Development of Allometric Models for Estimating the Biomass of Sclerocarya birrea (A.Rich) Hoscht and Boscia senegalensis (Pers.) Lam. ex Poir.

Ramata Talla, M. Sagna, M. Diallo, Aly Diallo, D. Ndiaye, O. Sarr, A. Guisse
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引用次数: 3

Abstract

The objective of this study was to develop allometric models for estimating the biomass of Sclerocarya birrea (A.Rich) Hoscht and Boscia senegalensis (Pers.) Lam. ex Poir. The inventory of these ligneous was carried out at Widou Thiengoly (North of Senegal). The sample consists of 43 individuals of Boscia senegalensis and 15 individuals of Sclerocarya birrea. The selected individuals were dendrometrically characterized before being cut, compartmentalized (trunk, branches, and twigs) and weighed entirely. Simple regression tests were performed to examine the most explanatory dendrometric parameter (x) for biomass (y) according to two types of models: the linear model (y = ax + b) and the polynomial model of degrees 2 (y = ax2 + bx + c). The criteria for selection and validity of the models are based firstly on the tests of normality, nullity, heterogeneity and autocorrelation of the residues. The results showed that the most explanatory dendrometric parameter of the biomass was the crown surface for Boscia senegalensis and the 1.30 m diameter for Sclerocarya birrea of all the tests performed, the second-order Polynomial model is the best predictor of above ground biomass for these two species. Thus, the allometric models established to predict the biomass of these two species are: y = 0.0023x2 + 0.4851x - 0.0519 for Boscia senegalensis and y = 0.35x2 + 10.35x - 12.90 for S. birrea; with very significant correlation coefficients (R2) of 0.85 and 0.94 respectively. These results can be used for a sequestered carbon assessment study and will play a role in monitoring the carbon market in Africa.
估算bircarya (A.Rich) Hoscht和Boscia senegalensis (Pers.)生物量的异速生长模型的建立林。Poir交货。
本研究的目的是建立一种异速生长模型,用于估算白栎木(Sclerocarya birrea, A.Rich) Hoscht和塞内加尔栎(Boscia senegalensis, Pers.)生物量。林。Poir交货。在Widou Thiengoly(塞内加尔北部)对这些木材进行了清查。样本包括43个塞内加尔波西亚(Boscia senegalensis)个体和15个胡桃木(Sclerocarya birrea)个体。被选中的个体在被切割、划分(树干、树枝和小枝)和完全称重之前进行了树木特征分析。采用线性模型(y = ax + b)和2度多项式模型(y = ax2 + bx + c)两种模型进行简单回归检验,检验生物量(y)的最具解释性的树形参数(x)。模型的选择标准和有效性首先基于残差的正态性检验、零性检验、异质性检验和自相关性检验。结果表明,在所有试验中,塞内加尔杉木的树形参数最能解释其地上生物量,而粗核果的树形参数为1.30 m,二阶多项式模型是这两种树种地上生物量的最佳预测因子。因此,建立的预测两种植物生物量的异速生长模型分别为:塞内加尔松木的y = 0.0023x2 + 0.4851x ~ 0.0519,印度松木的y = 0.35x2 + 10.35x ~ 12.90;极显著相关系数(R2)分别为0.85和0.94。这些结果可用于封存碳评估研究,并将在监测非洲碳市场方面发挥作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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