Allometric models for improving aboveground biomass estimates in West African savanna ecosystems

Ganamé, Moussa; Bayen, Philippe; Ouédraogo, Idrissa; Balima, Larba Hubert; Thiombiano, Adjima

doi:10.1016/j.tfp.2021.100077

Cited by 21 publications

(23 citation statements)

References 61 publications

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“…WD is determined from wood samples in laboratory as a ratio of dry mass to the green volume [31]. Literatures [32][33][34][35][36][37] list these variables according to their importance as dbh, WD, and ht in explaining tree biomass variations and dbh and ht for tree volume [32][33][34][35][36][37]. Among the three explanatory variables, tree dbh and ht have been often used as only explanatory variables to develop biomass allometric models [31].…”

Section: Of 24mentioning

confidence: 99%

“…Although allometric models exist for Africa [35,36,37] , these are generally limited in their applications by the dbh range used for the model calibration, uneven distribution of the dbh within the dbh range, the type and number of tree species used in developing the models, ecological zones, and the type and number of explanatory variables used [38]. Due to lack of local allometric models for some sub-Saharan African countries rely on pantropic models such as the ones developed by [30] for the estimation of local AGB and BGB.…”

Section: Of 24mentioning

confidence: 99%

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Allometric Models for Predicting Biomass and Carbon Pools of Boscia Senegalensis(Pers.) Lam. Ex Poir. (Capparaceae) Populations in Central Africa: A Case Study from Cameroon

Awé

Noiha

Cédric

et al. 2021

RJEES

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Accurate estimates of above-ground biomass (AGB) and below-ground biomass (BGB) are essential for estimating carbon (C) balances at various geographical scales and formulating effective climate change mitigation programs. This study aimed to formulate specific allometric equations and carbon stock for B. senegalensis in Cameroon. Destructive sampling technique was used for harvesting and weighing the biomass of 40 individual trees. Allometric models were developed using biomass as dependent variable and tree dendrometric parameters as independent variables. The best models selected based with Adjusted coefficients of determination (Adj.R 2 ), residual standard error (RSE) and Akaike's information criterion (AIC) were: ln (leaf biomass) = 0.08 + 0.31*ln (D 2 ×H×ρ); ln (branch biomass) = 0.14 + 0.65*ln (D²×H×ρ); ln (stem biomass) = 2.03 + 1.32*ln (D²×H); ln (AGB) = 4.55 + 2.85*ln(D) and ln (BGB) =3.04 + 1.64*ln(D).The belowground biomass of B. senegalensis represents on average 25 % of the total aboveground biomass. Aboveground carbon ranged between 7.09 ± 0.42-9.01 ± 0.50 tC/ha; Belowground carbon ranged between 4.37 ± 0.26 -7.11 ± 0.35 tC/ha; litter carbon ranged between 0.50 ± 0.02 -0.95 ± 0.04 tC/ha; herbaceous carbon ranged between 1.05 ± 0.28 -1.86 ± 0.20 tC/ha ; dead wood carbon ranged between 3.03 ± 0.40 -8.98 ± 0.44 tC/ha; Soil Organic Carbon Stock varies between4.33 ± 0.79 -6.14 ± 1.05 tC/ha ;Total carbon were 33. 24 ± 4.28;27.40 ± 3.35;27.27 ± 3.27and 21.18 ± 3.00 tC/ha in site 3, site 2, site 1 and site 4 respectively.The specific allometric equation developed for B. senegalensis can be used in similar Sudano-Sahelian savannas to implement activities to reduce emissions from deforestation and degradation (REDD+) for the benefit of local carbon trading communities.

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Section: Of 24mentioning

confidence: 99%

Section: Of 24mentioning

confidence: 99%

Allometric Models for Predicting Biomass and Carbon Pools of Boscia Senegalensis(Pers.) Lam. Ex Poir. (Capparaceae) Populations in Central Africa: A Case Study from Cameroon

Awé

Noiha

Cédric

et al. 2021

RJEES

Self Cite

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“…Rather, the canopy area based on the SfM method would be more accurate than that assuming an elliptical shape because of the distorted shape of the canopy (Figure 6). Although DBH has often been used to estimate biomass in forestry, the development of LiDAR observations has increased the opportunity to use the canopy area as an alternative parameter [33,34]. The canopy area is also an important parameter influencing carbon gain in relation to leaf photosynthesis, total leaf area, and leaf lifespan [34,35].…”

Section: Three-dimensional Tree Structurementioning

confidence: 99%

“…Although DBH has often been used to estimate biomass in forestry, the development of LiDAR observations has increased the opportunity to use the canopy area as an alternative parameter [33,34]. The canopy area is also an important parameter influencing carbon gain in relation to leaf photosynthesis, total leaf area, and leaf lifespan [34,35].…”

