Toward the understanding of complex population dynamics: planktonic community as a model system

Yoshida, Takehito

doi:10.1007/s11284-005-0074-5

Cited by 14 publications

(7 citation statements)

References 62 publications

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“…The evolution of the rotifer population toward asexual reproduction was a critical component in laboratory studies of algalrotifer dynamics . Recent advances of other mechanisms underlying plankton population dynamics such as complex interactions, and ecological stoichiometry are reviewed in Yoshida (2005).…”

Section: Overview Of Population Level Experimentsmentioning

confidence: 99%

Inducible defenses and rotifer food chain dynamics

2007

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Theoretical studies have predicted that inducible defenses affect food chain dynamics and persistence. Here we review and evaluate laboratory experiments that tested hypotheses developed from these theoretical studies. This review specifically focuses on the effects of inducible defenses in phytoplankton-rotifer food chain dynamics. First, we describe the occurrence of colony formation within different strains of green algae (Scenedesmaceae) in response to infochemicals released during grazing by the herbivorous rotifer Brachionus calyciflorus. Then we examined the effects of inducible defenses on the population dynamics of this planktonic system in which algal strains that differed in their defense strategies were used. Simple food chains were composed of green algae (Scenedesmaceae), herbivorous rotifers (Brachionus calyciflorus) and carnivorous rotifers (Asplanchna brightwellii). In this system B. calyciflorus exhibits an inducible defense against predation by developing long postero-lateral spines. Experimental studies showed that inducible defenses, as opposed to their absence, could prevent highamplitude population fluctuations. We discuss the dual effects of induced defenses on extinction probabilities and consider the fit of a theoretical model to experimental data to understand the mechanisms that underlie the observed dynamics.

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Section: Overview Of Population Level Experimentsmentioning

confidence: 99%

Inducible defenses and rotifer food chain dynamics

2007

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“…However, this view has been subjected to re-examination recently. As the examples of rapid evolutionary changes have increased (Thompson 1998;Carroll et al 2007;Carroll 2008), researchers have come to acknowledge that evolutionary process can be a significant determinant of various ecological phenomena or parameters such as the cycles of population dynamics (Abrams and Matsuda 1997;Yoshida et al 2003;Hairston et al 2005;Yoshida 2005). Accordingly, to comprehensively understand biological communities and ecosystems, ecological theory should be re-organized on the assumption that phenotypes of organisms can change through evolution on ''ecological time scales'' (Carroll et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Weevils and camellias in a Darwin's race: model system for the study of eco‐evolutionary interactions between species

Toju

2011

Ecological Research

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Organisms are surrounded by their predators, parasites, hosts, and mutualists, being involved in reciprocal adaptation processes with such ''biotic environment''. The concept of ''coevolution'', therefore, provides a basis for the comprehensive understanding of evolutionary and ecological dynamics in biological communities and ecosystems. Recent studies have shown that coevolutionary processes are spatially heterogeneous and that traits mediating interspecific interactions can evolve rapidly in natural communities. Here, I discuss factors promoting the geographic differentiation of coevolutionary interactions, the spatial scales of the geographic structuring, and the pace of coevolutionary changes, reviewing findings in the arms race coevolution involving a long-mouthed weevil and its host camellia plant. Evolutionary, ecological, and population genetic studies on the system illuminated that viewpoints from the aspect of ''coevolving biosphere'' were important for predicting how ongoing anthropogenic change in global environment alter the spatiotemporal dynamics of biological communities.

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“…This type of population dynamic is not uncommon in forest and agricultural insect pests, and longer time series indicate that it may be characteristic of more systems than previously thought (e.g. Ferriere & Cazelles 1999, Yoshida 2005. Recent advances in theory, as well as some empirical tests, demonstrate that autocorrelated environmental signals can lead to high amplitude, irregular fluctuations and extinction, although persistence is possible with dispersal (e.g.…”

Section: Discussionmentioning

confidence: 91%

Spatial variation in population growth rate and community structure affects local and regional dynamics

Trzcinski

Walde

Taylor

2008

Journal of Animal Ecology

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Summary 1.Theory predicting that populations with high maximum rates of increase ( r max ) will be less stable, and that metapopulations with high average r max will be less synchronous, was tested using a small protist, Bodo , that inhabits pitcher plant leaves ( Sarracenia purpurea L.). The effects of predators and resources on these relationships were also determined. 2. Abundance data collected for a total of 60 populations of Bodo , over a period of 3 months, at six sites in three bogs in eastern Canada, were used to test these predictions. Mosquitoes were manipulated in half the leaves partway through the season to increase the range of predation rates. 3. Dynamics differed greatly among leaves and sites, but most populations exhibited one or more episodes of rapid increase followed by a population crash. Estimates of r max obtained using a linear mixed-effects model, ranged from 1·5 to 2·7 per day. Resource levels (captured insect) and midge abundances affected r max . 4. Higher r max was associated with greater temporal variability and lower synchrony as predicted. However, in contrast to expectations, populations with higher r max also had lower mean abundance and were more suppressed by predators. 5. This study demonstrates that the link between r max and temporal variability is key to understanding the dynamics of populations that spend little time near equilibrium, and to predicting and interpreting the effects of community structure on the dynamics of such populations.

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Toward the understanding of complex population dynamics: planktonic community as a model system

Cited by 14 publications

References 62 publications

Inducible defenses and rotifer food chain dynamics

Inducible defenses and rotifer food chain dynamics

Weevils and camellias in a Darwin's race: model system for the study of eco‐evolutionary interactions between species

Spatial variation in population growth rate and community structure affects local and regional dynamics

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