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中国东北针叶林与阔叶林混交林中12种树木的异速生物量方程。

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

作者信息

He Huaijiang, Zhang Chunyu, Zhao Xiuhai, Fousseni Folega, Wang Jinsong, Dai Haijun, Yang Song, Zuo Qiang

机构信息

Key Laboratory for Forest Resources & Ecosystem Processes, Beijing Forestry University, Haidian District, Beijing, China.

Laboratoire de Botanique et d'Ecologie Vegetale, Universite de Lome, Lome-Togo.

出版信息

PLoS One. 2018 Jan 19;13(1):e0186226. doi: 10.1371/journal.pone.0186226. eCollection 2018.

Abstract

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.

摘要

为了实现可持续资源管理和生态系统功能,了解森林碳预算和动态变化需要对单个树种和林分水平的地上和地下生物量进行量化。在本研究中,在中国东北针叶与阔叶混交林(该国最大的天然林区)中,共对122棵树(每个树种9 - 12棵)进行了破坏性采样,以确定12个树种(东北槭、色木槭、白桦、千金榆、水曲柳、胡桃楸、山槐、红松、大青杨、蒙古栎、紫椴和春榆)的地上和地下生物量。以直径为自变量,对单个树种以及所有树种组合进行生物量分配研究并建立生物量模型。结果表明,所有树种组合的生物量分配中,最大的是树干(57.1%),其次是粗根(21.3%)、树枝(18.7%)和树叶(2.9%)。对数变换模型对所有生物量组成部分均具有统计学意义,尽管特定树种模型的预测能力高于所有树种组合的通用生物量模型,且树干、根系、地上生物量和树木总生物量模型的预测能力高于树枝和树叶生物量模型。这些发现通过增加样本树、树种和地点,补充了此前对该森林类型的研究,并为中国东北地区通过间伐和采伐等管理活动开展森林碳预算和动态变化的生物量研究提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f2d/5774681/89ca20f8f68a/pone.0186226.g002.jpg

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