Diversity, Above-Ground Biomass, and Vegetation Patterns in a Tropical Dry Forest in Kimbi-Fungom National Park, Cameroon
Heliyon 6 (2020) e03290 Contents lists available at ScienceDirect Heliyon journal homepage: www.cell.com/heliyon Research article Diversity, above-ground biomass, and vegetation patterns in a tropical dry forest in Kimbi-Fungom National Park, Cameroon Moses N. Sainge a,*, Felix Nchu b, A. Townsend Peterson c a Department of Environmental and Occupational Studies, Faculty of Applied Sciences, Cape Peninsula University of Technology, Cape Town 8000, South Africa b Department of Horticultural Sciences, Faculty of Applied Sciences, Cape Peninsula University of Technology, Bellville 7535, South Africa c Biodiversity Institute, University of Kansas, Lawrence, KS, 66045, USA ARTICLE INFO ABSTRACT Keywords: Research highlights: This study is one of few detailed analyses of plant diversity and vegetation patterns in African Ecological restoration dry forests. We established permanent plots to characterize plant diversity, above-ground biomass, and vegetation Flora patterns in a tropical dry forest in Kimbi-Fungom National Park, Cameroon. Our results contribute to long-term Environmental assessment monitoring, predictions, and management of dry forest ecosystems, which are often vulnerable to anthropogenic Environmental health pressures. Environmental impact assessment Dry forest Background and objectives: Considerable consensus exists regarding the importance of dry forests in species di- Bamenda highlands versity and carbon storage; however, the relationship between dry forest tree species composition, species rich- Kimbi-Fungom National Park ness, and carbon stock is not well established. Also, simple baseline data on plant diversity are scarce for many dry Carbon forest ecosystems. This study seeks to characterize floristic diversity, vegetation patterns, and tree diversity in Semi-deciduous permanent plots in a tropical dry forest in Northwestern Cameroon (Kimbi-Fungom National Park) for the first Tree composition time.
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