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基于吉林省长白山区1 078块人工红松林小班的森林资源规划设计调查数据,选用12种3参数的生长模型对蓄积生长进行模拟,并用决定系数R2、均方根误差RMSE对模型精度进行检验,最后以模型外推检验其生物学意义。结果表明:人工红松林经历“缓慢—旺盛—缓慢”的生长阶段;理论生长方程Richards模型和Gompertz模型能较好地模拟这个过程,拟合精度较高,生物学意义较好;拟合的生长曲线呈现慢生树种典型的“S”形。对蓄积生长模型求导计算出连年生长量模型,表明人工红松林分在29a附近时蓄积连年生长量达到最大值。蓄积生长模型能较好地模拟长白山区人工红松林的生长过程,可为森林生长预测和经营优化提供参考依据。
Based on the survey data of forest resource planning and design of 1078 artificial Korean pine forests in Changbai Mountain area of Jilin Province, 12 kinds of 3-parameter growth models were chosen to simulate the accumulation growth. The model accuracy was tested with the determination coefficient R2 and root mean square error (RMSE) Finally, the model extrapolation to test its biological significance. The results showed that: the artificial Korean pine forest experienced “slow - strong - slow” growth stage; theoretical growth equation Richards model and Gompertz model can better simulate this process, the fitting accuracy is higher, the biological significance is better; fitting The growth curve presents the typical “S” shape of slow-growing species. The model of annual growth was calculated by calculating the growth model, which showed that the annual growth of artificial Korean pine forest reached the maximum after 29 years. Accumulation growth model can simulate the growth of artificial Korean pine forest in Changbai Mountain, which can provide reference for forest growth prediction and management optimization.