Research On Integration Of Different Types Forest Growth And Yield Models

Stand growth and yield models is an important means to forecast stand's growth and harvest objectively,is the guidelines for forest workers to manage forest.However, the models is various,and different models to simulate the same factor may be inconsistent.It bring difficulties to apply models to Production.So,research Stand growth and yiele models' integration is help to know the self-sow rule of individual-tree and stand systemicly and the distinction and contact among different models. It is significant to resolving the compatibility,consistency and internal structure unity between different levels models.and it is help to enhance the biology significance,make the models have better explanation and broader applicability, Thus,can combine the theoretical research of various models and actual production better.By analyzing the concept and Meaning of models'integration, propose a thought of models'coupling.use the EXCEL and SPSS software as the analysis and computing platform, use the forest mensuration principles research the various models' coupling. Research includes 4 parts:the Coupling of individual tree factor(diameter D, tree height H, basal area G, Volume V, etc.) growth and yield models; the coupling among individual tree growth and yield models with stand growth and yield models; (average Diameter Dg, average high H, basal area Go, volume M); the coupling among stand growth and yield models; the coupling among Stand growth and yield models and stand diameter class distribution models.By studying, realize the various models'coupling, and get a series coupled stand growth and yield models. These models include the index, stand density, stand age, and other factors that have affinity with stand growth, have better biology significanceand explanation. These models are broad sense growth and yield models.to Different geographical and tree species, as long as the plots data collected, the appropriate growth and yield models can be establish. In addition, the models can forecast the reality and future stand, have broader applicability. By testing the applicability and calculate the accuracy of these models, we can see these models have very good applicability and high forecast accuracy. It shows that this study's methods and ideas are reasonable and feasible.