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Allometric biomass equations for 12 tree species in coniferous and broadleaved mixed forests Northeastern China

机译:东北针叶和阔叶混交林中12种树种的异速生物量方程

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摘要

Understanding forest carbon budget and dynamics for sustainable resource management and ecosystem functions requires quantification of above- and below-ground biomass at individual tree species and stand levels. In this study, a total of 122 trees (9–12 per species) were destructively sampled to determine above- and below-ground biomass of 12 tree species (Acer mandshuricum, Acer mono, Betula platyphylla, Carpinus cordata, Fraxinus mandshurica, Juglans mandshurica, Maackia amurensis, P. koraiensis, Populus ussuriensis, Quercus mongolica, Tilia amurensis and Ulmus japonica) in coniferous and broadleaved mixed forests of Northeastern China, an area of the largest natural forest in the country. Biomass allocation was examined and biomass models were developed using diameter as independent variable for individual tree species and all species combined. The results showed that the largest biomass allocation of all species combined was on stems (57.1%), followed by coarse root (21.3%), branch (18.7%), and foliage (2.9%). The log-transformed model was statistically significant for all biomass components, although predicting power was higher for species-specific models than for all species combined, general biomass models, and higher for stems, roots, above-ground biomass, and total tree biomass than for branch and foliage biomass. These findings supplement the previous studies on this forest type by additional sample trees, species and locations, and support biomass research on forest carbon budget and dynamics by management activities such as thinning and harvesting in the northeastern part of China.
机译:要了解森林碳预算和动力学以实现可持续的资源管理和生态系统功能,就需要对单个树种和林分级别的地上和地下生物量进行量化。在这项研究中,总共有122棵树(每个物种9–12个)被破坏性采样,以确定12种树种(宏cer,宏A,白桦,白桦,樟子松,水曲柳,胡桃树)的地上和地下生物量。东北地区针叶和阔叶混交林中的黑松,黑松(Maackia amurensis),红松体育(P. koraiensis),毛白杨(Populus ussuriensis),蒙古栎(Quercus mongolica),紫ilia(Tilia amurensis)和日本榆(Ulmus japonica))。检查了生物量分配,并使用直径作为独立树种和所有树种的自变量来开发生物量模型。结果表明,所有物种组合中最大的生物量分配方式是茎(57.1%),其次是粗根(21.3%),枝(18.7%)和枝叶(2.9%)。对数转换模型对所有生物量成分均具有统计学意义,尽管特定物种模型的预测能力高于所有物种组合,普通生物量模型的预测能力,而茎,根,地上生物量和总树木生物量的预测能力高于用于树枝和树叶的生物量。这些发现通过增加样本树,物种和地点补充了对这种森林类型的先前研究,并通过管理活动(如中国东北地区的间伐和收获)来支持有关森林碳收支和动态的生物量研究。

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