Ecological consequences of phenotypic plasticity.

By Benjamin G. Miner, S. Sultan, S. Morgan, D. Padilla, Rick A. Relyea. Trends in Ecology & Evolution, 2005

911 citations recorded by the source corpus.

Phenotypic plasticity is widespread in nature, and often involves ecologically relevant behavioral, physiological, morphological and life-historical traits. As a result, plasticity alters numerous interactions between organisms and their abiotic and biotic environments. Although much work on plasticity has focused on its patterns of expression and evolution, researchers are increasingly interested in understanding how plasticity can affect ecological patterns and processes at various levels. Here, we highlight an expanding body of work that examines how plasticity can affect all levels of ecological organization through effects on demographic parameters, direct and indirect species interactions, such as competition, predation, and coexistence, and ultimately carbon and nutrient cycles.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/8361c2803bc242373fb6e93ac86031e86cc4cfc0

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Citations in the corpus

Daphnia as an emerging model for toxicological genomics (2008, background): “The importance of understanding the genetic basis of interactions between genotype and environment is reflected in a renewed interest in phenotypic plasticity and its relationship to adaptive evolution (Miner et al., 2005; Pigliucci, 2005; West-Eberhard, 2003).”
The evolutionary ecology of individual phenotypic plasticity in wild populations (2007, background): “It is also important to investigate these cases if we are to fully understand the evolutionary and ecological basis of phenotypic variation across environments (Miner et al., 2005; Pigliucci, 2005, Postma & van Noordwijk, 2005).”
Functional Traits and Trait-Mediated Interactions: Connecting Community-Level Interactions with Ecosystem Functioning (2015, background): “Nevertheless, potentially explaining variation in the nature and strength of species interactions using principles from evolutionary ecology is a useful starting point that can help to identify generalities (Agrawal, 2001; Berg and Ellers, 2010; Miner et al., 2005; Schmitz et al., 2008).”
Phenotypic plasticity blurs ecotypic divergence in the response of Quercus coccifera and Pinus halepensis to water stress (2008, background): “The ability of a plant to acclimate to diVerent environments is, in general, genetically determined (Donohue et al. 2005; Lin and Hsu 2004; Miner et al. 2005; Ronsheim and Bever 2000; Schlichting and Pigliucci 1998; Sultan 2000).”
Herbivore‐induced indirect interaction webs on terrestrial plants: the importance of non‐trophic, indirect, and facilitative interactions (2008, background): “Recent reviews have emphasized the importance of linking phenotypic plasticity and/or trait evolution with the organization of the ecological community in order to bridge the large gap between evolutionary biology and community ecology (Miner et al., 2005; Fordyce, 2006; Johnson & Stinchcombe, 2007)”
A statistical framework to explore ontogenetic growth variation among individuals and populations: a marine fish example (2015, background): “This in turn aids ecological and evolutionary interpretation of historical growth patterns and facilitates more accurate prediction of biological responses to future environmental change (Miner et al. 2005, Nussey et al. 2007).”
Evolutionary ecology of inducible morphological plasticity in predator–prey interaction: toward the practical links with population ecology (2009, background): “2004), but the connection between morphological plasticity and these indirect effects has not been adequately studied (Miner et al. 2005).”
Ecological limits to plant phenotypic plasticity. (2007, background): “, 2006; Roberts & Paul, 2006), the herbivore-induced constraints on plant phenotypic plasticity to abiotic factors have not been evaluated in detail (Miner et al., 2005).”
Trait plasticity in species interactions: a driving force of community dynamics (2010, methodology): “The relative simple approach of pair-wise comparisons yields accurate qualitative predictions on the outcome of mesocosm experiments (Agrawal 2001; Relyea and Yurewicz 2002; Miner et al. 2005), but it may not be that simple to scale it up to communities.”