Canales, T. Mariella, Delius, Gustav W orcid.org/0000-0003-4092-8228 and Law, Richard orcid.org/0000-0002-5550-3567 (2020) Regulation of fish stocks without stock-recruitment relationships:the case of small pelagic fish. Fish and fisheries. pp. 857-871. ISSN 1467-2960
Abstract
Small pelagic fish lack clear stock-recruitment relationships. This is a problem because such relationships are taken to be the primary descriptors of density dependence, responsible for regulating population density. In this paper, we show that small pelagic fish species, anchovy (Engraulis spp, Engraulidae), living in a stochastic environment, can be strongly regulated without a stock-recruitment relationship emerging. This is done through numerical analysis of a size-spectrum model, in which fish grow by eating and die in part from being eaten, with the result that birth, growth and death are all density dependent. The model includes cannibalism, and growth-dependent larval mortality, both of which have been suggested as regulatory mechanisms in anchovy, together with growth and reproduction later in life. Despite the lack of a clear stock-recruitment relationship in the presence of stochasticity, signals of density dependence in the vital rates remain clear, suggesting that they might prove to be better indicators of density dependence than stock-recruitment relationships in small pelagic fish.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 John Wiley & Sons Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Mathematics (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Apr 2020 13:40 |
Last Modified: | 21 Jan 2025 17:46 |
Published Version: | https://doi.org/10.1111/faf.12465 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1111/faf.12465 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:159950 |