Literature DB >> 22309288

Spatial variation in egg size and egg number reflects trade-offs and bet-hedging in a freshwater fish.

John R Morrongiello1, Nicholas R Bond, David A Crook, Bob B M Wong.   

Abstract

1. Maternal reproductive investment is thought to reflect a trade-off between offspring size and fecundity, and models generally predict that mothers inhabiting adverse environments will produce fewer, larger offspring. More recently, the importance of environmental unpredictability in influencing maternal investment has been considered, with some models predicting that mothers should adopt a diversified bet-hedging strategy whilst others a conservative bet-hedging strategy. 2. We explore spatial egg size and fecundity patterns in the freshwater fish southern pygmy perch (Nannoperca australis) that inhabits a diversity of streams along gradients of environmental quality, variability and predictability. 3. Contrary to some predictions, N. australis populations inhabiting increasingly harsh streams produced more numerous and smaller eggs. Furthermore, within-female egg size variability increased as environments became more unpredictable. 4. We argue that in harsh environments or those prone to physical disturbance, sources of mortality are size independent with offspring size having only a minor influence on offspring fitness. Instead, maternal fitness is maximized by producing many small eggs, increasing the likelihood that some offspring will disperse to permanent water. We also provide empirical support for diversified bet-hedging as an adaptive strategy when future environmental quality is uncertain and suggest egg size may be a more appropriate fitness measure in stable environments characterized by size-dependent fitness. These results likely reflect spatial patterns of adaptive plasticity and bet-hedging in response to both predictable and unpredictable environmental variance and highlight the importance of considering both trait averages and variance. 5. Reproductive life-history traits can vary predictably along environmental gradients. Human activity, such as the hydrological modification of natural flow regimes, alters the form and magnitude of these gradients, and this can have both ecological and evolutionary implications for biota adapted to now non-existent natural environmental heterogeneity.
© 2012 The Authors. Journal of Animal Ecology © 2012 British Ecological Society.

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Year:  2012        PMID: 22309288     DOI: 10.1111/j.1365-2656.2012.01961.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  16 in total

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4.  The mean and variance of climate change in the oceans: hidden evolutionary potential under stochastic environmental variability in marine sticklebacks.

Authors:  Lisa N S Shama
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

5.  The evolution of different maternal investment strategies in two closely related desert vertebrates.

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Journal:  Ecol Evol       Date:  2017-03-31       Impact factor: 2.912

6.  Egg Production Constrains Chemical Defenses in a Neotropical Arachnid.

Authors:  Taís M Nazareth; Glauco Machado
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

7.  Intraspecific variation in the growth and survival of juvenile fish exposed to Eucalyptus leachate.

Authors:  John R Morrongiello; Nicholas R Bond; David A Crook; Bob B M Wong
Journal:  Ecol Evol       Date:  2013-09-12       Impact factor: 2.912

8.  Strategies of offspring investment and dispersal in a spatially structured environment: a theoretical study using ants.

Authors:  Adam L Cronin; Nicolas Loeuille; Thibaud Monnin
Journal:  BMC Ecol       Date:  2016-02-05       Impact factor: 2.964

9.  Maternal response to environmental unpredictability.

Authors:  Miguel Barbosa; Isabel Lopes; Catia Venâncio; Maria João Janeiro; Michael Blair Morrisey; Amadeu M V M Soares
Journal:  Ecol Evol       Date:  2015-10-05       Impact factor: 2.912

10.  Female fecundity traits in wild populations of African annual fish: the role of the aridity gradient.

Authors:  Milan Vrtílek; Martin Reichard
Journal:  Ecol Evol       Date:  2016-07-25       Impact factor: 2.912

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