Related Experiment Video
Updated: May 8, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Predicting the loss of phylogenetic diversity under non-stationary diversification models
1Collège de France, Center for Interdisciplinary Research in Biology CNRS UMR 7241, Paris, France.
Abstract:
For many species, the current high rates of extinction are likely to result in a significant loss of biodiversity. The evolutionary heritage of biodiversity is frequently quantified by a measure called phylogenetic diversity (PD). We predict the loss of PD under a wide class of phylogenetic tree models, where speciation rates and extinction rates may be time-dependent, and assuming independent random species extinctions at the present. We study the loss of PD when K contemporary species are selected uniformly at random from the N extant species as the surviving species, while the remaining N-K become extinct (N and K being random variables). We consider two models of species sampling, the so-called field of bullets model, where each species independently survives the extinction event at the present with probability p, and a model for which the number of surviving species is fixed. We provide explicit formulae for the expected remaining PD in both models, conditional on N=n, conditional on K=k, or conditional on both events. When N=n is fixed, we show the convergence to an explicit deterministic limit of the ratio of new to initial PD, as n→∞, both under the field of bullets model, and when K=kn is fixed and depends on n in such a way that kn/n converges to p. We also prove the convergence of this ratio as T→∞ in the supercritical, time-homogeneous case, where N simultaneously goes to ∞, thereby strengthening previous results of Mooers et al. (2012).
Related Concept Videos
Speciation Rates
Genetics of Speciation
Genetic Drift
Conservation of Declining Populations
Mutation, Gene Flow, and Genetic Drift
Survival Tree
Building a Survival Tree
Constructing a survival tree begins...

