Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod
Stochastic environments shape life-history traits and can promote selection for risk-spreading strategies, such as bet-hedging. Although the strategy has often been hypothesized to exist for various species, empirical tests providing firm evidence have been rare, mainly due to the challenge in track...
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Online Access: | https://hdl.handle.net/11250/2767797 https://doi.org/10.1111/eva.13251 |
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ftimr:oai:imr.brage.unit.no:11250/2767797 2023-05-15T15:27:16+02:00 Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod Hocevar, Sara Hutchings, Jeffrey Kuparinen, Anna 2021 application/pdf https://hdl.handle.net/11250/2767797 https://doi.org/10.1111/eva.13251 eng eng EC/H2020/770884 Evolutionary Applications. 2021, 1-13. urn:issn:1752-4571 https://hdl.handle.net/11250/2767797 https://doi.org/10.1111/eva.13251 cristin:1923106 1-13 Evolutionary Applications Peer reviewed Journal article 2021 ftimr https://doi.org/10.1111/eva.13251 2021-09-23T20:15:09Z Stochastic environments shape life-history traits and can promote selection for risk-spreading strategies, such as bet-hedging. Although the strategy has often been hypothesized to exist for various species, empirical tests providing firm evidence have been rare, mainly due to the challenge in tracking fitness across generations. Here, we take a ‘proof of principle’ approach to explore whether the reproductive strategy of multiple-batch spawning constitutes a bet-hedging. We used Atlantic cod (Gadus morhua) as the study species and parameterized an eco-evolutionary model, using empirical data on size-related reproductive and survival traits. To evaluate the fitness benefits of multiple-batch spawning (within a single breeding period), the mechanistic model separately simulated multiple-batch and single-batch spawning populations under temporally varying environments. We followed the arithmetic and geometric mean fitness associated with both strategies and quantified the mean changes in fitness under several environmental stochasticity levels. We found that, by spreading the environmental risk among batches, multiple-batch spawning increases fitness under fluctuating environmental conditions. The multiple-batch spawning trait is, thus, advantageous and acts as a bet-hedging strategy when the environment is exceptionally unpredictable. Our research identifies an analytically flexible, stochastic, life-history modelling approach to explore the fitness consequences of a risk-spreading strategy and elucidates the importance of evolutionary applications to life-history diversity. publishedVersion Article in Journal/Newspaper atlantic cod Gadus morhua Institute for Marine Research: Brage IMR Evolutionary Applications 14 8 1980 1992 |
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Institute for Marine Research: Brage IMR |
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English |
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Stochastic environments shape life-history traits and can promote selection for risk-spreading strategies, such as bet-hedging. Although the strategy has often been hypothesized to exist for various species, empirical tests providing firm evidence have been rare, mainly due to the challenge in tracking fitness across generations. Here, we take a ‘proof of principle’ approach to explore whether the reproductive strategy of multiple-batch spawning constitutes a bet-hedging. We used Atlantic cod (Gadus morhua) as the study species and parameterized an eco-evolutionary model, using empirical data on size-related reproductive and survival traits. To evaluate the fitness benefits of multiple-batch spawning (within a single breeding period), the mechanistic model separately simulated multiple-batch and single-batch spawning populations under temporally varying environments. We followed the arithmetic and geometric mean fitness associated with both strategies and quantified the mean changes in fitness under several environmental stochasticity levels. We found that, by spreading the environmental risk among batches, multiple-batch spawning increases fitness under fluctuating environmental conditions. The multiple-batch spawning trait is, thus, advantageous and acts as a bet-hedging strategy when the environment is exceptionally unpredictable. Our research identifies an analytically flexible, stochastic, life-history modelling approach to explore the fitness consequences of a risk-spreading strategy and elucidates the importance of evolutionary applications to life-history diversity. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Hocevar, Sara Hutchings, Jeffrey Kuparinen, Anna |
spellingShingle |
Hocevar, Sara Hutchings, Jeffrey Kuparinen, Anna Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod |
author_facet |
Hocevar, Sara Hutchings, Jeffrey Kuparinen, Anna |
author_sort |
Hocevar, Sara |
title |
Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod |
title_short |
Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod |
title_full |
Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod |
title_fullStr |
Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod |
title_full_unstemmed |
Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod |
title_sort |
multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: an exploratory analysis of atlantic cod |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2767797 https://doi.org/10.1111/eva.13251 |
genre |
atlantic cod Gadus morhua |
genre_facet |
atlantic cod Gadus morhua |
op_source |
1-13 Evolutionary Applications |
op_relation |
EC/H2020/770884 Evolutionary Applications. 2021, 1-13. urn:issn:1752-4571 https://hdl.handle.net/11250/2767797 https://doi.org/10.1111/eva.13251 cristin:1923106 |
op_doi |
https://doi.org/10.1111/eva.13251 |
container_title |
Evolutionary Applications |
container_volume |
14 |
container_issue |
8 |
container_start_page |
1980 |
op_container_end_page |
1992 |
_version_ |
1766357718602350592 |