The phrase "adaptive dynamics" is correct and usable in written English.
It is typically used in the context of biology, ecology, or evolutionary theory to describe the changes in traits of populations over time in response to environmental changes.
Example: "The study of adaptive dynamics helps researchers understand how species evolve in response to shifting ecological pressures."
Alternatives: "evolutionary dynamics" or "adaptive evolution".
We study the adaptive dynamics of predatorprey systems modeled by a dynamical system in which the traits of predators and prey are allowed to evolve by small mutations.
Kisdi, E. & Geritz, S. A. H. Adaptive dynamics: a framework to model evolution in the ecological theatre.
Abrams, P. A. Modelling the adaptive dynamics of traits involved in inter- and intraspecific interactions: An assessment of three methods.
Michael Doebeli investigates adaptive diversification using the mathematical framework of adaptive dynamics.
Her research interests focus on the adaptive dynamics of stem cells and tissues, with emphasis on heterogeneity and tissue-level control of stem cell populations.
Her work on game theory focuses on adaptive dynamics in networks and large games, and issues of new equilibrium concepts and computation of equilibria.
These adaptive dynamics have been explained in terms of populations moving towards the top of peaks on rugged fitness landscapes.
Evolutionary branching is a paradigmatic feature of adaptive dynamics that serves as a basic metaphor for adaptive diversification, and Doebeli explores the scope of evolutionary branching in many different ecological scenarios, including models of coevolution, cooperation, and cultural evolution.
Recent results indicate that adaptive dynamics may often not converge to equilibrium points and instead generate complicated trajectories if evolution takes place in high-dimensional phenotype spaces.
With the methods of adaptive dynamics, we derive both analytical and numerical results for the evolution of immigration when life-history traits are patch-type dependent.
Here we first provide a method to construct individual-based models such that they faithfully reproduce the given adaptive dynamics attractor without diversification.
