<p>The aim of this present study is to summarize the current state of research on the flora of the Côte d’Ivoire from the SIG IVOIRE database to better direct future collection efforts. Herbarium specimen data used for this study covered the period from 1894 to 2000, and were assembled by 226 collectors. This database comprises 15,228 samples, grouped in 3621 species, 1371 genera, and 198 families. A grid system was used to cover the Ivorian territory at spatial resolution of 0.75° x 0.75°. Indices of evenness and completeness were calculated to characterize sampling and identify floristically well-known regions. The exploration of the Ivorian territory is far from uniform, such that some areas were more densely surveyed, but others partially or not at all. The regions of Grands Ponts, Agnéby-Tiassa, Loh-Djiboua, part of Gbèkè, Boukani, San Pedro and Cavally were floristically well known; environmentally, the largest gaps in coverge were in the mountains in western Côte d'Ivoire.<strong></strong></p>
RESUMECette étude a pour but de relever la diversité et l'endémisme des Rubiaceae, de faire une analyse de la distribution spatiale de ses espèces recensées en Côte d'Ivoire. Le Système d'Information Géographique (SIG) a été utilisé pour réaliser des cartes de distribution spatiale de chaque espèce. Le choix de la famille des Rubiaceae se justifie par le fait qu'elle est l'une des familles les plus importantes de la flore tropicale tant sur le plan floristique par l'abondance et la variété de ces espèces que sur le plan économique, médical et ornemental. This study aimed at identifing the diversity and endemism of the Rubiaceae, analyzing the spatial distribution of species found in Côte d'Ivoire. The Geographic Information System (GIS) was used to produce spatial distribution maps of each species. The choice of the Rubiaceae family is justified by the fact that it is one of the most important families of the tropical flora both in terms of floristics by the abundance and variety of these species and economic, medical and ornamental.The samples used were extracted from the SIG IVOIRE database. A grid system was used to cover the Ivorian territory, Spatial structure indices were calculated. The floristic aspect revealed 1623 samples grouped into 83 genera and 282 species of which 2% are F.N. TUO et al. / Int. J. Biol. Chem. Sci. 11(2): 777-797, 2017 778 endemic to Côte d'Ivoire. The spatial distribution map of all the samples showed the degrees of prospecting in Côte d'Ivoire. Some areas were more explored than others.
Cola lorougnonis is an endemic, rare, and treated species. It was recently recorded in Dékpa forest near Agbaou (a village of Divo region, Côte d'Ivoire). In the same forest, 20 other rare and endemic plant species were recorded. Accurate modeling of geographical distributions of these species is crucial to various applications in ecology and biodiversity conservation. The present study analyzed suitable habitat models for the 21 species. The main objective was to test geographical predictions for the focused species: Cola lorougnonis. We used Maxent modelling method for predicting potential suitable habitats combining environmental variables and species records. We evaluated Maxent predictions using the area under the receiver-operating characteristic curve (AUC). For each species, the map of distribution was engineered using DIVA-GIS. We compared the suitable habitat areas among species. Principal Canonical Analysis allowed the ordination of species according to environmental variables. AUC values allowed to get 11 species with excellent distribution models, 8 species with good distribution models, and 2 species with predictive models considered as acceptable. Cola lorougnonis (AUC = 0.99) and Drypetes singroboensis (AUC = 0.96) have the same focused area: moist semi-deciduous forest in Côte d'Ivoire. They are more sensitive to changes in rainfall of both warmest and coldest seasons. The State of Côte d'Ivoire has to undertake monitoring, assessment and reporting of conservation status facilitation for all habitats where these species could be found within the territory. Additional studies focusing on the investigation areas and niche models onto future conditions of climate could be considered.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.