利用异速生长方程估算松地上地下生物量。&可汗

IF 1.8 Q2 FORESTRY
A. Martínez-Domínguez, F. Ruiz-Aquino, Wenceslao Santiago-García, P. Antúnez, M. A. López-López, César Valenzuela-Encinas, R. Feria-Reyes
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引用次数: 3

摘要

摘要树木生物量的估算是森林生产力的一个参数;此外,它也是估算碳固定和碳储量的一种方法。在墨西哥,对包括地下成分在内的松属总生物量的研究很少,因为其量化困难且成本高。本研究采用异速生长模型对松林总生物量进行了估算。&可汗。研究人员对瓦哈卡州Ixtlán de Juárez松栎林的25棵树进行了破坏性分析,这些树分布在5个直径级,并根据组成部分(根、茎、枝和叶)对生物量进行了分类。利用各组分生物量数据,以胸径(D, cm)和总高度(TH, m)为自变量,采用非线性回归技术拟合不同模型。在本研究中,观察到所研究物种的生物量在根中占22.62%,在茎中占69.61%,在枝中占5.67%,在叶中占2.11%。本研究中提出的模型可以独立和加性地估计总生物量和结构成分。推荐在胸高直径为5至25厘米的patula树木中使用,在生长条件相似的森林中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Allometric equations to estimate aboveground and belowground biomass of Pinus patula Schiede ex Schltdl. & Cham
Abstract The estimation of tree biomass serves as a parameter of forest productivity; in addition, it is a method to estimate carbon fixation and storage. Studies on total biomass that include the belowground component for the Pinus genus are scarce in Mexico due to the difficulty and high costs for its quantification. In this study, allometric models were fitted to estimate the total biomass of Pinus patula Schiede ex Schltdl. & Cham., from the pine-oak forest of Ixtlán de Juárez, Oaxaca, for which a destructive analysis was made of 25 trees distributed in five diameter classes, classifying the biomass by components (root, stem, branches and foliage). With the component biomass data, different models were fitted by nonlinear regression techniques, using the diameter at breast height (D, cm) and the total height (TH, m) as independent variables. The model with the best fit was an exponential type In this study, it was observed that the studied species stores 22.62% of the biomass in the root, 69.61% in the stem, 5.67% in the branches and 2.11%, in the foliage. The models proposed in this study allow the estimation of total biomass and by structural component independently and additively. Its use is recommended in trees of P. patula, in the range of 5 to 25 cm of diameter at breast height, in forests with similar growing conditions.
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
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审稿时长
21 weeks
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