JOURNAL ARTICLE

Evidence for adaptive strategies in larval capelin on the northeastern coast of Newfoundland, Canada.

  • Published In: Journal of Plankton Research, 2024, v. 46, n. 2. P. 126 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Tripp, Ashley; Murphy, Hannah M; Davoren, Gail K 3 of 3

Abstract

This article investigates adaptive reproductive strategies in capelin (Mallotus villosus), a forage fish species in coastal Newfoundland, focusing on whether larvae time hatching to match favorable environmental conditions ("match/mismatch") or use bet-hedging by extending spawning to disperse risk. From 2018 to 2021, larval densities were positively associated with zooplankton prey biomass but showed no relationship with predator biomass or temperature, providing limited support for the match/mismatch hypothesis and no support for the Coastal Water Mass Replacement (CWMR) hypothesis. High variability in larval emergence timing and traits supports a bet-hedging strategy, while larval condition varied more between years than between intertidal and subtidal spawning habitats, suggesting that annual environmental factors have a greater influence on larval condition and potential recruitment than spawning habitat shifts. The findings imply that climate-driven shifts toward subtidal spawning may have limited immediate impact on stock recovery, but years with poor larval condition, such as 2018, may contribute to the continued collapse of the Newfoundland capelin stock.

Additional Information

  • Source:Journal of Plankton Research. 2024/03, Vol. 46, Issue 2, p126
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2024
  • ISSN:0142-7873
  • DOI:10.1093/plankt/fbad052
  • Accession Number:176395249
  • Copyright Statement:Copyright of Journal of Plankton Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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