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Ecology and Evolution
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2022
License: CC BY
Data sources: PubMed Central
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From spawner habitat selection to stock‐recruitment: Implications for assessment

Authors: Stefan Skoglund; Rebecca Whitlock; Erik Petersson; Stefan Palm; Kjell Leonardsson;

From spawner habitat selection to stock‐recruitment: Implications for assessment

Abstract

AbstractThe relationship between the spawning stock size and subsequent number of recruits is a central concept in fisheries ecology. The influence of habitat selection of spawning individuals on the stock‐recruitment relationship is poorly known. Here we explore how each of four different spawner behaviors might influence the stock‐recruitment relationship and estimates of its parameters in the two most commonly used stock‐recruitment functions (Beverton‐Holt and Ricker). Using simulated stock‐recruitment data generated by four different spawner behaviors applied to multiple discrete habitats, we show that when spawners were distributed proportionally to local carrying capacities, there was small or no bias in estimated recruitment and stock‐recruitment parameters. For an ideal free distribution of spawners, larger bias in the estimates of recruitment and stock‐recruitment parameters was obtained, whereas a random and a stepwise spawner behavior introduced the largest bias. Using stock‐recruitment data corresponding to a “realistic” range of population densities and adding measurement error (20%–60%) to the simulated stock‐recruitment data generated larger variation in the estimation bias than what was introduced by the spawner behavior. Thus, for exploited stocks at low population density and where spawning stock size and recruitment cannot be observed perfectly, partial observation of the possible spawner abundance range and measurement error might be of higher concern for management.

Country
Sweden
Keywords

Ecology, Research Articles

  • BIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold