建立异速生长模型估算红木树苗地上和地下生物量。

Q4 Agricultural and Biological Sciences
Jeng-I Tsai, Kai-Ling Chang, F. Feng
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引用次数: 0

摘要

台湾有大面积的大叶红木(swetenia macrophylla King)造林和再造林,以减少因气候变化而产生的二氧化碳。在台湾,红木人工林总面积约为2982.00公顷,其中125.40公顷在国家森林,232.00公顷在新华实验森林站。生物量是一种随时间积累的植物属性。它是成长的重要指标,用于分析和管理过程。地上生物量是许多异速生长关系中的关键参数。然而,对红木地下生物量估算的研究很少,因为这些部分难以挖掘和量化。本研究的目的是建立一种异速生长的关系来估计地上(干木,干树皮,树枝和树叶)和地下的生物量(根)使用一个容易测量值,如胸径(胸径),直径在干细胞基地(双边带)和树高(H)。46个桃花心木的树苗(0厘米≤胸径≤10厘米),不同年龄与第二隔间这片森林站,被用来建立胸径的异速生长的功能和生物量,DSB和生物量的功能。采用显著性相关检验检验胸径与生物量在叶、枝、茎、地上、地下和全树不同剖面上的关系。DSB也进行了测试。结果表明,幂回归函数优于其他函数。胸径与生物量的相关性大于DSB与生物量的相关性。全树生物量、地上生物量和地下生物量的异速生长函数分别为W = 175.67×DBH^2.29 (R^2 = 0.9692)、Wabove = 112.21×DBH^2.34 (R^2 = 0.9621)和Wbelow = 61.65×DBH^2.19 (R^2 = 0.9610)。红木各部位碳含量分别为:茎(45.83±0.92%)、根(45.09±0.89%)、叶(44.95±1.21%)、枝(43.74±1.09%)、茎皮(42.64±1.01%)。管理人员可以在不破坏树木的情况下估算红木的生物量、碳含量比和碳储量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building allometric models to estimate above-ground and below-ground biomass of mahogany sapling.
There are large areas of big-leaf mahogany (Swietenia macrophylla King) afforestation and reforestation plantations for reducing carbon dioxide due to climate change in Taiwan. In Taiwan, out of the total area of mahogany plantations of approximately 2982.00 ha, 125.40 ha is in national forests and 232.00 is at the Hsin-Hua Experimental Forest Station. Biomass is a plant attribute that accumulates over time. It is an important indicator of growth and is used in analysis and management processes. Above-ground biomass is the key parameter in many allometric relationships. However, there are few studies on below-ground biomass estimations of mahogany, for it is difficult to excavate and quantify these portions. The aim of this study was to establish an allometric relationship to estimate the above-ground (stem wood, stem bark, branches, and foliage) and belowground (roots) biomass using an easily measured value, such as the diameter at breast height (DBH), diameter at the stem base (DSB) and tree height (H). Forty-six mahogany saplings (0 cm ≤ DBH ≤ 10 cm), with different ages in the second compartment of this forest station, were used to establish the allometric functions of DBH and biomass, and functions of DSB and biomass. A significance test of the correlation was used to test the relationship between DBH and biomass in different sections, including foliage, branches, stems, above-ground, below-ground, and the entire tree. The DSB was also tested. The results showed that the power regression function was superior to other functions. The correlation between DBH and biomass was higher than the correlation between DSB and biomass. The allometric functions for the entire tree biomass, above-ground biomass, and below-ground biomass were W = 175.67×DBH^2.29 (R^2 = 0.9692), Wabove = 112.21×DBH^2.34 (R^2 = 0.9621), and Wbelow = 61.65×DBH^2.19 (R^2 = 0.9610), respectively. The carbon content of each part of mahogany trees was as follows: stem wood (45.83±0.92%), roots (45.09±0.89%), foliage (44.95±1.21%), branches (43.74±1.09%), and stem bark (42.64±1.01%). Managers can estimate the biomass, carbon content ratio, and carbon storage of mahogany without destroying trees.
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来源期刊
Taiwan Journal of Forest Science
Taiwan Journal of Forest Science Agricultural and Biological Sciences-Forestry
CiteScore
0.20
自引率
0.00%
发文量
0
期刊介绍: The Taiwan Journal of Forest Science is an academic publication that welcomes contributions from around the world. The journal covers all aspects of forest research, both basic and applied, including Forest Biology and Ecology (tree breeding, silviculture, soils, etc.), Forest Management (watershed management, forest pests and diseases, forest fire, wildlife, recreation, etc.), Biotechnology, and Wood Science. Manuscripts acceptable to the journal include (1) research papers, (2) research notes, (3) review articles, and (4) monographs. A research note differs from a research paper in its scope which is less-comprehensive, yet it contains important information. In other words, a research note offers an innovative perspective or new discovery which is worthy of early disclosure.
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