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Floristic inventory and diversity assessment of a lowland African Montane Rainforest at Korup,Cameroon and implications for conservation
Authors:Innocent Ndoh Mbue  Jiwen Ge  Kasereka Kanyamanda  Yinkfu Nowel Njamnsi  Mamadou Samake
Institution:1. School of Environmental Studies, Institute of Ecology and Environmental Sciences, China University of Geosciences, Wuhan;2. School of Environmental Studies, Hydrology and Water Resources Management, China University of Geosciences, Wuhan
Abstract:Twenty modified‐Whittaker plots were stratified at different sampling locations from February to May of 2008 in the central zone of Korup National Park, Cameroon. Our interest was to assess floristic diversity and investigate their relationship with environmental variables. Diversity profiles and rank abundance–curves were used for diversity analysis while canonical correspondence analysis and species–response curves were used to investigate the relationships between the response and explanatory variables. Of the 66 families identified, the Rubiaceae (999 species) were the most abundant. The Sterculiaceae (basal area = 10.482 m2 ha?1) were the dominant family, while the co‐dominant families included the Ebenaceae (basal area = 9.092 m2 ha?1) and the Euphorbiaceae (basal area = 8.168 m2 ha?1). Soil variables explained 54.3% of total variation in family distribution. Canonical axes were related to different environmental gradients: axis1 was related to increasing canopy cover (r = 0.6951); axis 2, increasing Magnesium (r = 0.8465) and effective cation exchange capacity (r = 0.5899); axis 3, increasing effective cation exchange capacity (r = 0.5536); while axis 4, increasing Phosphorus concentration (r = 0.5232). Our results demonstrate the advantage which diversity profiles have over single or combination of indices, and the importance of using a combination of methodologies in diversity analysis.
Keywords:canonical correspondence analysis  diversity profiles  Korup National Park  modified‐Whittaker plots  rank–  abundance curves  species–  response curves
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