Growth Model System for National Continuous Forest Inventory

Abstract

A Growth Model System is developed for data updating and forecasting of the national continuous forest inventory. Its design is based on the inherent forest growth laws, and its parameters are estimated by modern regression methods. It is composed of an age-implicit tree model, a diameter-related survival rate model, a recruitment model based on age and number of plots, and an area model. It is suitable for forest resource information updating and forecasting for a large region, e.g., a province. Data of remeasured plots and trees are needed for development of the system. A study case of Jiangxi Province with detailed error analyses is provided.