Literature DB >> 24385084

Mass gained during breeding positively correlates with adult survival because both reflect life history adaptation to seasonal food availability.

Daniel T C Cox1, Will Cresswell.   

Abstract

Both mass (as a measure of body reserves) during breeding and adult survival should reflect variation in food availability. Those species that are adapted to less seasonally variable foraging niches and so where competition dominates during breeding, will tend to have a higher mass increase via an interrupted foraging response, because their foraging demands increase and so become more unpredictable. They will then produce few offspring per breeding attempt, but trade this off with higher adult survival. In contrast, those species that occupy a more seasonal niche will not gain mass because foraging remains predictable, as resources become superabundant during breeding. They can also produce more offspring per breeding attempt, but with a trade-off with reduced adult survival. We tested whether the then predicted positive correlation between levels of mass gained during seasonal breeding and adult survival was present across 40 species of tropical bird measured over a 10-year period in a West African savannah. We showed that species with a greater seasonal mass increase had higher adult survival, controlling for annual mass variation (i.e. annual variation in absolute food availability) and variation in the timing of peak mass (i.e. annual predictability of food availability), clutch size, body size, migratory status and phylogeny. Our results support the hypothesis that the degree of seasonal mass variation in birds is probably an indication of life history adaptation: across tropical bird species it may therefore be possible to use mass gain during breeding as an index of adult survival.

Mesh:

Year:  2014        PMID: 24385084     DOI: 10.1007/s00442-013-2859-5

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  9 in total

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Authors:  C K Ghalambor; T E Martin
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Authors:  S Markman; B Pinshow; J Wright
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3.  A theoretical investigation of the effect of latitude on avian life histories.

Authors:  John M McNamara; Zoltán Barta; Martin Wikelski; Alasdair I Houston
Journal:  Am Nat       Date:  2008-09       Impact factor: 3.926

4.  Mass regulation in response to predation risk can indicate population declines.

Authors:  Ross MacLeod; Johan Lind; Jacquie Clark; Will Cresswell
Journal:  Ecol Lett       Date:  2007-10       Impact factor: 9.492

5.  Evolution of avian clutch size along latitudinal gradients: do seasonality, nest predation or breeding season length matter?

Authors:  E M Griebeler; T Caprano; K Böhning-Gaese
Journal:  J Evol Biol       Date:  2010-02-23       Impact factor: 2.411

6.  Pattern of covariation between life-history traits of European birds.

Authors:  B E Saether
Journal:  Nature       Date:  1988-02-18       Impact factor: 49.962

7.  The ecological costs of avian fat storage.

Authors:  M S Witter; I C Cuthill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1993-04-29       Impact factor: 6.237

8.  Effects of season, water and predation risk on patch use by birds on the African savannah.

Authors:  Mary Ngozi Molokwu; Jan-Ake Nilsson; Ulf Ottosson; Ola Olsson
Journal:  Oecologia       Date:  2010-09-24       Impact factor: 3.225

9.  How climate change might influence the starvation-predation risk trade-off response.

Authors:  W Cresswell; J A Clark; R Macleod
Journal:  Proc Biol Sci       Date:  2009-07-22       Impact factor: 5.349

  9 in total
  2 in total

1.  Hot temperatures during the dry season reduce survival of a resident tropical bird.

Authors:  Bradley K Woodworth; D Ryan Norris; Brendan A Graham; Zachary A Kahn; Daniel J Mennill
Journal:  Proc Biol Sci       Date:  2018-05-16       Impact factor: 5.349

2.  Seasonal variation in microhabitat of salamanders: environmental variation or shift of habitat selection?

Authors:  Enrico Lunghi; Raoul Manenti; Gentile Francesco Ficetola
Journal:  PeerJ       Date:  2015-08-13       Impact factor: 2.984

  2 in total

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