Rapid evolution drives ecological dynamics in a predator–prey system

By Takehito Yoshida, L. E. Jones, Stephen P. Ellner, G. Fussmann, N. Hairston. Nature, 2003

1,034 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/4156a81a1c825a504f80c8c419a9529d1eab670a

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Citations in the corpus

Evolutionary game theory: Temporal and spatial effects beyond replicator dynamics (2009, background): “act, selection may occur faster than the interaction between individuals (or of the individuals with their environment). Thus, recent experimental studies have reported observations of fast selection [38, 39, 40]. It is also conceivable that in man-monitored or laboratory processes one might make se”
Phytoplankton niches, traits and eco-evolutionary responses to global environmental change (2012, positive): “This intraspecific trait variation provides a rich basis for selection of the best adapted genotypes, often leading to a faster evolutionary response compared to monoclonal responses (Yoshida et al. 2003, Barrett & Schluter 2008).”
Eco-evolutionary dynamics (2016, methodology): “B (2009) mechanism for population cycles in voles (Boonstra & Boag 1987), it was shown in other systems that natural selection on life history and genetic variation can influence population dynamics (Sinervo et al. 2000; Yoshida et al. 2003).”
A protein signal triggers sexual reproduction in Brachionus plicatilis (Rotifera) (2006, background): “These authors argued that the dynamics of natural rotifer populations can only be understood by considering rapid evolutionary change as part of their demographics and that evolutionary and ecological time scales overlap (see also Yoshida et al. 2003).”
Trait-Based Community Ecology of Phytoplankton (2008, background): “Genetic shifts in trait values of a given species can easily occur over relatively short timescales (within a single growing season), often because of clonal selection (Kardinaal et al. 2007, Yoshida et al. 2003).”
Rapid evolution and the convergence of ecological and evolutionary time (2005, background): “…three studies suggest that rates of character evolution can be considered rapid because of their potential ecological effects on population dynamics (Yoshida et al. 2003, 2004), community interactions (Hairston et al. 1999) and ecosystem processes (Elser et al. 2000; Gorokhova et al. 2002).”
Evolution in a Community Context: Trait Responses to Multiple Species Interactions* (2018, background): “…to multiple interactions in a community context, such evolution may indirectly affect the magnitude or direction of interactions with other species (Yoshida et al. 2003; terHorst et al. 2010b), population demography (Reznick et al. 2012), species diversity (Schreiber et al. 2011), community…”
Recent advances in ecological stoichiometry: insights for population and community ecology (2005, background): “An alternative biological mechanism (rapid evolution of algae) better explained the cyclic consumerresource dynamics than algal stoichiometry (Shertzer et al. 2002, Yoshida et al. 2003).”
Evolution on ecological time‐scales (2007, neutral): “place (Yoshida et al. 2003; Hairston et al. 2005).”
Eco‐evolutionary dynamics in fragmented landscapes (2017, neutral): “…populations had reduced genetic diversity, lower fitness, faster aging and showed much improved fitness in between-population crosses, all patterns consistent with strong fixation load affecting phenotypic traits in those populations (Walser and Haag 2012, Lohr et al. 2014, Lohr and Haag 2015).”
Invited Review - Fight on Plankton! or, Phytoplankton Shape and Size as Adaptive Tools to Get Ahead in the Struggle for Life (2011, background): “Some changes in defensive traits in the field can be explained by clonal replacement provided with constitutive defenses as conditions change (Yoshida et al., 2003), but there is also a remarkable evidence for phenotypic plasticity.”
Eco‐evolutionary dynamics of communities and ecosystems (2007, background): “Hence clones are separate state variables within populations in multiclonal community models, and evolutionary dynamics result from the ecological dynamics of multiple clones with different fitness values (e.g. Yoshida et al. 2003).”