Input file for the analysis of chloroplastic trnC-pet1N sequences diversity of Erythrophleum suaveolens

List of individuals, geographical coordinates (decimal degrees), haplotypes and matrix of genetic distance between haplotypes

Input file for the analysis of chloroplastic trnC-pet1N sequences diversity of Scorodophloeus zenkeri

List of individuals, geographical coordinates (decimal degrees), haplotypes and matrix of genetic distance between haplotypes

Input file for the analysis of chloroplastic trnC-pet1N sequences diversity of Greenwayodendron suaveolens subsp. suaveolens var. suaveolens

List of individuals, geographical coordinates (decimal degrees), haplotypes and matrix of genetic distance between haplotypes

Input file for the analysis of chloroplastic trnC-pet1N sequences diversity of Afrostyrax kamerunensis

List of individuals, geographical coordinates (decimal degrees), haplotypes and matrix of genetic distance between haplotypes

Input file for the analysis of chloroplastic trnC-pet1N sequences diversity of Milicia excelsa

List of individuals, geographical coordinates (decimal degrees), haplotypes and matrix of genetic distance between haplotypes

Input file for the analysis of chloroplastic trnC-pet1N sequences diversity of Afrostyrax lepidophyllus

List of individuals, geographical coordinates (decimal degrees), haplotypes and matrix of genetic distance between haplotypes

Additional file 1: of Exploring the floristic diversity of tropical Africa

Two examples of turnover rate calculation. The figure shows two examples to estimate the turnover rate used herein. For μ = 1° (meso-scale) and μ = 2° (large-scale). The focal sampling unit (SU) is highlighted in red. A circle of distance μ is drawn around the red SU. All SUs included in the circle and with record number above 100 are then selected (in grey). In white, non-selected SUs. The geographical distance between all selected SUs is then calculated based on the centroid of the convex hull around the records for each SU (not shown). The pairwise floristic similarity between all selected SUs is then computed as 1–βsim. The linear relation between the geographical distance and the floristic similarity between all comparisons is computed (line in red). The distance (in kilometres) that halves the initial floristic similarity is calculated (vertical line) and used to define the turnover rate for each SU. (PNG 917 kb

Additional file 5: of Exploring the floristic diversity of tropical Africa

Geographic distribution of records across tropical Africa. (a) The number of species known from a particular number of records. (b) Number of species known from a particular number of 0.5° sampling units. (c) Number of species in function of their calculated range size (convex hull). (PNG 1422 kb

Additional file 3: of Exploring the floristic diversity of tropical Africa

The distribution of tropical African forests. Map showing the 0.1° sampling units selected as forest for our study based on the map of Mayaux et al. [116]. Light-green: west African forests; deep-green: central African forests; medium-green: east African forests. (PNG 136 kb