@proceedings {47,
	title = {Apport des inventaires des Orchidaceae et des Rubiaceae dans l{\textquoteright}identification des Zones d{\textquoteright}Importance pour la COnservation (ZICO) au Cameroun},
	year = {2009},
	note = {Talk},
	month = {27/03/2009},
	pages = {31-34},
	address = {VUB-ULB, Brussels},
	keywords = {Orchids Africa},
	author = {Sonk{\'e}, B. and Droissart, V. and Stevart, T.},
	editor = {Dahdouh-Guebas, F. and Barbier, N. and Bogaert, J. and Hardy, O. and Koedam, N. and Mahy, G. and Parmentier, I. and Schmitz, N. and Stevart, T. and Triest, L. and Meerts, P.}
}
@conference {48,
	title = {A new specimen database for Atlantic Central Africa (1): using Orchidaceae and Rubiaceae to boost conservation assessment process in the sub-region},
	booktitle = {XIXth AETFAT Congress},
	year = {2010},
	note = {Poster},
	month = {April 26 - 30, 2010},
	publisher = {Scripta Botanica Belgica 46},
	organization = {Scripta Botanica Belgica 46},
	type = {Poster},
	address = {Antananarivo, Madagascar},
	abstract = {462},
	keywords = {Orchids Africa},
	author = {Sonk{\'e}, B. and Droissart, V. and Stevart, T.}
}
@article {14,
	title = {Subsampling Herbarium Collections to Assess Geographic Diversity Gradients: A Case-Study with endemic Orchidaceae and Rubiaceae in Cameroon},
	journal = {Biotropica},
	volume = {44},
	number = {1},
	year = {2012},
	pages = {44-52},
	keywords = {Orchids Africa},
	author = {Droissart, V. and Hardy, O. and Sonk{\'e}, B. and Dahdouh-Guebas, F. and Stevart, T.}
}
@conference {15,
	title = {Contribution des Orchidaceae et des Rubiaceae end{\'e}miques d{\textquoteright}Afrique centrale atlantique {\`a} l{\textquoteright}{\'e}tude phytog{\'e}ographique du Cameroun},
	booktitle = {XVIII{\`e}me congr{\`e}s de l{\textquoteright}AETFAT},
	year = {2007},
	note = {Talk},
	month = {26 February {\textendash} 2 March 2007},
	type = {Talk},
	address = {Yaound{\'e}, Cameroon},
	keywords = {Orchids Africa},
	author = {Droissart, V. and Nguembou, C. and Sonk{\'e}, B. and Stevart, T.}
}
@article {17,
	title = {Do plant families with contrasting functional traits show similar patterns of endemism? A case study with Central African Orchidaceae and Rubiaceae},
	journal = {Biodiversity and Conservation},
	volume = {20},
	number = {7},
	year = {2011},
	pages = {1507-1531},
	keywords = {Orchids Africa},
	author = {Droissart, V. and Sonk{\'e}, B. and Hardy, O. J. and Simo, M. and Taedoumg, H. and Nguembou, K. C. and Stevart, T.}
}
@article {32,
	title = {The inselberg flora of Atlantic Central Africa. I. Determinants of species assemblages},
	journal = {Journal of Biogeography},
	volume = {32},
	number = {4},
	year = {2005},
	note = {Times Cited: 11},
	pages = {685-696},
	abstract = {<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>
},
	keywords = {Orchids Africa},
	isbn = {0305-0270},
	author = {Parmentier, I. and Stevart, T. and Hardy, O. J.}
}
