Abstract:Over the past 15 years, the number of papers focused on ‘eco‐evo dynamics’ has increased exponentially (Figure 1). This pattern suggests the rapid growth of a new, integrative discipline. We argue this overstates the case. First, the terms ‘eco‐evo dynamics’ and ‘eco‐evo interactions’ are used too imprecisely. As a result, many studies that claim to describe eco‐evo dynamics are actually describing basic ecological or evolutionary processes. Second, these terms are often used as if the study of how ecological … Show more
“…Within the exponentially increasing numbers of studies published in the field of Eco-Evolution (Bassar et al, 2021), the number of studies quantifying the relative contributions of both aspects of diversity change for community properties or mean trait changes are still scarce. Existing partitioning metrics, which allow quantifying the ecological and evolutionary contributions, could be a valuable tool to assess the relative importance of intraspecific diversity effects for community-level responses.…”
This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
“…Within the exponentially increasing numbers of studies published in the field of Eco-Evolution (Bassar et al, 2021), the number of studies quantifying the relative contributions of both aspects of diversity change for community properties or mean trait changes are still scarce. Existing partitioning metrics, which allow quantifying the ecological and evolutionary contributions, could be a valuable tool to assess the relative importance of intraspecific diversity effects for community-level responses.…”
This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
“…Our formalism has strong links with the current interest in clarifying the connection between adaptive dynamics and quantitative genetics models (Abrams, 2001; Day, 2005; Lion, 2018c) and analysing eco-evolutionary dynamics at different time scales (see e.g. Bassar et al (2021)). This has led to various theoretical developments that employ very similar ideas to those we use here, and focus on fundamental ecological questions such as transient dynamics (Day & Proulx, 2004), community stability (Barabás & D’Andrea, 2016), multivariate traits (Mullon & Lehmann, 2019), demographic stochasticity (Débarre & Otto, 2016) or periodic environments (Lion & Gandon, 2021).…”
Our understanding of the evolution of quantitative traits in nature is still limited by the challenge of including realistic trait distributions in the context of frequency-dependent selection and ecological feedbacks. We develop a theoretical framework to analyse the dynamics of populations composed of several morphs and structured into distinct classes (e.g. age, size, habitats, infection status, species…). Our approach extends to class-structured populations a recently introduced “oligomorphic approximation” which bridges the gap between adaptive dynamics and quantitative genetics approaches and allows for the joint description of the dynamics of ecological variables and of the moments of multimodal trait distributions. We also introduce a new approximation to simplify the eco-evolutionary dynamics using reproductive values. This effectively extends Lande’s univariate theorem not only to frequency- and density-dependent selection but also to multimodal trait distributions. We illustrate the effectiveness of this approach by applying it to the important conceptual case of two-habitat migration-selection models. In particular, we use our approach to predict the equilibrium trait distributions in a local adaptation model with asymmetric migration and habitat-specific mutational variance. We discuss the theoretical and practical implications of our results and sketch perspectives for future work.
“…In theoretical studies, common approaches assume continuous quantitative traits controlled by many loci with small effects:true0dzfalse¯dt=ffalse(z¯,Nfalse)and1emtrue0dNdt=gfalse(z¯,Nfalse),}where zfalse¯ is a mean value of a quantitative trait, N is a population density, and f and g represent their dynamics [12,18,20]. Mean trait dynamics is often represented bytrue0dzfalse¯dt=ν∂W¯∂z¯,where ν is additive genetic variance and Wfalse¯ is population mean fitness (i.e.…”
Section: Common Approaches In Eco-evolutionary Dynamicsmentioning
confidence: 99%
“…The resultant feedback between ecological processes and rapid adaptive evolution is called eco-evolutionary dynamics [12]. Eco-evolutionary dynamics is one of the most active research areas in ecology and evolutionary biology [13][14][15][16][17][18][19][20] not only for the synthesis of these two basic sciences, but also for conservation and management of wild organisms rapidly evolving in response to drastic environmental changes [21][22][23].…”
Recent studies have revealed the importance of feedbacks between contemporary rapid evolution (i.e. evolution that occurs through changes in allele frequencies) and ecological dynamics. Despite its inherent interdisciplinary nature, however, studies on eco-evolutionary feedbacks have been mostly ecological and tended to focus on adaptation at the phenotypic level without considering the genetic architecture of evolutionary processes. In empirical studies, researchers have often compared ecological dynamics when the focal species under selection has a single genotype with dynamics when it has multiple genotypes. In theoretical studies, common approaches are models of quantitative traits where mean trait values change adaptively along the fitness gradient and Mendelian traits with two alleles at a single locus. On the other hand, it is well known that genetic architecture can affect short-term evolutionary dynamics in population genetics. Indeed, recent theoretical studies have demonstrated that genetic architecture (e.g. the number of loci, linkage disequilibrium and ploidy) matters in eco-evolutionary dynamics (e.g. evolutionary rescue where rapid evolution prevents extinction and population cycles driven by (co)evolution). I propose that theoretical approaches will promote the synthesis of functional genomics and eco-evolutionary dynamics through models that combine population genetics and ecology as well as nonlinear time-series analyses using emerging big data.
This article is part of the theme issue ‘Genetic basis of adaptation and speciation: from loci to causative mutations’.
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