Literature DB >> 11522196

Separating the effects of predation risk and interrupted foraging upon mass changes in the blue tit Parus caeruleus.

S A Rands1, I C Cuthill.   

Abstract

The optimal amount of reserves that a small bird should carry depends upon a number of factors, including the availability of food and environmental predation risk levels. Theory predicts that, if predation risk increases, then a bird should maintain a lower level of reserves. Previous experiments have given mixed results: some have shown reduced reserves and some, increased reserves. However, the birds in these studies may have been interpreting a staged predation event as a period when they were unable to feed rather than a change in predation risk: theory predicts that, if the food supply within the environment is variable, then reserves should be increased. In the present study, we presented blue tits (Parus caeruleus) with a potential predator and compared this response (which could have been potentially confounded by perceived interruption effects) with a response to an actual interruption in the environment during both long and short daytime lengths. During long (but not short) days, the birds responded in line with theoretical predictions by increasing their reserves in response to interruption and reducing them in response to predation. These results are examined in the light of other experimental manipulations and we discuss how well experimental tests have tested the predictions made by theoretical models.

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Year:  2001        PMID: 11522196      PMCID: PMC1088809          DOI: 10.1098/rspb.2001.1653

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  10 in total

1.  State-dependent foraging rules for social animals in selfish herds.

Authors:  Sean A Rands; Richard A Pettifor; J Marcus Rowcliffe; Guy Cowlishaw
Journal:  Proc Biol Sci       Date:  2004-12-22       Impact factor: 5.349

2.  A theoretical investigation of the effect of predators on foraging behaviour and energy reserves.

Authors:  John M McNamara; Zoltan Barta; Alasdair I Houston; Philip Race
Journal:  Proc Biol Sci       Date:  2005-05-07       Impact factor: 5.349

3.  Having it all: historical energy intakes do not generate the anticipated trade-offs in fecundity.

Authors:  S L Johnston; T Grune; L M Bell; S J Murray; D M Souter; S S Erwin; J M Yearsley; I J Gordon; A W Illius; I Kyriazakis; J R Speakman
Journal:  Proc Biol Sci       Date:  2006-06-07       Impact factor: 5.349

Review 4.  Theoretical models of adaptive energy management in small wintering birds.

Authors:  Anders Brodin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-10-29       Impact factor: 6.237

5.  Torpor reduces predation risk by compensating for the energetic cost of antipredator foraging behaviours.

Authors:  Christopher Turbill; Lisa Stojanovski
Journal:  Proc Biol Sci       Date:  2018-12-19       Impact factor: 5.349

6.  Mobbing and sitting tight at the nest as methods of avoiding brood parasitism.

Authors:  Sean A Rands
Journal:  Interface Focus       Date:  2012-01-18       Impact factor: 3.906

7.  Evidence of the trade-off between starvation and predation risks in ducks.

Authors:  Cédric Zimmer; Mathieu Boos; Nicolas Poulin; Andrew Gosler; Odile Petit; Jean-Patrice Robin
Journal:  PLoS One       Date:  2011-07-18       Impact factor: 3.240

8.  Explaining individual variation in patterns of mass loss in breeding birds.

Authors:  Sean A Rands; Innes C Cuthill; Alasdair I Houston
Journal:  Theor Biol Med Model       Date:  2006-05-16       Impact factor: 2.432

9.  Statistical measures for defining an individual's degree of independence within state-dependent dynamic games.

Authors:  Sean A Rands; Rufus A Johnstone
Journal:  BMC Evol Biol       Date:  2006-10-12       Impact factor: 3.260

10.  The emergence of leaders and followers in foraging pairs when the qualities of individuals differ.

Authors:  Sean A Rands; Guy Cowlishaw; Richard A Pettifor; J Marcus Rowcliffe; Rufus A Johnstone
Journal:  BMC Evol Biol       Date:  2008-02-18       Impact factor: 3.260

  10 in total

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