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Trees, Forests and People
Article . 2024 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Trees, Forests and People
Article . 2024
Data sources: DOAJ
https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Tree Allometry and Stand Structure in Dryland Forests Relics of Northern Côte D’Ivoire

Authors: Nina Gueulou; Brahima Coulibaly; Adeline Fayolle; Noufou Doudjo Ouattara; Assandé Ahoba; Anatole Kanga N'Guessan; Adama Bakayoko;

Tree Allometry and Stand Structure in Dryland Forests Relics of Northern Côte D’Ivoire

Abstract

The contribution of dryland forests in West Africa to carbon stocks remains poorly documented due to the lack of appropriate allometric models and inventory data. In this study, we gathered such data for dryland forest relics of northern Côte d’Ivoire. Inventory data were used to determine and sample the dominant species, and to characterize the stand structure. Destructive biomass data were used to develop local mixed-species allometric models for estimating tree aboveground biomass (AGB) and test the validity of existing allometric models, and to characterize the stand structure (including carbon stock). A total of 118 tree species belonging to 102 genera and 36 families were inventoried in 41 plots of 25 × 25 m (625 m² each, totalling 2.56 ha) sampled in three sites in the Korhogo department. Among them, seven predominant species, including one exotic, were selected for destructive sampling in one site, the Lataha Forest Research Station. Destructive biomass data for 34 trees belonging to these dominant species and with diameter at breast height between 6 and 41 cm were used to fit allometric equations specific to this forest type and to test the predictions of existing equations earlier developed for the global tropics and for African dry forests. Six equations integrating three predictors, stem diameter (D), total tree height (H) and wood specific gravity (ρ) were developed and the models with the three predictors showed the best performance. Pantropical models significantly over-estimated tree AGB by 20 % while models developed for African dry forests provided reliable estimates, suggesting a specific allometry of trees in dryland forest relics that needs to be further explored.. With our best AGB model, a quantity of 141.26 ± 92.72 tDM.ha−1 was estimated confirming that these dryland forest relics are important carbon stocks for this region where open vegetation dominates. This study constitutes an important contribution for the carbon accounting programs related to the implementation of REDD+ initiatives in Côte d’Ivoire.

Country
Belgium
Keywords

Sciences de l’environnement & écologie, Economics, Econometrics and Finance (miscellaneous), Aboveground biomass, Forestry, Mixed-species allometric models, Management, Monitoring, Policy and Law, SD1-669.5, Agriculture & agronomy, Dryland forests, mixed-species allometric models, Life sciences, Biologie végétale (sciences végétales, sylviculture, mycologie...), Agriculture & agronomie, Environmental sciences & ecology, Africa, Sciences du vivant, QK900-989, aboveground biomass, Plant ecology, Phytobiology (plant sciences, forestry, mycology...), dryland forests

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
Published in a Diamond OA journal