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基于单木过程模型的杉木林分生长模拟研究

Growth Simulation of Chinese Fir Based on Individual-Tree Process Model

  • 摘要: 基于林分尺度的3-PG模型原理,在考虑单木林分生理生态过程的基础上,改进了生物量积累和分配子模型,建立适应于单木生长的生理生态过程模型,实现基于单木过程模型的林分生长预测。选择胸径和树高生长量2个指标与实测值对比分析,结果表明:改进模型对胸径和树高生长量的模拟平均精度分别为95.57%和91.16%,均明显高于3-PG模型对应的89.4%和85.18%的平均模拟精度,改进模型的模拟精度显著提高,模拟效果更好。

     

    Abstract: The biomass production model and distribution model were improved based on 3-PG model theory, so as the individual tree growth model could be established to achieve the growth forecast of the Chinese fir (Cunninghamia lanceolata) stand. In this study, the diameter at breast height (DBH) and height (H) were used to evaluate and compare the results of the model simulation and field data. It showed that the average analog precisions of DBH and H of the improved model were respectively 95.57% and 91.16%, significantly higher than that of the 3-PG model, whose precisions were 89.4% and 85.18%. The simulation accuracy of the improved simulation model was significantly higher and the simulation results were better.

     

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