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Estimating the Effect of Competition on Trait Evolution Using Maximum Likelihood Inference.

Jonathan Drury1, Julien Clavel2, Marc Manceau2

  • 1Institut de Biologie de l'Ecole Normale Supérieure (IBENS), CNRS, Inserm, Ecole Normale Supérieure, PSL Research University, F-75005 Paris, France drury@biologie.ens.fr.

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Summary
This summary is machine-generated.

Competition significantly influences species

Keywords:
Adaptive radiationAnoliscommunity phylogeneticsinterspecific competitionmaximum likelihoodphylogenetic comparative methodstrait evolution

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Area of Science:

  • Evolutionary Biology
  • Ecology
  • Phylogenetics

Background:

  • Classical ecological theories emphasize interspecific competition as a key driver of evolution.
  • Existing trait evolution models often overlook competition's impact, treating trait changes as independent across lineages.
  • Diversity-dependent models, while advanced, still fail to account for trait similarity's influence on evolutionary dynamics.

Purpose of the Study:

  • To develop and validate a new model incorporating interspecific competition and geographic co-occurrence into trait evolution.
  • To create a maximum likelihood framework for analyzing phylogenetic and phenotypic data under competitive pressures.
  • To investigate the role of competition and geography in adaptive radiations using empirical data.

Main Methods:

  • Developed a novel 'matching competition' model for trait evolution.
  • Implemented a maximum likelihood approach to fit the model to phylogenetic and phenotypic data.
  • Utilized simulations to validate parameter estimation accuracy and applied biogeographic methods to define sympatric interactions.

Main Results:

  • The new model accurately estimates parameters across diverse scenarios.
  • Models incorporating competition and geography significantly outperform other models when applied to Anolis lizard data.
  • Geographic context and species similarity in traits are crucial factors in phenotypic evolution.

Conclusions:

  • The 'matching competition' model offers a powerful new tool for studying interspecific interactions' influence on phenotypic evolution.
  • This work represents a significant advancement in integrating ecological interactions into evolutionary models.
  • Accounting for competition and geography improves our understanding of adaptive radiations and evolutionary processes.