Section: Three-dimensional Tree Structurementioning

confidence: 99%

Applicability of Structure-from-Motion Photogrammetry on Forest Measurement in the Northern Ethiopian Highlands

et al. 2021

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Ethiopia is one of the countries with the most degraded forest resources. Information on tree structure is needed at some points in the process to assess the appropriateness of forest management. The objectives are to examine whether the Structure from Motion (SfM)-based photogrammetry can be used to derive the forest structural parameters, and how the tree structural parameters can vary by location. In this study, the possible applicability of low-cost SfM-based photogrammetry was evaluated for forest management and conservation purposes in the Adi Zaboy watershed of the Northern Ethiopian highlands. In the watershed, dwarf Acacia etbaica was sparsely distributed. Consequently, the full three-dimensional point clouds of the individual trees were generated, which provided a wide variety of tree structural parameters in a non-destructive manner. The R2 values for tree height, canopy width, and stump diameter were 0.936, 0.891, and 0.808, respectively, and the corresponding RMSE values were 0.128 m, 0.331 m, and 0.886 cm. In addition, differences in forest structure and composition were caused by differences in the environment. The SfM-based photogrammetry would provide fundamental information to meet the demand of sustainable forest management from a morphological point of view, especially in forests of Ethiopian highlands.

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“…Thus, for most savanna woody plants, BGB does not necessarily match AGB [18], making hypothetic the use of simple allometric relationships implying only the stem size or a standard value of root-shoot biomass ratio for predicting BGB. Yet, in Africa, where the natural environment is mostly consists in natural savannas [19], allometric equations are systematically used to estimate both AGB and BGB of savanna trees [20][21][22][23][24][25][26][27][28]. This contributes certainly to the uncertainties in the carbon balance in Africa, which still remain high [29].…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Index Based on Leaf Heteroblasty for Predicting Root Biomass in a Frequently Burned Savanna Species: Cussonia arborea Hochst. Ex A. Rich. (Araliaceae)

Kouamé

Millan

N’Dri

et al. 2021

IJPSS

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Background: Biotic and abiotic disturbances such as frequent wildfires and herbivory contribute to maintain trees and grasses coexistence in savanna ecosystems. In comparison to stems and leaves, exposed to fire and herbivory, the roots, protected by being belowground, are less affected by these disturbances. Therefore, indirect estimation of belowground biomass (BGB) of savanna trees from simple allometric relations based on stem measurements can lead to major biases. Aims: In this study we explored how the Leaf ontogenetic change index (LOCI), a quantitative index based on leaf heteroblastic development, can provide an accurate estimate of BGB in Cussonia arborea, a widespread species in West African humid savannas. Methodology: We examined leaf morphometrics on post-fire resprouts of 40 individuals to assess whether LOCI can inform on plant age. We then analyzed by log-level regressions the variation of LOCI in relation to plant stem volume. Subsequently, we studied the variation of BGB according to stem volume, and as a function of both stem volume and LOCI, which allowed us to evaluate the contribution of LOCI to BGB estimation. BGB was obtained destructively by digging up roots and weighing total dry mass of 25 individuals including small and large trees. Statistical analyses were done with the R software. Place and Duration of Study: Study was performed in the Lamto Scientific Reserve, Côte d’Ivoire, between May 2020 and June 2021. Results: Using the stem volume as single explanatory variable of BGB, the regression model provided an adjusted R2 of 0.71. Association of the stem volume with LOCI increased the adjusted R2 from 0.71 to 0.90. Conclusion: Combining LOCI with a measure of stem size provides better estimate of BGB in C. arborea compared to estimate based on stem size only. Since a large proportion of woody species in frequently disturbed environments exhibit an overall strategies promoting persistence, future works should evaluate how these strategies are modulated during ontogeny and can explain biomass variation over time.

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Allometric models for improving aboveground biomass estimates in West African savanna ecosystems

Cited by 21 publications

References 61 publications

Allometric Models for Predicting Biomass and Carbon Pools of Boscia Senegalensis(Pers.) Lam. Ex Poir. (Capparaceae) Populations in Central Africa: A Case Study from Cameroon

Allometric Models for Predicting Biomass and Carbon Pools of Boscia Senegalensis(Pers.) Lam. Ex Poir. (Capparaceae) Populations in Central Africa: A Case Study from Cameroon

Applicability of Structure-from-Motion Photogrammetry on Forest Measurement in the Northern Ethiopian Highlands

A Quantitative Index Based on Leaf Heteroblasty for Predicting Root Biomass in a Frequently Burned Savanna Species: Cussonia arborea Hochst. Ex A. Rich. (Araliaceae)

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