ABSTRACT
The study was conducted in Afikpo South Local Government covering a total area of 331.5km2. Remote sensing and Geographic Information System (GIS) were integrated with multicriteria analysis to delineate the flood vulnerable areas. Seven criteria were considered; rainfall, runoff, slope, distance to drainage, drainage density, landuse and landcover, and soil. The various criteria were fit into fuzzy membership classes based on their effect in causing flood. The fuzzy members of all criteria were then overlaid to generate the flood vulnerability map. The result of the flood vulnerability map shows that very low vulnerable zones cover 86.7% of the total area, low vulnerable zones cover 1.6% of the total area, moderate vulnerable zones cover 2.17% of the total area, highly vulnerable zones cover 2.3% of the total area while very highly vulnerable zones cover 7.3% of the total area. Built up was used as a measure of the effect of flooding on human lives and properties in Afikpo South Local Government. Built up covers a total area of 38.6km2. Over sixty eight (69.8%) of built up lies in very low vulnerable zone, 3% lies in low vulnerable zone, 3.7% lies in moderate vulnerable zone, 0.6% lies in highly vulnerable zone and 17.9% lies in very highly vulnerable zone. The study provides information on target areas that may be affected by flood in Afikpo South Local Government. This information is useful for decision making on flood early warning and preparedness as well as in mitigation preparedness within Afikpo LGA.
ABSTRACT
Aims: Cancer is the second leading cause of death globally. Therefore, the knowledge on medicinal plants used to cure human cancer could be of great importance for their widespread use and scientific validation. The present study records information on anticancer plants in Boyo Division, in the western highland of Cameroon. Methods: Thirty traditional healers, were interviewed to document their know-how on the type of human cancer allegedly cured, the plant species used as well as their use pattern. Guided field walks were made to the collection sites for plant and its habitat characterization as well as herbarium voucher collection. Ethnobotanical quantitative tools were used to analyze and summarize collected data. Sustainability of harvest was assessed using a vulnerability index based on seven parameters. Results: A total of 25 medicinal plants cited were identified as belonging to 13 families and 23 genera. The most represented families were Asteraceae (28%), Lamiaceae (16%), Fabaceae (12%) and Acanthaceae (8%). Out of the seven categories of cancer diseases reported, the highest number of plants species were reported to treat stomach, pancreas, liver, skin and breast cancers, with informant consensus factor (ICF) ranging from 0.79 to 0.82. Leaves (60%) and bark (20%) were the major plant parts used mostly in form of decoction (45.45%) and concoction (38.18%). The result of Relative frequency citations (RFCs) revealed that 9 of the 25 plants species cited were the most frequently used with fidelity levels ranging from 92% (Geniosporum rotundifolium and Ocimum tenuiflorum Aframomum melegueta and Entada abyssinica) to 100% (Coleus blumei, Ocimum gratissimum, Eremomastax speciosa, and Dichrocephala integrifolia). Six species were assessed as vulnerable (Vi ≥ 2), while two species were rated as highly vulnerable namely G. rotundifolium (Vi = 2.71) and E. abyssinica (Vi = 2.85). Conclusion: New traditionally effective anticancer plants were identified in the present study, some of which were already vulnerable for exploitation in their actual habitat. Plants with high ICF, RFCs and FL values should be subjected to further phytochemical and pharmacological investigations for scientific validation while those with high Vulnerability index should be recommended for participatory domestication by the main users.