Predicting Models Of Visual Dynamic Growing Of Three-dimensional Single Tree For Mongolian Scots Pine In Plantation

Visual simulation of three-dimensional(3D) trees growing process has a bright application prospect. It can be used in anticipation of stand growth, forests management and planning, natural scene image simulation and etc. The data used in this study come from 46 sample trees of the 9 sample plots in Mongolian pine plantations with different age, different stand density, and different stand station based on stem analysis, branch analysis and knot analysis data. With these data, biological characters and growing patterns of trees, deductions and calculations were made on historical data of tree height, diameter of trunk, branch location and number, depth into crown and angle of location. Predicting models of branch height, branch diameter, branch length, branch chord length, angle of origin, leaf biomass and thickness of tree bark were set by using the linear and nonlinear regression models. And deductions were made on historical branch heights and distributions in the space.With the application of four software, development tool Visual C++ 6.0; OpenGL function; management system in visual simulation OpenGVS; modeling tool SDK of MultiGen Creator, and the observed data and growth predicting models, the visual 3D dynamic demonstrations of single tree growing in a Mongolian Scots Pine plantations are developed and mutual operations between visual 3D model and data of trees are realized. Corresponding data of tree character can be obtained through the operation in observing the visual 3D tree model.This study provides scientific basis for forests management and thinning and has practical value in landscape planning and design, forests management strategies and forestry teaching. It lays the foundation of generalized research in dynamic demonstration of tree growing.