ISSN: 2168-9776
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Department of Sustainable Development, First Technical University, Ibadan, Oyo State, Nigeria
Research Article
Bayesian Inference Procedure for Structural Characterization of Nigerian Tropical Forest
Author(s): Sehinde Akinbiola*, Ayobami Salami and Olusegun Awotoye
The complexity of the tropical forest structure remains a challenge in forest physiognomy assessment, which is a key indicator of forest productivity with implications on the carbon cycle, biodiversity, and ecosystem services. The study assessed structural characteristics, described variability within forest stands, and estimated carbon stocks, using simulation tools and tree modeling with a focus on understanding and quantifying ecological relationships. The study discovered a site-specific wood density difference of 0.07 g/cm3 when compared with the generalized wood density for tropical forests by Food and Agricultural Organisation (FAO). Carbon stocks estimated with this site-specific wood density produced; 174 Mg Ca/ha-1, 155 Mg Ca/ha-1 and 78 MgCa/ha-1 respectively from three sampled Forest Reserves. Furthermore, the result showed that.. View More»
DOI:
10.35248/2168-9776.22.11.329