Laurent Lehmann

The paper derives invasion fitness and its directional derivative for group-structured populations under environmental stochasticity, showing how Hamilton's rule can be deduced from it.

The paper models how age-biased social learning evolves in structured populations, showing that individuals shift from learning from peers to elders as they age due to trade-offs between knowledge and accessibility.

The paper analyzes conditions for the emergence of adaptive polymorphism under long-term evolution, identifying negative trait-dependent selection as a unifying mechanism across ecological, social, and genetic interactions.

This paper analyzes directional and disruptive selection on non-plastic traits influencing ontogeny in age- and class-structured populations, showing how developmental and demographic interactions shape evolutionary outcomes.

This study uses a mathematical model to show that stochasticity in learning increases cumulative knowledge by promoting variability, which enhances selection for knowledge acquisition and investment in learning.

This study shows economic exchange promotes genetic diversity by creating negative frequency-dependent selection and supports adaptive polymorphism through different modes of exchange.

The paper models how social preferences evolve genetically, showing that Nash equilibria and inclusive fitness emerge as uninvadable strategies in pairwise interactions.

This study shows that coevolving learning schedules and teaching enhance cumulative knowledge and create a teacher-innovator syndrome across generations.

The paper develops a mathematical model to show how behavioral niche partitioning enables coexistence of seabird species through prey depletion halos and ideal free foraging.

The paper models the co-evolution of dispersal and social behavior, showing it leads to social polymorphism through linkage between dispersal and social traits.

This study examines the evolutionary stability of multiple traits in subdivided populations and finds that trait correlations depend on relatedness and dispersal dynamics.

The paper shows that uninvadability in heterogeneous populations can be characterized by three equivalent invasion fitness measures: lineage fitness, inclusive fitness, and reproductive numbers.