6–9 Jul 2026
Europe/Warsaw timezone

adapt3: matrix community models and adaptive dynamics in R

7 Jul 2026, 17:00
2h
Poster Poster

Speaker

Prof. Richard Shefferson (University of Tokyo)

Description

Adaptive dynamics focuses on assessing the role of natural selection in trait evolution and speciation. Matrix community models allow population matrix models to project together via aggregated density dependence. I present a new R package, adapt3, that develops community matrix projection and adaptive dynamics using matrix approaches, with the core kernels all programmed in C++. In adaptive dynamics, both pairwise and multiple invasibility analyses are possible, and the resulting population dynamics may be explored to assess evolutionary branching. The current approaches all assume competition via density dependence functions including the Ricker function, the Beverton-Holt function, the Usher function, the logistic function, and the additive limit function. I present 3 examples to show the strengths of the package.

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Keywords: Please list up to 5 keywords to help us find the right session for your contribution. ecology, evolution, matrix models
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Author

Prof. Richard Shefferson (University of Tokyo)

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