Literature DB >> 29244555

Theoretical Approaches in Evolutionary Ecology: Environmental Feedback as a Unifying Perspective.

Sébastien Lion.   

Abstract

Evolutionary biology and ecology have a strong theoretical underpinning, and this has fostered a variety of modeling approaches. A major challenge of this theoretical work has been to unravel the tangled feedback loop between ecology and evolution. This has prompted the development of two main classes of models. While quantitative genetics models jointly consider the ecological and evolutionary dynamics of a focal population, a separation of timescales between ecology and evolution is assumed by evolutionary game theory, adaptive dynamics, and inclusive fitness theory. As a result, theoretical evolutionary ecology tends to be divided among different schools of thought, with different toolboxes and motivations. My aim in this synthesis is to highlight the connections between these different approaches and clarify the current state of theory in evolutionary ecology. Central to this approach is to make explicit the dependence on environmental dynamics of the population and evolutionary dynamics, thereby materializing the eco-evolutionary feedback loop. This perspective sheds light on the interplay between environmental feedback and the timescales of ecological and evolutionary processes. I conclude by discussing some potential extensions and challenges to our current theoretical understanding of eco-evolutionary dynamics.

Keywords:  Price equation; adaptive dynamics; eco-evolutionary feedback loop; selection gradient; separation of timescales; weak selection

Mesh:

Year:  2017        PMID: 29244555     DOI: 10.1086/694865

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  12 in total

1.  Privatization of public goods can cause population decline.

Authors:  Richard J Lindsay; Bogna J Pawlowska; Ivana Gudelj
Journal:  Nat Ecol Evol       Date:  2019-07-22       Impact factor: 15.460

2.  Modelling the evolution of viral oncogenesis.

Authors:  Carmen Lía Murall; Samuel Alizon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-05-27       Impact factor: 6.237

3.  Is It Necessary to Integrate Evo-Devo to the Analysis and Construction of Artificial Emotional Systems?

Authors:  Jorge Luis Hernández-Ochoa; Francisco Vergara-Silva
Journal:  Front Neurorobot       Date:  2022-05-31       Impact factor: 3.493

Review 4.  How frequency-dependent selection affects population fitness, maladaptation and evolutionary rescue.

Authors:  Erik I Svensson; Tim Connallon
Journal:  Evol Appl       Date:  2018-10-26       Impact factor: 5.183

5.  Aggregative cycles evolve as a solution to conflicts in social investment.

Authors:  Leonardo Miele; Silvia De Monte
Journal:  PLoS Comput Biol       Date:  2021-01-20       Impact factor: 4.475

6.  Epidemiological and evolutionary consequences of periodicity in treatment coverage.

Authors:  Alicia Walter; Sébastien Lion
Journal:  Proc Biol Sci       Date:  2021-03-10       Impact factor: 5.349

Review 7.  The stagnation paradox: the ever-improving but (more or less) stationary population fitness.

Authors:  Hanna Kokko
Journal:  Proc Biol Sci       Date:  2021-11-17       Impact factor: 5.349

8.  Frequency dependence and the predictability of evolution in a changing environment.

Authors:  Luis-Miguel Chevin; Zachariah Gompert; Patrik Nosil
Journal:  Evol Lett       Date:  2021-12-20

9.  Weak Selection and the Separation of Eco-evo Time Scales using Perturbation Analysis.

Authors:  Philip Gerlee
Journal:  Bull Math Biol       Date:  2022-03-19       Impact factor: 3.871

10.  Predicting N-Strain Coexistence from Co-colonization Interactions: Epidemiology Meets Ecology and the Replicator Equation.

Authors:  Sten Madec; Erida Gjini
Journal:  Bull Math Biol       Date:  2020-10-29       Impact factor: 1.758

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