Please use this identifier to cite or link to this item: http://197.159.135.214/jspui/handle/123456789/1196
Title: Modelling above Ground Carbon Stock in Lamto Scientific Reserve and Lokoli Ecofarm, Ivory Coast
Authors: Kouakou, Amani Abell Mike
Keywords: Aboveground Carbon Stock
Modelling
Machine Learning
Lamto Scientific Reserve
Lokoli Ecofarm
Ivory Coast
Issue Date: Jan-2025
Publisher: WASCAL
Abstract: This study analysed the spatiotemporal dynamics of carbon stock and vegetation in two key areas of Côte d’Ivoire: the Lamto Scientific Reserve (LSR) and the Lokoli Ecofarm (EFL), from 1990 to 2022. The results highlight a notable increase in forest formations, especially in Lamto, where savanna landscapes have gradually become more wooded, gaining 108 hectares. In Lokoli, a similar trend is observed but remains at an earlier stage, with wooded savannas predominating. Projections for 2060 and 2100 suggest continued expansion of forests if environmental conditions are maintained. Regarding floristic diversity, Lamto hosts 302 species (193 genera, 72 families) compared to 216 species (147 genera, 56 families) in Lokoli, both sites being dominated by the Fabaceae family. Carbon stocks are significant: on average, Lamto exhibits 151.36 t/ha of biomass (75.68 tC/ha), with gallery forests reaching the highest values, while Lokoli shows 38.16 t/ha of biomass (19.08 tC/ha), with dense dry forests recording the maximum. The economic value of the sequestered carbon ranges between EUR 2,634 and EUR 13,171. Predictive models confirm that vegetation densification correlates with rising carbon stocks, particularly in Lamto. eXtrem Gradient Boost (XGBoost) and Random Forest provide the most accurate estimates, supporting advanced modeling approaches for sustainable ecosystem management.
Description: A Thesis submitted to the West African Science Service Centre on Climate Change and Adapted Land Use and the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Climate Change and Land Use
URI: http://197.159.135.214/jspui/handle/123456789/1196
Appears in Collections:Climate Change and Land Use - Batch 5

Files in This Item:
File Description SizeFormat 
01_MIKE_KOUAKOU_THESIS_JAN_2025.pdfPhD Thesis9.74 MBAdobe PDFView/Open


Items in WASCAL Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.