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Abstract Detail

Modeling the processes that mediate speciation and extinction rates across plants

Caetano, Daniel S [1], O'Meara, Brian [2], Beaulieu, Jeremy [3].

Extensions of the geographical SSE framework and their use to accommodate complex diversification scenarios.

The Geographical State-dependent Speciation and Extinction model (GeoSSE) integrates lineage diversification and geographical processes to help explain how the occupation of certain areas could have influenced the origination and extinction rates of lineages. This model has been extended to allow for hidden rates (the GeoHiSSE model), that help us account for the rate heterogeneity often observed in empirical phylogenetic trees. Besides hidden rates, the GeoHiSSE implementation allows for two extensions of the original GeoSSE framework. The "+extinction" approach independently estimates the rate of range reduction (how often local extinction happens in a given area) and of lineage extinction (the rate at which lineages go completely extinct). The original implementation of the GeoSSE framework did not allow for such distinction, making it impossible to test hypotheses about the influence of range reduction without confounding it with extinction. In addition, GeoHiSSE can drop the assumption of cladogenetic effects, potentially allowing for the investigation of the role of geographic bounds in the pattern of diversification. I will discuss the performance of these extensions and enumerate scenarios in which they would be an interesting addition to the type of models implemented under the geographical SSE framework.

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1 - University of São Paulo, Department of Ecology, São Paulo, Brazil
2 - University of Tennessee, Knoxville, TN, USA
3 - University Of Arkansas, Department Of Biological Sciences, 601 SCEN, Fayetteville, AR, 72702, United States

state-dependent speciation and extinction
Model comparison
Model adequacy.

Presentation Type: Colloquium Presentations
Session: C01, Modeling the processes that mediate speciation and extinction rates across plants
Location: /
Date: Monday, July 19th, 2021
Time: 10:45 AM(EDT)
Number: C01003
Abstract ID:819
Candidate for Awards:None

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