Coevolution of slow–fast populations: evolutionary sliding, evolutionary pseudo-equilibria and complex Red Queen dynamics

Dercole, Fabio; Ferrière, Régis; Gragnani, Alessandra; Rinaldi, Sergio

doi:10.1098/rspb.2005.3398

Cited by 81 publications

(87 citation statements)

References 43 publications

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“…This results in insight into how evolutionary processes alter the ecological dynamics of communities. Previous studies, including those on adaptive dynamics (46,47), have used the same body of theory to reduce model complexity and study eco-evolutionary dynamics in the limit where evolution is much slower than ecology (48,49). The slow evolution limit yields insight into how ecological processes alter the evolutionary dynamics of species.…”

Section: Discussionmentioning

confidence: 99%

Coevolution can reverse predator–prey cycles

Cortez

Weitz

2014

Proc. Natl. Acad. Sci. U.S.A.

112

186

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A hallmark of Lotka-Volterra models, and other ecological models of predator-prey interactions, is that in predator-prey cycles, peaks in prey abundance precede peaks in predator abundance. Such models typically assume that species life history traits are fixed over ecologically relevant time scales. However, the coevolution of predator and prey traits has been shown to alter the community dynamics of natural systems, leading to novel dynamics including antiphase and cryptic cycles. Here, using an eco-coevolutionary model, we show that predator-prey coevolution can also drive population cycles where the opposite of canonical Lotka-Volterra oscillations occurs: predator peaks precede prey peaks. These reversed cycles arise when selection favors extreme phenotypes, predator offense is costly, and prey defense is effective against low-offense predators. We present multiple datasets from phage-cholera, mink-muskrat, and gyrfalcon-rock ptarmigan systems that exhibit reversed-peak ordering. Our results suggest that such cycles are a potential signature of predator-prey coevolution and reveal unique ways in which predator-prey coevolution can shape, and possibly reverse, community dynamics.eco-coevolutionary dynamics | fast-slow dynamics | population biology | community ecology

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Section: Discussionmentioning

confidence: 99%

Coevolution can reverse predator–prey cycles

Cortez

Weitz

2014

Proc. Natl. Acad. Sci. U.S.A.

112

186

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“…Such models may also prove important in explaining a wider range of behaviours that may be detrimental to population-wide reproductive output. There is no general guarantee that evolution steers populations away from extinction (Boots & Sasaki 2003;Rankin & Ló pez-Sepulcre 2005;Dercole et al 2006;Rankin et al 2007), but if extinctions first occur on a local scale then sufficient recolonizing ability can aid persistence.…”

Section: Discussionmentioning

confidence: 99%

How populations persist when asexuality requires sex: the spatial dynamics of coping with sperm parasites

2008

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The twofold cost of sex implies that sexual and asexual reproduction do not coexist easily. Asexual forms tend to outcompete sexuals but may eventually suffer higher extinction rates, creating tension between short-and long-term advantages of different reproductive modes. The 'short-sightedness' of asexual reproduction takes a particularly intriguing form in gynogenetic species complexes, in which an asexual species requires sperm from a related sexual host species to trigger embryogenesis. Asexuals are then predicted to outcompete their host, after which neither species can persist. We examine whether spatial structure can explain continued coexistence of the species complex, and assess the evidence based on data on the Amazon molly (Poecilia formosa). A modification of the Levins metapopulation model creates two regions of good prospects for coexistence, connected by a region of poorer patch occupancy levels. In the first case, mate discrimination and/or niche differentiation keep local extinction rates low, and most patches contain both species; the other possibility resembles host-parasite dynamics where parasites frequently drive the host locally extinct. Several dynamical features are counterintuitive and relate to the parasitic nature of interactions in the species complex: for example, high local extinction rates of the asexual species can be beneficial for its own persistence. This creates a link from the evolution of sexual reproduction to that of prudent predation.

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“…As a consequence of this close linkage between ecological and evolutionary dynamics, a population that initially consists of individuals with a common trait can gradually diversify into several sub-populations each holding a different trait. Other surprising evolutionary outcomes have also been documented, including evolutionary suicide ( [19,20]) and Red-Queen dynamics ( [21][22][23]). …”

Section: Introductionmentioning

confidence: 98%

The Hitchhiker’s Guide to Adaptive Dynamics

Brännström

Johansson

Festenberg

2013

Games

153

156

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Adaptive dynamics is a mathematical framework for studying evolution. It extends evolutionary game theory to account for more realistic ecological dynamics and it can incorporate both frequency-and density-dependent selection. This is a practical guide to adaptive dynamics that aims to illustrate how the methodology can be applied to the study of specific systems. The theory is presented in detail for a single, monomorphic, asexually reproducing population. We explain the necessary terminology to understand the basic arguments in models based on adaptive dynamics, including invasion fitness, the selection gradient, pairwise invasibility plots (PIP), evolutionarily singular strategies, and the canonical equation. The presentation is supported with a worked-out example of evolution of arrival times in migratory birds. We show how the adaptive dynamics methodology can be extended to study evolution in polymorphic populations using trait evolution plots (TEPs). We give an overview of literature that generalises adaptive dynamics techniques to other scenarios, such as sexual, diploid populations, and spatially-structured populations. We conclude by discussing how adaptive dynamics relates to evolutionary game theory and how adaptive-dynamics techniques can be used in speciation research.

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Coevolution of slow–fast populations: evolutionary sliding, evolutionary pseudo-equilibria and complex Red Queen dynamics

Cited by 81 publications

References 43 publications

Coevolution can reverse predator–prey cycles

Coevolution can reverse predator–prey cycles

How populations persist when asexuality requires sex: the spatial dynamics of coping with sperm parasites

The Hitchhiker’s Guide to Adaptive Dynamics

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