孙伟韬, 马鸿伟, 陈伟, 等. 亚热带海岛森林典型树种生物量模型构建[J]. 自然保护地,2024,4(0):1−9. DOI: 10.12335/2096-8981.2024052301
引用本文: 孙伟韬, 马鸿伟, 陈伟, 等. 亚热带海岛森林典型树种生物量模型构建[J]. 自然保护地,2024,4(0):1−9. DOI: 10.12335/2096-8981.2024052301
SUN W T, MA H W, CHEN W, et al. Construction of biomass equations for typical species in subtropical island[J]. Natural Protected Areas, 2024, 4(0): 1−9. DOI: 10.12335/2096-8981.2024052301
Citation: SUN W T, MA H W, CHEN W, et al. Construction of biomass equations for typical species in subtropical island[J]. Natural Protected Areas, 2024, 4(0): 1−9. DOI: 10.12335/2096-8981.2024052301

亚热带海岛森林典型树种生物量模型构建

Construction of biomass equations for typical species in subtropical island

  • 摘要:
    目的 亚热带海岛森林生态系统是地球陆地森林生态系统的重要组成部分,构建亚热带海岛森林典型树种的生物量模型,对丰富陆地森林典型树种生物量模型库、估算亚热带海岛森林典型树种生物量具有重要意义。
    方法 选取了亚热带气候区的岛屿——浙江省台州市大陈岛为研究区,所用数据包括大陈岛典型树种乌桕(Sapium sebiferum)、野桐(Mallotus tenuifolius)实测的地上与地下生物量、胸径、树高和冠幅数据。首先,分析了总生物量与胸径、树高和冠幅的相关性;其次,分别构建了一元、二元和三元生物量幂函数模型,并利用决定系数、平均残差和均方根误差3个指标衡量模型精度;随后,利用地上和地下生物量数据,分析了不同树种的地上、地下生物量占比特点,拟合了其与胸径、树高和冠幅的相关性。
    结果 大陈岛的两种典型树种的总生物量与胸径的关系最为密切,其次是树高,冠幅最低。两种典型树种的总生物量与胸径的一元幂函数模型的决定系数均为0.97,平均残差均在0.33 kg以下;总生物量与胸径和树高的二元幂函数模型决定系数均达到了0.97,平均残差和均方根误差相比二元模型均有一定程度降低;生物量模型由二元增至三元时,模型精度反而下降,特别是野桐的三元总生物量模型精度明显低于二元模型;乌桕地上、地下生物量比值与树高和冠幅呈显著正相关,野桐地上、地下生物量比值与树高呈显著正相关;乌桕、野桐的地上生物量占比平均值分别为70.1%和66.9%,即地上生物量明显高于地下。
    结论 经实验对比,使用二元幂函数模型估算大陈岛典型树种总生物量取得的效果最为理想。

     

    Abstract:
    Objectives The subtropical island forest ecosystem is one of the important components of the Earth's terrestrial forest ecosystem. The construction of a biomass model of typical tree species in subtropical island forests is of great significance for the enrichment of the biomass model library of typical tree species in terrestrial forests and for the advancement of understanding of the biomass characteristics of typical tree species in subtropical island forests.
    Methods The study focused on Dachen Island, Taizhou City, Zhejiang Province, China, an island in the subtropical climate zone. The measured above- and below-ground biomass, diameter at breast height, tree height, and crown spread data of two representative tree species ( Sapium sebiferum, Mallotus tenuifolius) in Dachen Island were collected. These data were then used to develop a biomass model for various tree species. Firstly, the correlations between total biomass and diameter at breast height, tree height, and crown width were subjected to analyzed. Secondly, unitary, binary, and ternary biomass power function models of total biomass with diameter at breast height, tree height, and crown width were constructed and evaluated separately. Thirdly, the data pertaining to the above- and below-ground biomass data were employed to analyze the characteristics of above- and below-ground biomass share and its relation with diameter at breast height, tree height, and crown width.
    Results The total biomass and diameter at breast height of the two typical tree species on Dachen Island are most closely related, followed by tree height and crown width. The determination coefficients of the univariate power function model for the total biomass and diameter at breast height of the two typical tree species are both 0.97 and the average residuals are both below 0.33 kg. Similarly, the determination coefficients of the bivariate power function model for total biomass, diameter at breast height, and tree height all reached 0.97, and the average residual and root mean square error were reduced to a certain extent compared to the bivariate model. When the biomass model increased from binary to ternary, the accuracy of the model decreased slightly, especially the accuracy of the ternary total biomass model of M. tenuifolius was significantly lower than that of the binary model. The ratio of aboveground biomass to underground biomass of S. sebiferum was significantly positively correlated with tree height and crown width. The ratio of aboveground biomass to underground biomass of M. tenuifolius was significantly positively correlated with tree height. The average proportion of aboveground biomass of S. sebiferum and M. tenuifolius was70.1% and 66.9%, respectively, indicating that the aboveground biomass was significantly higher than that of underground.
    Conclusions The experimental comparison revealed that the binary power function model yielded the most optimal estimation of total biomass for the typical tree species on Dachen Island.

     

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