A simple explanation for taxon abundance patterns

For taxonomic levels higher than species, the abundance distributions of the number of subtaxa per taxon tend to approximate power laws but often show strong deviations from such laws. Previously, these deviations were attributed to finite-time effects in a continuous-time branching process at the generic level. Instead, we describe herein a simple discrete branching process that generates the observed distributions and find that the distribution's deviation from power law form is not caused by disequilibration, but rather that it is time independent and determined by the evolutionary properties of the taxa of interest. Our model predicts—with no free parameters—the rank-frequency distribution of the number of families in fossil marine animal orders obtained from the fossil record. We find that near power law distributions are statistically almost inevitable for taxa higher than species. The branching model also sheds light on species-abundance patterns, as well as on links between evolutionary processes, self-organized criticality, and fractals.

Geographic and climatic control of primate diversity.

Although the comparative ecology of primates has been relatively well studied and there have been a number of outstanding studies of individual primate communities, the factors determining primate species diversity on either a local or regional level are largely unexplored. Understanding the determinants of species abundance is an important aspect of biodiversity and is critical for interpreting the comparative ecology of these different communities and for designing effective strategies of conservation. Comparative analysis of species diversity in more than 70 primate communities from South America, Africa, Madagascar, and Asia shows that on major continental areas and large tropical islands, there is a high positive correlation between the number of primate species and the area of tropical forest. Within major continental areas, the species diversity at individual sites is highly correlated with mean annual rainfall for South America, Africa, and Madagascar, but not Asia.