MacCall, Alec D, Francis, Tessa B, Punt, André E, Siple, Margaret C, Armitage, Derek R, Cleary, Jaclyn S, Dressel, Sherri C, Jones, R Russ, Kitka, Harvey, Lee, Lynn C, Levin, Phillip S, McIsaac, Jim, Okamoto, Daniel K, Poe, Melissa, Reifenstuhl, Steve, Schmidt, Jörn , Shelton, Andrew O, Silver, Jennifer J, Thornton, Thomas F, Voss, Rüdiger and Woodruff, John (2018) A heuristic model of socially learned migration behaviour exhibits distinctive spatial and reproductive dynamics. ICES Journal of Marine Science, 51 . DOI 10.1093/icesjms/fsy091.

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Abstract

We explore a “Go With the Older Fish” (GWOF) mechanism of learned migration behaviour for exploited fish populations, where recruits learn a viable migration path by randomly joining a school of older fish. We develop a non-age-structured biomass model of spatially independent spawning sites with local density dependence, based on Pacific herring (Clupea pallasii). We compare a diffusion (DIFF) strategy, where recruits adopt spawning sites near their natal site without regard to older fish, with GWOF, where recruits adopt the same spawning sites, but in proportion to the abundance of adults using those sites. In both models, older individuals return to their previous spawning site. The GWOF model leads to higher spatial variance in biomass. As total mortality increases, the DIFF strategy results in an approximately proportional decrease in biomass among spawning sites, whereas the GWOF strategy results in abandonment of less productive sites and maintenance of high biomass at more productive sites. A DIFF strategy leads to dynamics comparable to non-spatially structured populations. While the aggregate response of the GWOF strategy is distorted, non-stationary and slow to equilibrate, with a production curve that is distinctly flattened and relatively unproductive. These results indicate that fishing will disproportionately affect populations with GWOF behaviour.

Document Type:	Article
Keywords:	entrainment hypothesis, evolutionarily stable strategy, homing behaviour, non-stationary stock–recruitment relationship, socially learned migration, spatial population dynamics
Research affiliation:	Kiel University > Kiel Marine Science OceanRep > The Future Ocean - Cluster of Excellence Kiel University
Refereed:	Yes
Open Access Journal?:	No
Publisher:	Oxford University Press
Projects:	Future Ocean
Date Deposited:	24 Jul 2018 12:03
Last Modified:	08 Feb 2021 07:45
URI:	https://oceanrep.geomar.de/id/eprint/43810

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