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Aridity promotes bet hedging via delayed hatching: a case study with two temporary pond crustaceans along a
Tom Pinceel1,2, Bram Vanschoenwinkel3, Wouter Hawinkel4
1Laboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Charles Deberiotstraat 32, 3000, Louvain, Belgium. tom.pinceel@bio.kuleuven.be.
Oecologia
|March 26, 2017
Summary
Climate change impacts temporary water habitats. Organisms use delayed hatching as a bet-hedging strategy, with less hatching in drier climates to ensure survival.
Area of Science:
- Ecology
- Evolutionary Biology
- Climate Change Biology
Background:
- Climate change alters rainfall patterns, affecting temporary aquatic environments and organism reproduction.
- Organisms in temporary waters rely on rainfall and evaporation for their life cycles.
- Bet hedging theory predicts that organisms with dormant stages should delay hatching to survive unpredictable environments.
Purpose of the Study:
- To investigate geographic variation in delayed hatching of dormant eggs in two temporary rock pool crustaceans.
- To test bet hedging predictions in natural populations along an aridity gradient.
- To understand how climate variation influences reproductive strategies in aquatic organisms.
Main Methods:
- Studied natural populations of Branchinella longirostris and Paralimnadia badia along a 725 km latitudinal aridity gradient in Western Australia.
- Assessed delayed hatching of dormant eggs under common garden conditions.
- Correlated hatching fractions with aridity and reproductive success probability.
Main Results:
- Populations of both species exhibited delayed hatching, supporting bet hedging theory.
- Hatching fractions decreased towards the drier end of the aridity gradient.
- The species with longer maturation times showed a more pronounced decrease in hatching, indicating higher sensitivity to short inundations.
Conclusions:
- Regional climate variation drives differential investment in bet hedging strategies.
- Delayed hatching is crucial for persistence in harsher, arid climates.
- These strategies are vital for predicting organismal vulnerability to ongoing climate change.
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