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马尾松人工公益林林分空间结构优化研究

Optimization of Spatial Structure for Pinus massonian Public Welfare Plantations

  • 摘要: 以最小的人为干预、最大程度优化人工公益林林分空间结构,将有助于提高森林生态服务功能。基于3块30 m × 30 m马尾松Pinus massoniana人工公益林样地实测数据,在抚育采伐阈值条件(采伐蓄积量不超过15%)下,选择角尺度(W)、混交度(M)、密集度(C)、大小比数(U)、开敞度(K)、竞争指数(CI)和林层指数(S)7 个空间结构参数,基于乘除法思想构建空间结构单元评估指标以评价林木未来生长潜力,从而确定采伐木,构建林分空间结构综合评估指标评价林分空间结构状况以确定最优采伐株数。结果显示:在3块马尾松林样地中,样地1、2和3分别有林木112株、95株和133株,而最优采伐株数分别为21株、16株和23株,其中样地2和3的最优采伐株数对应的蓄积量小于采伐阈值;3个样地的林分空间结构综合指数分别增加15.4%、14.3%和16.7%,提升效果明显。本研究提出了马尾松人工公益林林分空间结构优化方法,通过计算机程序模拟采伐,在采伐阈值条件下,实现了以最小的人为干预最大程度优化林分空间结构,在森林经营实践中具有应用价值。

     

    Abstract: The maximization of stand spatial structure optimization of public welfare plantations achieved with minimal human intervention contributes to the enhancement of forest ecosystem service functions. Under the predefined threshold (where the harvest volume does not exceed 15%), seven spatial structure parameters, i.e. uniform angle index (W), species mingling (M), crowding (C), diameter dominance (U), opening degree (K), competition index (CI) and storey index (S), were selected on the basis of field data from three plots (30 m × 30 m) of Pinus massoniana. Based on multiplication and division method, spatial structure unit evaluation indices were constructed to evaluate the growth potential of forest so as to determine the trees to be harvested. A comprehensive evaluation indices for the stand spatial structure was established to evaluate the state of the structure, with the aim of determining the optimal number of trees for harvesting. The results showed that plots 1, 2 and 3 contained 112, 95 and 133 trees, respectively, while the optimal number of trees to be harvested were 21, 16 and 23, respectively. Notably, the volumes corresponding with the optimal number in plots 2 and 3 were below the harvesting threshold. The comprehensive stand spatial structure index (TF) increased by 15.4%, 14.3%, and 16.7%, respectively, indicating an obvious effect of improvement. This study proposes an optimization method for the spatial structure of P. massoniana public welfare plantations stands. Though computer-simulated logging, the maximum spatial structure optimization with minimal human intervention is achieved under the condition of the harvesting threshold, eventually offering practical value for forest management.

     

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