Literature DB >> 17922146

Detecting small environmental differences: risk-response curves for predator-induced behavior and morphology.

Nancy M Schoeppner1, Rick A Relyea.   

Abstract

Most organisms possess traits that are sensitive to changes in the environment (i.e., plastic traits) which results in the expression of environmentally induced polymorphisms. While most phenotypically plastic traits have traditionally been treated as threshold switches between induced and uninduced states, there is growing evidence that many traits can respond in a continuous fashion. In this experiment we exposed larval anurans (wood frog tadpoles, Rana sylvatica) to an increasing gradient of predation risk to determine how organisms respond to small environmental changes. We manipulated predation risk in two ways: by altering the amount of prey consumed by a constant number of predators (Dytiscus sp.) and by altering the number of predators that consume a constant amount of prey. We then quantified the expression of predator-induced behavior, morphology, and mass to determine the level of risk that induced each trait, the level of risk that induced the maximal phenotypic response for each trait, whether the different traits exhibited a plateauing response, and whether increasing risk via increasing predator number or via increasing prey consumption induced similar phenotypic changes. We found that all of the traits exhibited fine-tuned, graded responses and most of them exhibited a plateauing response with increased predation risk, suggesting either a limit to plasticity or the reflection of high costs of the defensive phenotype. For many traits, a large proportion of the maximum induction occurred at low levels of risk, suggesting that the chemical cues of predation are effective at extremely low concentrations. In contrast to earlier work, we found that behavioral and morphological responses to increased predator number were simply a response to increased total prey consumption. These results have important implications for models of plasticity evolution, models of optimal phenotypic design, expectations for how organisms respond to fine-grained changes (i.e., within generation) in their environment, and impacts on ecological communities via trait-mediated indirect effects.

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Year:  2007        PMID: 17922146     DOI: 10.1007/s00442-007-0862-4

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  26 in total

1.  Ecological consequences of the trade-off between growth and mortality rates mediated by foraging activity.

Authors:  E E Werner; B R Anholt
Journal:  Am Nat       Date:  1993-08       Impact factor: 3.926

2.  A diet-induced developmental polymorphism in a caterpillar.

Authors:  E Greene
Journal:  Science       Date:  1989-02-03       Impact factor: 47.728

3.  Damage, digestion, and defence: the roles of alarm cues and kairomones for inducing prey defences.

Authors:  Nancy M Schoeppner; Rick A Relyea
Journal:  Ecol Lett       Date:  2005-05       Impact factor: 9.492

4.  Predator identity and consumer behavior: differential effects of fish and crayfish on the habitat use of a freshwater snail.

Authors:  Andrew M Turner; Shelley A Fetterolf; Randall J Bernot
Journal:  Oecologia       Date:  1999-02       Impact factor: 3.225

5.  A STUDY OF REACTION NORMS IN NATURAL POPULATIONS OF DROSOPHILA PSEUDOOBSCURA.

Authors:  Anand P Gupta; R C Lewontin
Journal:  Evolution       Date:  1982-09       Impact factor: 3.694

6.  PHENOTYPIC PLASTICITY IN POLYGONUM PERSICARIA. I. DIVERSITY AND UNIFORMITY IN GENOTYPIC NORMS OF REACTION TO LIGHT.

Authors:  S E Sultan; F A Bazzaz
Journal:  Evolution       Date:  1993-08       Impact factor: 3.694

7.  COSTS AND BENEFITS OF A PREDATOR-INDUCED POLYPHENISM IN THE GRAY TREEFROG HYLA CHRYSOSCELIS.

Authors:  S Andy McCollum; Josh Van Buskirk
Journal:  Evolution       Date:  1996-04       Impact factor: 3.694

8.  NATURAL SELECTION FOR ENVIRONMENTALLY INDUCED PHENOTYPES IN TADPOLES.

Authors:  Josh Van Buskirk; S Andy McCollum; Earl E Werner
Journal:  Evolution       Date:  1997-12       Impact factor: 3.694

9.  Predator-mediated plasticity in morphology, life history, and behavior of Daphnia: the uncoupling of responses.

Authors:  M Boersma; P Spaak; L De Meester
Journal:  Am Nat       Date:  1998-08       Impact factor: 3.926

10.  Costs of phenotypic plasticity.

Authors:  Rick A Relyea
Journal:  Am Nat       Date:  2002-03       Impact factor: 3.926

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  5 in total

1.  Dissecting the smell of fear from conspecific and heterospecific prey: investigating the processes that induce anti-predator defenses.

Authors:  Heather M Shaffery; Rick A Relyea
Journal:  Oecologia       Date:  2015-09-12       Impact factor: 3.225

2.  Conspecific density modulates the effect of predation on dispersal rates.

Authors:  Edd Hammill; Richard G Fitzjohn; Diane S Srivastava
Journal:  Oecologia       Date:  2015-03-29       Impact factor: 3.225

3.  The relative importance of prey-borne and predator-borne chemical cues for inducible antipredator responses in tadpoles.

Authors:  Attila Hettyey; Zoltán Tóth; Kerstin E Thonhauser; Joachim G Frommen; Dustin J Penn; Josh Van Buskirk
Journal:  Oecologia       Date:  2015-07-11       Impact factor: 3.225

4.  Predator biomass determines the magnitude of non-consumptive effects (NCEs) in both laboratory and field environments.

Authors:  Jennifer M Hill; Marc J Weissburg
Journal:  Oecologia       Date:  2012-12-19       Impact factor: 3.225

5.  Phylogenetic patterns of trait and trait plasticity evolution: Insights from amphibian embryos.

Authors:  Rick A Relyea; Patrick R Stephens; Lisa N Barrow; Andrew R Blaustein; Paul W Bradley; Julia C Buck; Ann Chang; James P Collins; Brian Crother; Julia Earl; Stephanie S Gervasi; Jason T Hoverman; Oliver Hyman; Emily Moriarty Lemmon; Thomas M Luhring; Moses Michelson; Chris Murray; Steven Price; Raymond D Semlitsch; Andrew Sih; Aaron B Stoler; Nick VandenBroek; Alexa Warwick; Greta Wengert; John I Hammond
Journal:  Evolution       Date:  2018-02-16       Impact factor: 3.694

  5 in total

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