Distribution and Carbon Sequestration Potential of Cola Laurifolia Mast.: A Dominant Native Riparian Species Along Permanent Rivers in Sub-Saharan Africa
Keywords:
Allometry, aboveground biomass; Burkina Faso; species distribution; Mouhoun River
Abstract
Species-specific models for estimating aboveground biomass (AGB) are the accurate means of quantifying species’ carbon pools. Cola laurifolia Mast., a dominant and multi-purpose riparian species along the Mouhoun River in Burkina Faso have a regressive population. Few scientific studies exist concerning this riparian species population and carbon stock capacity. This study aims to allow this gap by formulating a species-specific allometric model for assessing with direct method for Cola laurifolia leave, branches, stem and whole AGB. Parameters used to perform models are tree diameter at breast height (DBH), basal diameter at 20 cm (D20), height (H), and mean crown diameter (CD) using data from 30 trees. Population structure shows a low regeneration potential at all of the studied river zones (i.e. upstream, intermediate and downstream zones). The carbon stock was found to be 54.14 kg C tree-1 and 9.24 Mg C. ha-1. The density of C. laurifolia was higher in downstream zone, and consequently the carbon stock was higher in these areas. The log-log linear model is the best-fitted form incorporated DBH and H as predictors. This form is best fitted for the three tree components (i.e. leaves, branches, stem) and the AGB. The AGB model is more accurate with high coefficient of determination and low RSE (R²=0.92; RSE=0.28) contrasted with leaves models. The global model has the best goodness of fit because of a low relative error (-0.213 %) compared to the use of three component models. The accuracy of our species-specific model confirms the need to develop such models for greater accuracy in AGB estimations.
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References
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11. Chavan, B. L., & Rasal, G. B. (2011). Potentiality of Carbon Sequestration in six year ages young plant from University campus of Aurangabad. Global Journal of Researches in Engineering, 11(7). https://doi.org/ISSN 2249-4596
12. Chave, A. J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., Fölster, H., Fromard, F., Higuchi, N., Kira, T., Lescure, J., Nelson, B. W., Ogawa, H., Puig, H., Riéra, B., Yamakura, T., Chave, J., Andalo, C., Brown, S., … Riéra, B. (2005). Tree Allometry and Improved Estimation of Carbon Stocks and Balance in Tropical Forests Tree allometry and improved estimation and balance in tropical forests of carbon stocks. Ecology, 145(1), 87–99. https://doi.org/10.1007/s00442-005-0100-x
13. Chave, J., Réjou-Méchain, M., Búrquez, A., Chidumayo, E., Colgan, M. S., Delitti, W. B. C., Duque, A., Eid, T., Fearnside, P. M., Goodman, R. C., Henry, M., Martínez-Yrízar, A., Mugasha, W. A., Muller-Landau, H. C., Mencuccini, M., Nelson, B. W., Ngomanda, A., Nogueira, E. M., Ortiz-Malavassi, E., … Vieilledent, G. (2014). Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology, 20(10), 3177–3190. https://doi.org/10.1111/gcb.12629
14. Daba, D. E., & Soromessa, T. (2019). The accuracy of species-specific allometric equations for estimating aboveground biomass in tropical moist montane forests: Case study of Albizia grandibracteata and Trichilia dregeana. Carbon Balance and Management, 14(1), 1–13. https://doi.org/10.1186/s13021-019-0134-8
15. Dayamba, S. D., Djoudi, H., Zida, M., Sawadogo, L., & Verchot, L. (2016). Biodiversity and carbon stocks in different land use types in the Sudanian Zone of Burkina Faso, West Africa. “Agriculture, Ecosystems and Environment,” 216, 61–72. https://doi.org/10.1016/j.agee.2015.09.023
16. Delitti, W. B. C., Meguro, M., & Pausas, J. G. (2006). Biomass and mineralmass estimates in a “cerrado” ecosystem. Brazilian Journal of Botany, 29(4), 531–540. https://doi.org/10.1590/S0100-84042006000400003
17. Dimobe, K., Goetze, D., Ouédraogo, A., Mensah, S., Akpagana, K., Porembski, S., & Thiombiano, A. (2018). Aboveground biomass allometric equations and carbon content of the shea butter tree (Vitellaria paradoxa C.F. Gaertn., Sapotaceae) components in Sudanian savannas (West Africa). Agroforestry Systems, 93(3), 1119–1132. https://doi.org/10.1007/s10457-018-0213-y
18. Dimobe, K., Mensah, S., Goetze, D., Ouédraogo, A., Kuyah, S., Porembski, S., & Thiombiano, A. (2018). Aboveground biomass partitioning and additive models for Combretum glutinosum and Terminalia laxiflora in West Africa. Biomass and Bioenergy, 115(November 2017), 151–159. https://doi.org/10.1016/j.biombioe.2018.04.022
19. Djomo, A. N., Ibrahima, A., Saborowski, J., & Gravenhorst, G. (2010). Allometric equations for biomass estimations in Cameroon and pan moist tropical equations including biomass data from Africa. Forest Ecology and Management, 260(10), 1873–1885. https://doi.org/10.1016/j.foreco.2010.08.034
20. Ejikeme, C. M., Ezeonu, C. S., & Eboatu, A. N. (2014). Determination of Physical and Phytochemical Constituents of Some Tropical Timbers Indigenous To Niger Delta Area of Nigeria. European Scientific Journal, 10(18), 1857–7881.
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Published
2022-11-23
How to Cite
Kabore, G. E., Bayen, P., Dayamba, S. D., & Thiombiano, A. (2022). Distribution and Carbon Sequestration Potential of Cola Laurifolia Mast.: A Dominant Native Riparian Species Along Permanent Rivers in Sub-Saharan Africa. European Scientific Journal, ESJ, 11, 586. Retrieved from https://eujournal.org/index.php/esj/article/view/16141
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ESI Preprints
Copyright (c) 2022 Gouwidida Elice Kabore, Joseph Ki-Zerbo, Philippe Bayen, Sizabda Djibril Dayamba, Adjima Thiombiano
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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