for risk analysis of forest coverage prediction. The analytic hierarchy process and multiple regression model were used to draw the following conclusions:(1) among the evaluation indicators that affect the prediction risk of forest coverage, the weight value of statistical caliber was the largest;(2) the predicted risk coefficient range of forest coverage is 1.00 to 2.65.