摘要：With an investigation into the procedure and techniques involved in constructing a stand densitymanagement diagram (SDMD) and in light of users’ real needs, this study designs a system for thedynamic construction of SDMDs based on R language, for the purpose of overcoming the complexitiesof model fitting in producing a diagram, the difficulties in constructing a diagram and the high demandsfor users’ expertise. The interactive modelling technique between C# language and R language isapplied to the research, with which different sets of model fitting results are compared and optimalresults are chosen. The whole procedure, from data collection, model fitting (including outlier dataelimination, prototype model fitting and model testing) and diagram construction, is streamlined andautomated. Continuous forest inventory data for the Larix principis-rupprechtii plantation in China’sInner Mongolia is used and two sets of prototype fitting results of the SDMD are compared. Withequivalent height curves as the example, this paper makes the goodness of fit of the binomial theoryof density effect (R2=0.9231) better than that of the power theory of density effect (R2=0.8354). Themodel with the best goodness of fit is finally selected for the dynamic construction of a SDMD.Application of this generated SDMD indicates a relatively high accuracy and practical value.
