Plastic inducible morphologies are not always adaptive: The importance of time delays in a stochastic environment

By D. Padilla, S. Adolph. Evolutionary Ecology, 2005

233 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ac6dd615a03473babd8c18d7adb9a9207c92b7d4

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In Ecology

1. Andrew Sih
2. A. Bell
3. C. Correa
4. C. Harvell
5. Daniel Berner
6. A. Hendry
7. P. Diggle
8. G. Trussell

In Global and Planetary Change

1. A. Bell
2. Andrew Sih
3. C. Harvell
4. O. Kishida
5. A. Hendry
6. Kinya Nishimura
7. P. Diggle
8. G. Trussell

In Sociology and Political Science

1. A. Hendry
2. Andrew Sih
3. P. Diggle
4. A. Bell
5. T. Givnish
6. J. DiBattista

Citations in the corpus

• The relative advantages of plasticity and fixity in different environments: when is it good for a plant to adjust? (2002, unknown): “Plasticity is expected to be advantageous only in a trait that responds quickly relative to the duration of environmental states (Levins, 1968; Watson, 1990; Oborny, 1994; Padilla and Adolph, 1996; Cipollini, 1998; DeWitt et al., 1998).”
• A developmental morphologist's perspective on plasticity (2002, background): “Theoretical models (Padilla and Adolph, 1996) show that lag-times can constrain the evolution of plasticity even when there is no cost to plasticity.”
• The evolution of phenotypic plasticity in response to anthropogenic disturbance (2010, background): “First, some traits might respond more rapidly, meaning that the time lag between sensing an environmental cue and the resulting phenotypic response is shorter (Padilla and Adolph, 1996; Gabriel et al., 2005; Stomp et al., 2008).”
• Behavioral syndromes: an ecological and evolutionary overview. (2004, background): “onreactionnorms[50,65, 66 ]canthusprovidepreliminaryinsightsin”
• The SIS epidemic model with Markovian switching (2012, background): “As examples Padilla and Adolph [32] present a mathematical model for predicting the expected fitness of phenotypically plastic organisms experiencing a variable environment and discuss the importance of time delays in this model, and Anderson [1] discusses the optimal exploitation strategies for an ”
• Phenotypic flexibility and the evolution of organismal design (2003, unknown): “The accuracy with which future environmental conditions can be predicted could determine the kind of phenotypic plasticity that one might expect to evolve [25,48,49].”
• Evolutionary ecology of inducible morphological plasticity in predator–prey interaction: toward the practical links with population ecology (2009, background): “The effects of reversibility on population dynamics likely depend on the quickness of the response (Padilla and Adolph 1996), the frequency of environmental change, and the balance between the”
• Understanding variation in behavioural responses to human-induced rapid environmental change: a conceptual overview (2013, background): “However, evenwith reversible plasticity, as with most behaviours, if cues are unreliable, this reduces the optimal plasticity (Padilla & Adolph 1996; Gabriel et al. 2005).”
• Coral Resistance to Disease (2004, background): “Adolph and Padilla (1996) highlight long lag times as a significant constraint in the evolution of inducible resistance.”
• Ecological constraints on the evolution of plasticity in plants (2002, background): “When the environment varies only through time, not space, genotypes that produce adaptive patterns of plasticity should be strongly favored, provided that the resulting variation in phenotypes can track (or, better yet, anticipate) temporal variation in the environment closely enough to yield a net ”