Stand Structure, Allometric Equations, Biomass and Carbon Sequestration Capacity of <i>Acacia mangium</i> Wild. (Mimosaceae) in Côte d’Ivoire

Abstract

In addition to bioenergy production, Acacia magium, a fast growing species, plays a major role in climate change mitigation through carbon sequestration from the atmosphere. The objective of this study was to improve estimates of aboveground biomass of 3, 7 and 11 years old stands of Acacia mangium set up through natural regeneration at Anguédédou in Côte d'Ivoire. Tree measurements were done in circular plots of 615 m 2 located at the center of each stand. 24 trees of circumference at breast height (cbh) between 31 and 116 cm were felled, weighed and measured. Multiple linear regressions were used to develop allometric equations linking aboveground biomass of trees to cbh and/or height. The carbon stock and sequestration capacity of each stand was assessed using these predictive models. The average cbh was 39.4 cm, 73.5 cm and 91.4 cm respectively for 3, 7 and 11 years old stands with a density ranging between 845 trees•ha −1 and 553 trees•ha −1 . The allometric equations for biomass estimation were Btotal aboveground = exp(−3.455 + 2.081 × ln(C)), Btrunk = exp (−5.153 + 1.681 × ln(C) + 1.056 × ln(H)), Bbranches = exp(−2.005 + 0.498 × ln(C 2 × H)), Bleaves = exp(−2.415 + 1.339 × ln(C)). Total height had no influence on total and leaf biomass but increased precision of trunk and branch biomass.The carbon sequestration capacity of aboveground biomass was highest in Acacia mangium stand of 7 years old with 45.14 teqCO 2 •ha −1 •year −1 and lowest in the 3-year stand with 33.90 teqCO 2 •ha −1 •year −1 .

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

“…Equations to predict the TAGB were based on tree dbh and crown diameter. Such variations of allometric equations are in line with previous findings in Burkina Faso (Sawadogo et al 2010;Bayen et al 2015;Dimobe et al 2018a), Ghana (Henry et al 2010) and Côte d'Ivoire (Traoré et al 2018). The use of different sets of predictors also corroborates previous published equations where stem dbh was used as the lone predictor of woody species aboveground biomass or in combination with tree height and/or crown diameter (Kuyah et al 2012;Mbow et al 2013; Mensah et al The observed variations confirm the assumption that biomass predictors are specific to tree components (Dimobe et al 2018a).…”

“…& Diels (Dimobe et al 2018b). However, tree stem was reported elsewhere as the greatest biomass fraction (Henry et al 2010;Sawadogo et al 2010;Fonseca et al 2011;Traoré et al 2018). The variations in biomass allocation patterns within and between species could be explained by the specific eco-physiological responses of woody plants to environmental factors.…”

“…Over the last decade, much research effort in West Africa has gone into developing allometric equations for different forest types (Henry et al 2010;Mbow et al 2013), plantations (Bayen et al 2015;Traoré et al 2018) and tree species (Sawadogo et al 2010;Dimobe et al 2018a, b). Yet, how biomass and carbon stocks vary spatially and temporally at ecosystem and regional scales remains poorly understood.…”

Use Basal Diameter to Establish Mixed Species Allometric Equations Predicting Woody Stand Biomass in the Sudano-guinea Savannahs of Ngaoundere, Cameroon

“…Contrary, these results differed from those of Bagnoud and Kouyate [47] who have worked on savannah vegetation of Mali. As the total biomass, the best model of branch, and trunk biomasses was the allometric equation which was not influenced by the height as also found by Traore et al [48].…”

Allometric Equations for Predicting Biomass of <i>Daniellia oliveri</i> (Rolfe) Hutch. & Dalz. Stands in the Sudano-Guinea Savannahs of Ngaoundere, Cameroon

“…This result was similar to that of Bagnoud and Kouyate [49] who have worked on D. oliveri in Mali. As the total biomass, the best model of branches, trunks and root biomass was the equation 3 model which was not influenced by the height as found by Traore et al [50]. On the other hand, the best equation for the estimation of leaf biomass was obtained with the model of equation 4, integrating the tree diameter squared multiplied by the height (D 2 H), with RSE = 0.364; AIC = 17.836 and R 2 adj = 0.836.…”