Related Experiment Video
Updated: Apr 30, 2026

Resurrection of Dormant Daphnia magna: Protocol and Applications
Published on: January 19, 2018
Eco-evolutionary dynamics induced by massive mortality events
S Vincenzi1, A J Crivelli, W H Satterthwaite
1Center for Stock Assessment Research, Department of Applied Mathematics and Statistics, University of California, Santa Cruz, CA, 95064, U.S.A.; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Ponzio 34/5, I-20133, Milan, Italy.
Abstract:
An eco-genetic model tuned on a population of marble trout Salmo marmoratus subject to periodic flood events was used to explore how the evolution of growth rates interacting with density-dependent processes can modify size at age and population structure and in turn influence the resilience of populations. Fish with greater growth potential were assumed to have higher mortality rates. The results of simulations were compared between two scenarios, one in which populations may evolve growth rates and the other one in which the distribution of growth rates within a population is kept fixed. Evolving populations had a greater proportion of age 1 year individuals in the population, greater median length at age 3 years (the typical age at sexual maturity for S. marmoratus) and lower population sizes. The slightly smaller population sizes did not affect realized extinction risk. Resilience, defined as the number of years necessary to rebound from flood-induced population collapse, was on average from 2 to 3 years in both scenarios, with no significant difference between them. Moderate heritability of growth, relaxation of density-dependent processes at low densities and rapid recovery to a safe population size combine to limit the capacity to evolve faster recovery after flood-induced population collapses via changing growth rates.
More Related Videos
Related Concept Videos
Population Growth
Evolution of New Traits in Microbes
Genetic Drift
Evolutionary Processes in Microbes
Limits to Natural Selection
Life Histories

