Chaitanya S. Gokhale

The paper models the evolution of emergence patterns in Clunio insects using replicator-mutator dynamics, showing how phenotypic variability and environmental cycles influence population-level synchronization.

This paper uses a mathematical model to show that reduced inhibition and strong metabolic activity can stabilize ectosymbiosis between microbes, supporting the idea that syntrophy can lead to physical integration.

The paper uses an individual-based model to show that competition-induced density-dependent fitness can drive sympatric allochronic divergence in Clunio marinus populations.

This study shows that social wound care can evolve in large groups, driven by injury rates and lethality rather than group size, using army ants as a case study.

The paper shows that early-life structured play in a safe environment improves learning-based adaptation in risky adult environments through reinforcement learning models.

This paper shows that Lotka-Volterra and replicator dynamics are equivalent even with non-linearities, highlighting their connection in ecology and evolution.

This study models herbicide resistance evolution in weeds, finding that small fitness costs and self-pollination reduce adaptation from standing genetic variation, and seed banks enhance adaptive potential.

This paper develops a methodology for optimal crop rotation strategies to control plant pathogens and maximise long-term yield while minimising pesticide use.

This paper studies the evolutionary dynamics of multiple games and shows that complex interactions can be understood through simplified evolutionary game theory concepts.

The paper analyzes how different migration modes affect the evolution of cooperation in multiplayer games, showing that coordination among migrants expands the range of games where cooperation can evolve.