Literature DB >> 12691180

Recent advances in our understanding of risk-sensitive foraging preferences.

Melissa Bateson1.   

Abstract

Many experiments have shown that foraging animals are sensitive to the riskiness, or variance, associated with alternative food sources. For example, when offered a choice of a constant feeding option that always offers three seeds, and a risky option that offers either no seeds or six seeds with equal probability, most animals tested will be either risk-averse or risk-prone, preferring either the fixed or variable option respectively. Whether animals are risk-averse or risk-prone appears to depend on a range of factors, including the energetic status of the forager, the type of variance associated with the feeding options and even the number of feeding options between which the animal is choosing. These behavioural phenomena have attracted much theoretical interest, and a range of different explanations have been suggested, some based on a consideration ofthe psychological mechanisms involved in decision making, and others on a consideration of the Darwinian fitness consequences of risk-averse or risk-prone behaviour for the forager. A brief review of the recent literature on risk-sensitive foraging will be presented, focusing on results from the two experimental systems with which I have been involved: wild rufous hummingbirds (Selasphorus rufus) foraging on artificial flowers; European starlings (Sturnus vulgaris) foraging in operant boxes in the laboratory. It will be argued that to understand the foraging decisions of animals account needs to be taken of both the psychological mechanisms underlying decision-making and the fitness consequences of different decisions for the forager.

Entities:  

Mesh:

Year:  2002        PMID: 12691180     DOI: 10.1079/pns2002181

Source DB:  PubMed          Journal:  Proc Nutr Soc        ISSN: 0029-6651            Impact factor:   6.297


  20 in total

1.  Co-regulation of cold-resistant food acquisition by insulin- and neuropeptide Y-like systems in Drosophila melanogaster.

Authors:  P R Lingo; Z Zhao; P Shen
Journal:  Neuroscience       Date:  2007-07-19       Impact factor: 3.590

Review 2.  Innovativeness as an emergent property: a new alignment of comparative and experimental research on animal innovation.

Authors:  Andrea S Griffin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-03-19       Impact factor: 6.237

3.  Nectar sugar composition and volumes of 47 species of Gentianales from a southern Ecuadorian montane forest.

Authors:  Doris Wolff
Journal:  Ann Bot       Date:  2006-02-22       Impact factor: 4.357

4.  Modulation of human risky decision making by flunitrazepam.

Authors:  Scott D Lane; Don R Cherek; Sylvain O Nouvion
Journal:  Psychopharmacology (Berl)       Date:  2007-10-05       Impact factor: 4.530

5.  Serotonin shapes risky decision making in monkeys.

Authors:  Arwen B Long; Cynthia M Kuhn; Michael L Platt
Journal:  Soc Cogn Affect Neurosci       Date:  2009-06-23       Impact factor: 3.436

6.  Neuronal and molecular substrates for optimal foraging in Caenorhabditis elegans.

Authors:  Kate Milward; Karl Emanuel Busch; Robin Joseph Murphy; Mario de Bono; Birgitta Olofsson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-01       Impact factor: 11.205

7.  Patrimony and the evolution of risk-taking.

Authors:  Michael D Stern
Journal:  PLoS One       Date:  2010-07-19       Impact factor: 3.240

8.  Risk-sensitivity in sensorimotor control.

Authors:  Daniel A Braun; Arne J Nagengast; Daniel M Wolpert
Journal:  Front Hum Neurosci       Date:  2011-01-24       Impact factor: 3.169

9.  Carrion crows cannot overcome impulsive choice in a quantitative exchange task.

Authors:  Claudia A F Wascher; Valerie Dufour; Thomas Bugnyar
Journal:  Front Psychol       Date:  2012-04-17

10.  State dependent valuation: the effect of deprivation on risk preferences.

Authors:  Dino J Levy; Amalie C Thavikulwat; Paul W Glimcher
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

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