2016
DOI: 10.1111/oik.03213
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The evolution of optimal emergence times: bet hedging and the quest for an ideal free temporal distribution of individuals

Abstract: Proper timing of activities is one of the principal challenges faced by most organisms. Organisms need to account for various aspects in decision making like avoiding inordinate risks, synchronizing with resource availability, or finding mates. We provide analytical and simulation models to investigate the influence of life expectancy, resource competition and unpredictable environmental conditions (environmental uncertainty) on the evolutionarily stable distribution of emergence times in organisms depending o… Show more

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Cited by 20 publications
(22 citation statements)
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References 47 publications
(55 reference statements)
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“…With the Continuous season model , we relax the assumption of discrete categories of years, and assume continuous variation in the onset of favourable growing conditions (the day from which on favourable growing conditions prevail for the rest of the season). To do so, we extend the model of Poethke et al () and allow for the evolution of both the mean and variance of within‐season emerging timing. Here, a conservative bet hedging strategy is characterised by a late mean within‐season germination date, E¯, which reduces the risk of emerging before the season has switched to offering reliably favourable growing conditions until the season end.…”
Section: Models and Analysismentioning
confidence: 99%
“…With the Continuous season model , we relax the assumption of discrete categories of years, and assume continuous variation in the onset of favourable growing conditions (the day from which on favourable growing conditions prevail for the rest of the season). To do so, we extend the model of Poethke et al () and allow for the evolution of both the mean and variance of within‐season emerging timing. Here, a conservative bet hedging strategy is characterised by a late mean within‐season germination date, E¯, which reduces the risk of emerging before the season has switched to offering reliably favourable growing conditions until the season end.…”
Section: Models and Analysismentioning
confidence: 99%
“…However, plasticity is unlikely to be beneficial in situations in which the cues used by an individual to induce plastic changes are no longer predictive of future environmental conditions (McNamara et al 2016). Such scenarios should instead lead to the development of bet-hedging strategies, but these may be slow to evolve in all but the most dramatically unpredictable and resource-limited environments (Poethke et al 2016). Similarly, only the introduction of novel genetic variation may be able to adaptively resolve situations in which two antagonistic traits are experiencing directional selection in opposing directions (Careau et al 2015), suggesting that evolutionary responses to the contrasting selection pressures imposed by asynchronous regimes may be especially slow.…”
Section: The Effects Of Asynchronous Climate Change Regimesmentioning
confidence: 99%
“…As the season progresses the number of emerged bees increases, and also if a large number of bees emerge simultaneously, intra-specific competition for mating partners (in the case of males) and inter- and intra-specific competition for nesting sites (in the case of females) are increasing. Individuals emerging earlier may thus gain fitness benefits ( Poethke, Hovestadt & Mitesser, 2016 ). Choosing the right moment for emergence may therefore require balancing these different risks and benefits.…”
Section: Introductionmentioning
confidence: 99%
“…However, solitary bees show considerable variability in emergence dates even if they overwinter at the same location with the same overwintering temperature ( Westrich, 2011 ). To our knowledge, the mechanisms and causes underlying this variation cannot be explained with certainty, but the speculation is a (maternal) bet-hedging strategy, which can be expected to pay off in environments with unpredictable environmental variability ( Danforth, 1999 ; Hopper, 1999 ; Childs, Metcalf & Rees, 2010 ; Poethke, Hovestadt & Mitesser, 2016 ). Our study tries to clarify the ultimate and proximate causes of this high variability in emergence dates of solitary bees.…”
Section: Introductionmentioning
confidence: 99%