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林木的结构-功能模型(functional-structural tree modeling,FSTMs)是基于器官级组件构建的将植物结构和功能结合起来的一类模型,在应用于成年树时需要解决拓扑结构复杂性和年轮分配模式普适性的问题。该文以18年生和41年生的油松(Pinus tabulaeformis)成年树为研究对象,将GreenLab模型应用到成年树的模拟中。采用破坏性取样,实测了2株油松成年树的形态结构,利用子结构模型解决成年树拓扑结构复杂性的问题,引入年轮影响系数λ,将全局分配模式和Pressler模式结合起来,解决年轮分配模式在不同年龄和环境条件下不同的问题。模型的直接参数通过实测数据获得,隐含参数利用非线性最小二乘法拟合反求获得。通过实测数据与模拟数据的对比、模拟数据与经验模型模拟数据的对比,对模型的模拟效果进行了评估,发现节间总重、针叶总重、树高、树干节间重观测值和模型模拟值建立的回归方程的决定系数为0.84-0.98,结构-功能模型与经验模型对总生物量模拟的决定系数为0.95,表明该模型能较真实地反映油松的结构和生长过程。
The functional-structural tree modeling (FSTMs) is a class of models based on organ-level components that combine plant structure and function. When applied to an adult tree, the complexity of the topology and the distribution of annual rings Model universal problem. In this paper, 18-year-old and 41-year-old adult Pinus tabulaeformis trees were selected as research objects and the GreenLab model was applied to the simulation of adult trees. Destructive sampling was used to test the morphological structure of adult tree of two Pinus tabulaeformis individuals. The substructure model was used to solve the complexity of the adult tree topology structure. By introducing the influence coefficient of annual ring λ, the global distribution model and Pressler model were combined to solve the problem of year The problem of different patterns of round distribution under different age and environmental conditions. The direct parameters of the model are obtained from the measured data, and the hidden parameters are obtained by nonlinear least-squares fitting. By comparing the measured data with the simulated data and comparing the simulation data with the simulated data of the empirical model, the simulation results of the model were evaluated. The results showed that the total weight of the internodes, the total weight of the needles, the height of the tree, The coefficient of determination of the regression equation established by the simulated values is 0.84-0.98. The coefficient of determination of the structure-function model and the empirical model for the total biomass simulation is 0.95, indicating that the model can more accurately reflect the structure and growth process of Pinus tabulaeformis.