Literature DB >> 27070010

Varying predator personalities generates contrasting prey communities in an agroecosystem.

Raphaël Royauté, Jonathan N Pruitt.   

Abstract

Most taxa show consistent individual differences in behavior, a phenomenon often referred to as animal "personalities." While the links between individual personality and fitness have received considerable attention, little information is available on how animal personality impacts higher-order ecological processes, such as community dynamics. Using a mesocosm experiment, we subjected a representative community of alfalfa pests to different compositions of personality types of the wolf spider Pardosa milvina. We show that subtle variation in the personality composition of P. milvina populations generate wildly different prey communities, where a mixture of both active and sedentary individuals performs best at suppressing prey abundance. Our results provide the first experimental evidence that predator personality types can generate contrasting prey communities. Moreover, our results suggest that manipulating the representation of predator personality types may be a profitable avenue by which one can maximize the biocontrol potential of predator populations.

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Year:  2015        PMID: 27070010     DOI: 10.1890/14-2424.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  16 in total

1.  Multiple predator effects on juvenile prey survival.

Authors:  M M Palacios; M E Malerba; M I McCormick
Journal:  Oecologia       Date:  2018-06-11       Impact factor: 3.225

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.  Does prey community composition affect the way different behavioral types interact with their environment?

Authors:  Michael A Nannini; David H Wahl
Journal:  Oecologia       Date:  2016-06-22       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.  Climate shapes population variation in dogwhelk predation on foundational mussels.

Authors:  Gina M Contolini; Kerry Reid; Eric P Palkovacs
Journal:  Oecologia       Date:  2020-01-13       Impact factor: 3.225

6.  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

7.  Behavioral Hypervolumes of Predator Groups and Predator-Predator Interactions Shape Prey Survival Rates and Selection on Prey Behavior.

Authors:  Jonathan N Pruitt; Kimberly A Howell; Shaniqua J Gladney; Yusan Yang; James L L Lichtenstein; Michelle Elise Spicer; Sebastian A Echeverri; Noa Pinter-Wollman
Journal:  Am Nat       Date:  2017-01-23       Impact factor: 3.926

8.  The functional syndrome: linking individual trait variability to ecosystem functioning.

Authors:  Allan Raffard; Antoine Lecerf; Julien Cote; Mathieu Buoro; Remy Lassus; Julien Cucherousset
Journal:  Proc Biol Sci       Date:  2017-12-06       Impact factor: 5.349

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

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