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Bumblebees Learn to Forage like Bayesians

Published on Sep 1, 2009in The American Naturalist3.85
· DOI :10.1086/603629
Jay M. Biernaskie12
Estimated H-index: 12
(U of T: University of Toronto),
Steven C. Walker10
Estimated H-index: 10
,
Robert J. Gegear22
Estimated H-index: 22
Abstract
Abstract: Bayesian foraging in patchy environments requires that foragers have information about the distribution of resources among patches (prior information), either set by natural selection or learned from past experience. We test the hypothesis that bumblebee foragers can rapidly learn prior information from past experience in two very different experimental environments. In the high‐variance environment (patches of low and high quality), stochastic optimality models predicted that finding rewards should sometimes sharply increase an optimal forager’s tendency to stay in a patch (an incremental response), whereas in the uniform environment, finding rewards should always decrease the tendency to stay (a decremental response). We use Cox regression models to show that, in a matter of hours, bees learned to match both predicted responses, resulting in a reward intake rate that averaged 80% of the predicted maximum. Following training in either environment, bees’ adaptive behavior carried over to a commo...
  • References (33)
  • Citations (65)
References33
Newest
#1Jean Sébastien Pierre (INRA: Institut national de la recherche agronomique)H-Index: 1
#2Richard F. GreenH-Index: 20
#1Diane Lefebvre (École nationale supérieure agronomique de Rennes)H-Index: 3
#2Jacqueline Pierre (École nationale supérieure agronomique de Rennes)H-Index: 3
Last.Jean-Sébastien Pierre (École nationale supérieure agronomique de Rennes)H-Index: 5
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#1Susan F. Bailey (U of C: University of Calgary)H-Index: 9
#2Anna L. Hargreaves (U of C: University of Calgary)H-Index: 14
Last.Jeffrey R. Tindall (U of C: University of Calgary)H-Index: 1
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#1Ola OlssonH-Index: 29
#2Joel S. Brown (UIUC: University of Illinois at Urbana–Champaign)H-Index: 54
#1Lawrence D. Harder (U of C: University of Calgary)H-Index: 46
#2Crispin Y. Jordan (U of C: University of Calgary)H-Index: 10
Last.Matthew B. Routley (U of C: University of Calgary)H-Index: 2
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#1Léa Tison (FU: Free University of Berlin)H-Index: 3
#2Alexander Rößner (FU: Free University of Berlin)H-Index: 2
Last.Randolf Menzel (FU: Free University of Berlin)H-Index: 79
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#1Jacob D. Davidson (MPG: Max Planck Society)H-Index: 5
#2Ahmed El Hady (Princeton University)H-Index: 7
#1Wes Maciejewski (SJSU: San Jose State University)H-Index: 1
#1Bertrand Fouks (UNCG: University of North Carolina at Greensboro)H-Index: 4
#2Kaira M Wagoner (UNCG: University of North Carolina at Greensboro)H-Index: 3
#1Shan Sun (Lanzhou University)H-Index: 6
#2Michael I. Leshowitz (UNCG: University of North Carolina at Greensboro)H-Index: 1
Last.Jan Rychtář (UNCG: University of North Carolina at Greensboro)H-Index: 12
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#1Rubén Torices (UNIL: University of Lausanne)H-Index: 11
#2José M. Gómez (CSIC: Spanish National Research Council)H-Index: 47
Last.John R. Pannell (UNIL: University of Lausanne)H-Index: 8
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#1Cait Newport (University of Oxford)H-Index: 6
#2Guy Wallis (UQ: University of Queensland)H-Index: 27
Last.Ulrike E. Siebeck (UQ: University of Queensland)H-Index: 19
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#1Judy A. Stamps (UC Davis: University of California, Davis)H-Index: 43
#2Peter A. Biro (Deakin University)H-Index: 28
Last.Julia B. Saltz (Rice University)H-Index: 11
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