00875nas a2200277   4500008004100000245014500041210006900186260003400255300001000289653001900299100001500318700001800333700001600351700002300367700001600390700001600406700001400422700001500436700001300451700001900464700001600483700001600499700001500515700001500530856005200545       2009                        eng d00aApport des inventaires des Orchidaceae et des Rubiaceae dans l'identification des Zones d'Importance pour la COnservation (ZICO) au Cameroun0 aApport des inventaires des Orchidaceae et des Rubiaceae dans lid  aVUB-ULB, Brusselsc27/03/2009  a31-3410aOrchids Africa1 aSonké, B.1 aDroissart, V.1 aStevart, T.1 aDahdouh-Guebas, F.1 aBarbier, N.1 aBogaert, J.1 aHardy, O.1 aKoedam, N.1 aMahy, G.1 aParmentier, I.1 aSchmitz, N.1 aStevart, T.1 aTriest, L.1 aMeerts, P.  uhttps://rubiaceae-africa.myspecies.info/node/4702882nas a2200169   4500008004100000020001400041245009100055210006900146300001200215490000700227520235400234653001902588100001902607700001602626700001802642856005202660       2005                        eng d  a0305-027000aThe inselberg flora of Atlantic Central Africa. I. Determinants of species assemblages0 ainselberg flora of Atlantic Central Africa I Determinants of spe  a685-6960 v323 a<p>Aims To identify the relative contributions of environmental determinism, dispersal limitation and historical factors in the spatial structure of the floristic data of inselbergs at the local and regional scales, and to test if the extent of species spatial aggregation is related to dispersal abilities. Location Rain forest inselbergs of Equatorial Guinea, northern Gabon and southern Cameroon (western central Africa). Methods We use phytosociological releves and herbarium collections obtained from 27 inselbergs using a stratified sampling scheme considering six plant formations. Data analysis focused on Rubiaceae, Orchidaceae, Melastomataceae, Poaceae, Commelinaceae, Acanthaceae, Begoniaceae and Pteridophytes. Data were investigated using ordination methods (detrended correspondence analysis, DCA; canonical correspondence analysis, CCA), Sorensen&#39;s coefficient of similarity and spatial autocorrelation statistics. Comparisons were made at the local and regional scales using ordinations of life-form spectra and ordinations of species data. Results At the local scale, the forest-inselberg ecotone is the main gradient structuring the floristic data. At the regional scale, this is still the main gradient in the ordination of life-form spectra, but other factors become predominant in analyses of species assemblages. CCA identified three environmental variables explaining a significant part of the variation in floristic data. Spatial autocorrelation analyses showed that both the flora and the environmental factors are spatially autocorrelated: the similarity of species compositions within plant formations decreasing approximately linearly with the logarithm of the spatial distance. The extent of species distribution was correlated with their a priori dispersal abilities as assessed by their diaspore types. Main conclusions At a local scale, species composition is best explained by a continuous cline of edaphic conditions along the forest-inselberg ecotone, generating a wide array of ecological niches. At a regional scale, these ecological niches are occupied by different species depending on the available local species pool. These subregional species pools probably result from varying environmental conditions, dispersal limitation and the history of past vegetation changes due to climatic fluctuations.</p>
10aOrchids Africa1 aParmentier, I.1 aStevart, T.1 aHardy, O., J.  uhttps://rubiaceae-africa.myspecies.info/node/32