Site-Species Allometry Equation for Theobroma cacao L. Biomass Estimation in Agroforestry Systems of Cameroon

Q2 Environmental Science
Alex Bleriot Fomekong Tane, Marie Caroline Momo Solefack, Grace Mendi Anjah, Junior Baudoin Wouokoue Taffo, Olivier Clovis Kengne, Samuel Severin Kenfack Feukeng
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Abstract

The accuracy of biomass estimates through mathematical expressions remains essential for the sustainability of the REDD+ process. The objective of this research was to develop allometric models by site species to evaluate the biomass of Theobroma cacao in agroforestry systems in the Central Region of Cameroon. Biomass data were obtained by the destructive method on a sample of 50 trees (5 cm ≤ D ≤ 27 cm). Allometric models were developed using aboveground (AGB), belowground (BGB), and total biomass (TB) as dependent variables and tree dendrometric parameters as independent variables. Nine linear models were adjusted based on the Akaike information criterion (AIC), residual standard error (RSE), coefficient of determination (R2), and various statistical tests including the normality test, heterogeneity, and autocorrelation for the analysis of residuals. The different results show that only the diameter appears to be a good predictor of biomass with an R2 greater than 0.94, 0.85, and 0.95, respectively, for aboveground biomass (M1: ln B = −1.613 + 1.83 × ln (D)), belowground biomass (M1: ln B = −2.611 + 1.65 × ln (D)), and total biomass (M1: ln B = −1.297 + 1.79 × ln (D)). Incorporating crown diameter and height into the models slightly improved the quality of adjusted. Comparison of the models in this study with pantropical equations previously used to estimate Theobroma cacao biomass shows that the models in this study provide a better estimate. The allometric equations developed in this work to estimate the AGB, BGB, and TB of Theobroma cacao can be used under the same environmental conditions to accurately predict the biomass accumulated in agroforestry systems by this species and thus allow the implementation of activities aimed at reducing emissions from deforestation and degradation (REDD+) for the benefit of local communities through the carbon market.
喀麦隆农林系统中可可豆生物量估算的地点-物种异构方程
通过数学表达式估算生物量的准确性对于 REDD+ 进程的可持续性至关重要。本研究的目的是按地点物种建立异速模型,以评估喀麦隆中部地区农林系统中可可树的生物量。生物量数据是通过对 50 棵树(5 厘米 ≤ D ≤ 27 厘米)进行取样的破坏性方法获得的。以地上生物量(AGB)、地下生物量(BGB)和总生物量(TB)为因变量,以树木树干参数为自变量,建立了异计量模型。根据阿凯克信息准则(AIC)、残差标准误差(RSE)、判定系数(R2)和各种统计检验(包括正态性检验、异质性和残差分析的自相关性)对九个线性模型进行了调整。不同的结果显示,只有直径似乎能很好地预测生物量,地上生物量(M1:ln B = -1.613 + 1.83 × ln (D))、地下生物量(M1:ln B = -2.611 + 1.65 × ln (D))和总生物量(M1:ln B = -1.297 + 1.79 × ln (D))的 R2 分别大于 0.94、0.85 和 0.95。将树冠直径和高度纳入模型略微提高了调整质量。将本研究中的模型与以前用于估算可可豆生物量的泛热带方程进行比较后发现,本研究中的模型能提供更好的估算结果。在相同的环境条件下,本研究开发的用于估算可可树生物量(AGB)、生物量(BGB)和生物量(TB)的计量方程可用于准确预测该树种在农林系统中积累的生物量,从而通过碳市场实施旨在减少毁林和森林退化所致排放量(REDD+)的活动,造福当地社区。
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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来源期刊
International Journal of Ecology
International Journal of Ecology Environmental Science-Ecology
CiteScore
2.20
自引率
0.00%
发文量
16
审稿时长
15 weeks
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