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Pannetier, T.

Publications and source records attributed to Pannetier, T..

2 recordsLinked to original sources

Exponential diversity-dependent diversification emerges from an individual-based model with Lotka-Volterra competition

AbstractA long-standing question in macroevolution is whether diversification is governed by the same processes that structure diversity at ecological scales, particularly competition. This competition has led to the development of a model where diversification rates depend on diversity, analogous to density-dependence in population growth models. Various versions of this model have been widely used for inference, where the rate of speciation and/or extinction can be either a linear or a power function of species number. It is, however, unknown if either approximates the diversification process that arises from the general ecological setting proposed to lead to diversity-dependence. This is of concern for inference, as failure to include a model that appropriately represents the hypothesized scenario is likely to lead to erroneous inference. Here we use an individual-based model adapted from adaptive dynamics, where fitness is governed by resource availability and the density of competitors, to determine the shape of the diversity-dependence functions. We find that the diversity-dependent rate of speciation produced by the individual-based model is best approximated by an exponential function of species diversity, consistent with a view of macroevolution where diversity increases rapidly after mass extinctions or when new adaptive space becomes available. Although we do find diversity-dependence in the extinction rate, it remains low over the entire process and erases its own signal, so it cannot be recovered from reconstructed phylogenies. The support for a linear relationship for diversity-dependent diversification found in many empirical phylogenies suggests that either our adaptive dynamics model of speciation is inadequate or there is too little information contained in reconstructed phylogenies. We indeed find evidence for the latter when pruning extinct species from our simulated phylogenies, but this does not rule out the former.

evolutionary biology↗

DAISIEprep: an R package for the extraction and formatting of data for the island biogeography model DAISIE

O_LIPhylogenetic trees are commonly used to answer questions on biogeographical and diversification histories of different groups. C_LIO_LIRecently, new approaches have been developed that use community phylogenetic trees requiring a data structure distinct from the single phylogenetic trees that are commonly used, which may be a barrier to the utilisation of these approaches. C_LIO_LIDAISIE (Dynamic Assembly of Islands through Speciation, Immigration and Extinction) is an island biogeography model that can estimate rates of colonisation, speciation and extinction from phylogenetic data across insular communities, as well as simulate islands under those rates. C_LIO_LIHere we describe the DAISIEprep R package, a set of pre-processing tools to aid the extraction of data from one or many phylogenetic trees to generate data in a format interpretable by DAISIE for the application of island biogeography inference models. We present examples to illustrate the various data types that can be used. C_LIO_LIThe package includes simple algorithms to extract data on island colonists and account for bio-geographical, topological and taxonomic uncertainty. It also allows flexible incorporation of either missing species or entire insular lineages when phylogenetic data are not available. C_LIO_LIDAISIEprep enables reproducible and user-friendly data extraction and formatting, and will facili-tate addressing questions about island biogeography, diversification and anthropogenic impacts in insular systems. C_LI

evolutionary biology↗