Literature DB >> 23935257

Predator and prey activity levels jointly influence the outcome of long-term foraging bouts.

Kayla Sweeney1, Brian Cusack, Fawn Armagost, Timothy O'Brien, Carl N Keiser, Jonathan N Pruitt.   

Abstract

Consistent interindividual differences in behavior (i.e., "behavioral types") may be a key factor in determining the outcome of species interactions. Studies that simultaneously account for the behavioral types of individuals in multiple interacting species, such as predator-prey systems, may be particularly strong predictors of ecological outcomes. Here, we test the predator-prey locomotor crossover hypothesis, which predicts that active predators are more likely to encounter and consume prey with the opposing locomotor tendency. We test this hypothesis using intraspecific behavioral variation in both a predator and prey species as predictors of foraging outcomes. We use the old field jumping spider, Phidippus clarus (Araneae, Salticidae), and the house cricket, Acheta domesticus (Orthoptera, Gryllidae), as a model predator-prey system in laboratory mesocosm trials. Stable individual differences in locomotor tendencies were identified in both P. clarus and A. domesticus, and the outcome of foraging bouts depended neither on the average activity level of the predator nor on the average activity level of prey. Instead, an interaction between the activity level of spiders and crickets predicted spider foraging success and prey survivorship. Consistent with the locomotor crossover hypothesis, predators exhibiting higher activity levels consumed more prey when in an environment containing low-activity prey items and vice versa. This study highlights 1) the importance of intraspecific variation in determining the outcome of predator-prey interactions and 2) that acknowledging behavioral variation in only a single species may be insufficient to characterize the performance consequences of intraspecific trait variants.

Entities:  

Keywords:  behavioral syndrome; foraging mode; intraspecific variation; personality; predator–prey interaction.

Year:  2013        PMID: 23935257      PMCID: PMC3739417          DOI: 10.1093/beheco/art052

Source DB:  PubMed          Journal:  Behav Ecol        ISSN: 1045-2249            Impact factor:   2.671


  25 in total

Review 1.  From mice to men: what can we learn about personality from animal research?

Authors:  S D Gosling
Journal:  Psychol Bull       Date:  2001-01       Impact factor: 17.737

Review 2.  Do consistent individual differences in metabolic rate promote consistent individual differences in behavior?

Authors:  Peter A Biro; Judy A Stamps
Journal:  Trends Ecol Evol       Date:  2010-09-15       Impact factor: 17.712

3.  Predators select against high growth rates and risk-taking behaviour in domestic trout populations.

Authors:  Peter A Biro; Mark V Abrahams; John R Post; Eric A Parkinson
Journal:  Proc Biol Sci       Date:  2004-11-07       Impact factor: 5.349

4.  Behavioral syndromes: an ecological and evolutionary overview.

Authors:  Andrew Sih; Alison Bell; J Chadwick Johnson
Journal:  Trends Ecol Evol       Date:  2004-07       Impact factor: 17.712

Review 5.  Integrating animal temperament within ecology and evolution.

Authors:  Denis Réale; Simon M Reader; Daniel Sol; Peter T McDougall; Niels J Dingemanse
Journal:  Biol Rev Camb Philos Soc       Date:  2007-05

6.  Food limitation leads to behavioral diversification and dietary specialization in sea otters.

Authors:  M Tim Tinker; Gena Bentall; James A Estes
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-14       Impact factor: 11.205

7.  How movement properties affect prey encounter rates of ambush versus active predators: a comment on Scharf et al.

Authors:  Tal Avgar; Nir Horvitz; Luba Broitman; Ran Nathan
Journal:  Am Nat       Date:  2008-10       Impact factor: 3.926

Review 8.  The development of animal personality: relevance, concepts and perspectives.

Authors:  Judy Stamps; Ton G G Groothuis
Journal:  Biol Rev Camb Philos Soc       Date:  2009-11-24

9.  The community effects of phenotypic and genetic variation within a predator population.

Authors:  Sebastian J Schreiber; Reinhard Bürger; Daniel I Bolnick
Journal:  Ecology       Date:  2011-08       Impact factor: 5.499

10.  Are fast explorers slow reactors? Linking personality type and anti-predator behaviour.

Authors:  Katherine A Jones; Jean-Guy J Godin
Journal:  Proc Biol Sci       Date:  2009-10-28       Impact factor: 5.349

View more
  14 in total

1.  Behavioural hypervolumes of spider communities predict community performance and disbandment.

Authors:  Jonathan N Pruitt
Journal:  Proc Biol Sci       Date:  2016-12-14       Impact factor: 5.349

2.  Habitat structure changes the relationships between predator behavior, prey behavior, and prey survival rates.

Authors:  James L L Lichtenstein; Karis A Daniel; Joanna B Wong; Colin M Wright; Grant Navid Doering; Raul Costa-Pereira; Jonathan N Pruitt
Journal:  Oecologia       Date:  2019-02-01       Impact factor: 3.225

3.  Partitioning the non-consumptive effects of predators on prey with complex life histories.

Authors:  Jon M Davenport; Blake R Hossack; Winsor H Lowe
Journal:  Oecologia       Date:  2014-06-26       Impact factor: 3.225

Review 4.  Personality, foraging behavior and specialization: integrating behavioral and food web ecology at the individual level.

Authors:  Benjamin J Toscano; Natasha J Gownaris; Sarah M Heerhartz; Cristián J Monaco
Journal:  Oecologia       Date:  2016-05-11       Impact factor: 3.225

5.  My niche: individual spatial niche specialization affects within- and between-species interactions.

Authors:  Annika Schirmer; Julia Hoffmann; Jana A Eccard; Melanie Dammhahn
Journal:  Proc Biol Sci       Date:  2020-01-15       Impact factor: 5.349

6.  Behavioral variation post-invasion: Resemblance in some, but not all, behavioral patterns among invasive and native praying mantids.

Authors:  Cameron Jones; Nicolas DiRienzo
Journal:  Behav Processes       Date:  2018-05-23       Impact factor: 1.777

7.  The multidimensional behavioural hypervolumes of two interacting species predict their space use and survival.

Authors:  James L L Lichtenstein; Colin M Wright; Brendan McEwen; Noa Pinter-Wollman; Jonathan N Pruitt
Journal:  Anim Behav       Date:  2017-09-05       Impact factor: 2.844

8.  Nestling activity levels during begging behaviour predicts activity level and body mass in adulthood.

Authors:  Luke S C McCowan; Simon C Griffith
Journal:  PeerJ       Date:  2014-09-16       Impact factor: 2.984

9.  Predator personality and prey behavioural predictability jointly determine foraging performance.

Authors:  Chia-Chen Chang; Huey Yee Teo; Y Norma-Rashid; Daiqin Li
Journal:  Sci Rep       Date:  2017-01-17       Impact factor: 4.379

10.  Intraindividual Behavioral Variability Predicts Foraging Outcome in a Beach-dwelling Jumping Spider.

Authors:  James L L Lichtenstein; Gregory T Chism; Ambika Kamath; Jonathan N Pruitt
Journal:  Sci Rep       Date:  2017-12-22       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.