Equations allométriques pour l’estimation de la biomasse aérienne de &lt;i&gt;Faidherbia albida&lt;/i&gt; (Del.) Achev dans les agrosystèmes d’Aguié, Niger

Manzo, Ousmane Laminou; Massaoudou, Moussa; Issoufou, Hassane Bil-Assanou; Diouf, Abdoulaye; Morou, Boubé; Youssifi, Soumana; Mahamane, Ali; Paul, R. M.

doi:10.4314/ijbcs.v9i4.12

Cited by 6 publications

(5 citation statements)

References 14 publications

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“…R 2 > 0.65) for all tree components in the two climatic zones. This type of equation is widely reported by many authors in the tropical zones of Africa ( Henry et al., 2011 ; Antin et al., 2013 ; Laminou Manzo et al., 2015 ; Xiang et al., 2016 ; Dimobe et al., 2018 ; Mensah et al., 2018 ). In addition, the power models are simple and practical in estimating the biomass of several woody species, and this fact lead several authors to prefer them than polynomial and logarithmic equations that have high elasticity ( Xiang et al., 2016 ; Yuen et al., 2016 ).…”

Section: Discussionmentioning

confidence: 59%

“…Therefore there is an increasing interest to convince policy makers of the need for tools to assess plants ability to capture and store the atmospheric carbon (C). There is also a necessity to set reliable, accurate and economical methods for estimating the biomass of trees and shrubs ( Djomo et al., 2010 , 2016 ; Laminou Manzo et al., 2015 ). These tools would help to determine the geographical distribution of C stocks and to understand changes in C stocks in relation to other parameters such as land use and climatic zones.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of aboveground biomass and carbon stock of Balanites aegyptiaca, a multipurpose species in Burkina Faso

Ouédraogo

Dimobe

et al. 2020

Heliyon

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Balanites aegyptiaca (L.) Delile is native to semi-arid regions in Africa where it is a well-known and conspicuous component of savannas. The species is highly preferred by local people because of its high socio-economic, cultural and ecological values. However, the species faces multiple environmental challenges such as desertification and human pressure. This study aimed to develop allometric models to predict aboveground biomass (AGB) of B. aegyptiaca in two climatic zones in Burkina Faso. Overall, thirty trees were sampled using destructive method in six study stands along two climatic zones. We assessed the biomass allocation to the different components of trees by computing its fraction. Furthermore, allometric models based on diameter at breast height (dbh) and basal diameter at 20 cm height (D 20 ) were fitted separately as well as combined with crown diameter (CD) and/or tree total height (Ht). For each biomass component, non-linear allometric models were fitted. Branch biomass accounted for 64% of the AGB in the two climatic zones and increased with dbh. No significant difference in carbon content was found. However, biomass allotment (except leaves) varied across climatic zones. Although both dbh and D 20 are typically used as independent variables for predicting AGB, the inclusion of the height in the equations did not signiﬁcantly improve the statistical fits for B. aegyptica. However, adding CD to dbh improved significantly the equations only in the Sudano-Sahelian zone. The established allometric models can provide reliable and accurate estimation of individual tree biomass of the species in areas of similar conditions and may contribute to relevant ecological and economical biomass inventories.

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Section: Discussionmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Prediction of aboveground biomass and carbon stock of Balanites aegyptiaca, a multipurpose species in Burkina Faso

Ouédraogo

Dimobe

et al. 2020

Heliyon

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“…The best prediction models are the second order polynomial allometric equation and the linear equation. Furthermore, the work of [26] [27] [29] and [43] have shown that a model can have a high coefficient of determination, meet all preliminary tests (p-value > 0.05) and be subsequently rejected by the assessment of certain validation criteria, notably the different statistical tests, standard residual error, Akaike information criterion (AIC).…”

Section: Discussionmentioning

confidence: 99%

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

Talla¹,

Sagna²,

Diallo³

et al. 2020

OJE

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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 = ax 2 + 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 = 0.0023x 2 + 0.4851x − 0.0519 for Boscia senegalensis and y = 0.35x 2 + 10.35x − 12.90 for S. birrea; with very significant correlation coefficients (R 2

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“…Te estimation model (M5b) for the total biomass presents a coefcient of determination (adjusted R 2 ) greater than 0.94, and the value of the AIC and the RSE low but has not been validated by the various tests in occurrence the Breusch-Pagan test or the value of the statistic is less than 0.05. A model can have a high coefcient of determination and the residual standard error (RSE) and the Akaike information criterion (AIC) low and be rejected by the assessment of certain validation criteria, and in particular, the diferent statistical tests [32,33,43]. Te ratio of belowground biomass to aboveground biomass (BGB/ AGB) gives a ratio of 0.22 which is close to the ratio of 0.24 proposed by the IPCC [35].…”

Section: Discussionmentioning

confidence: 74%

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

Fomekong Tane,

Momo Solefack,

Mendi Anjah

et al. 2024

International Journal of Ecology

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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.

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Equations allométriques pour l’estimation de la biomasse aérienne de <i>Faidherbia albida</i> (Del.) Achev dans les agrosystèmes d’Aguié, Niger

Cited by 6 publications

References 14 publications

Prediction of aboveground biomass and carbon stock of Balanites aegyptiaca, a multipurpose species in Burkina Faso

Prediction of aboveground biomass and carbon stock of Balanites aegyptiaca, a multipurpose species in Burkina Faso

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

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

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Equations allométriques pour l’estimation de la biomasse aérienne de <i>Faidherbia albida</i> (Del.) Achev dans les agrosystèmes d’Aguié, Niger

Cited by 6 publications

References 14 publications

Prediction of aboveground biomass and carbon stock of Balanites aegyptiaca, a multipurpose species in Burkina Faso

Prediction of aboveground biomass and carbon stock of Balanites aegyptiaca, a multipurpose species in Burkina Faso

Development of Allometric Models for Estimating the Biomass of &lt;i&gt;Sclerocarya birrea&lt;/i&gt; (A.Rich) Hoscht and &lt;i&gt;Boscia senegalensis&lt;/i&gt; (Pers.) Lam. ex Poir.

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

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