title: Conservation priorities for Prunus africana defined with the aid of spatial analysis of genetic data and climatic variables.
abstract: Conservation priorities for Prunus africana, a tree species found across Afromontane regions, which is of great commercial interest internationally and of local value for rural communities, were defined with the aid of spatial analyses applied to a set of georeferenced molecular marker data (chloroplast and nuclear microsatellites) from 32 populations in 9 African countries. Two approaches for the selection of priority populations for conservation were used, differing in the way they optimize representation of intra-specific diversity of P. africana across a minimum number of populations. The first method (S1) was aimed at maximizing genetic diversity of the conservation units and their distinctiveness with regard to climatic conditions, the second method (S2) at optimizing representativeness of the genetic diversity found throughout the species' range. Populations in East African countries (especially Kenya and Tanzania) were found to be of great conservation value, as suggested by previous findings. These populations are complemented by those in Madagascar and Cameroon. The combination of the two methods for prioritization led to the identification of a set of 6 priority populations. The potential distribution of P. africana was then modeled based on a dataset of 1,500 georeferenced observations. This enabled an assessment of whether the priority populations identified are exposed to threats from agricultural expansion and climate change, and whether they are located within the boundaries of protected areas. The range of the species has been affected by past climate change and the modeled distribution of P. africana indicates that the species is likely to be negatively affected in future, with an expected decrease in distribution by 2050. Based on these insights, further research at the regional and national scale is recommended, in order to strengthen P. africana conservation efforts.
authors.affiliation: Headquarters, Bioversity International, Rome, Italy. b.vinceti@cgiar.org
authors.forename: Barbara
authors.initials: B
authors.lastname: Vinceti
authors.forename: Judy
authors.initials: J
authors.lastname: Loo
authors.forename: Hannes
authors.initials: H
authors.lastname: Gaisberger
authors.forename: Maarten J
authors.initials: MJ
authors.lastname: van Zonneveld
authors.forename: Silvio
authors.initials: S
authors.lastname: Schueler
authors.forename: Heino
authors.initials: H
authors.lastname: Konrad
authors.forename: Caroline A C
authors.initials: CA
authors.lastname: Kadu
authors.forename: Thomas
authors.initials: T
authors.lastname: Geburek
mesh_terms: D000349:Africa; D000483:Alleles; D002980:Climate; D016000:Cluster Analysis; D003247:Conservation of Natural Resources; D014644:Genetic Variation; D005843:Geography; D006239:Haplotypes / Q000235:genetics; D008957:Models, Genetic; D000068218:Prunus africana / Q000235:genetics*; D062206:Spatial Analysis; D013223:Statistics as Topic
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