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The year-class phenomenon and the storage effect in marine fishes
Institution:1. Michigan State University, Department of Fisheries and Wildlife, Quantitative Fisheries Center, 480 Wilson Road, East Lansing, MI 48824, USA;2. U.S. Geological Survey, Great Lakes Science Center, Lake Superior Biological Station, 2800 Lakeshore Drive, Ashland, WI 54806, USA;3. University of Minnesota, Duluth Campus, 207 Swenson Science Building, 1035 Kirby Drive, Duluth, MN 55812, USA;4. Michigan Department of Natural Resources, Charlevoix Fisheries Research Station, 96 Grant Street, Charlevoix, MI 49720, USA;5. Chippewa Ottawa Resource Authority, 179 West Three Mile Road, Sault Sainte Marie, MI 49783, USA;6. Ontario Ministry of Natural Resources, Upper Great Lakes Management Unit, 435 James Street South, Suite 221e, Thunder Bay, ON P7E 6S8, Canada;1. Finnish Game and Fisheries Research Institute, Itäinen Pitkäkatu 3A, FI-20520 Turku, Finland;2. Finnish Game and Fisheries Research Institute, Survontie 9, FI-40500 Jyväskylä, Finland;1. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (CIC), Calle 526 entre 10 y 11, CP: 1900 La Plata, Argentina;2. Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP), Paseo Victoria Ocampo N° 1, B7602HSA Mar del Plata, Argentina;1. University of Prince Edward Island, Faculty of Science, Biology Department, 550 University Ave., Charlottetown, PE, C1A 4P3, Canada;2. Illinois Natural History Survey, University of Illinois, 1816 S. Oak St., Champaign, IL, 61820, United States;3. Southern Illinois University, Dept. of Zoology, 173 Life Science II,1125 Lincoln Drive, Carbondale, IL, 62901, United States;4. Illinois Department of Natural Resources, 9511 Harrison Street, Des Plaines, Illinois, 60016, United States;1. Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, P.O. Box 38, Solomons, MD, 20688, USA;2. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, 101 Pivers Island Road, Beaufort, NC, 28516, USA;1. European Commission, Joint Research Centre (JRC), Institute for the Protection and Security of the Citizen (IPSC), Maritime Affairs Unit, Via Enrico Fermi 2749, 21027 Ispra, VA, Italy;2. IFREMER, Station de Sète, Avenue Jean Monnet, CS 30171, 34203 Sète Cedex, France;3. Fisheries and Oceans Canada, St. Andrews Biological Station, 531 Brandy Cove Road, St. Andrews, NB E5B 2L9, Canada;4. AZTI-Tecnalia, Marine Research Division, Herrera Kaia Portualdea z/g, 20110 Pasaia, Basque Country, Spain;5. Institute of Oceanography and Fisheries, ?etali?te Ivana, Me?trovi?a 63, 21000 Split, Croatia;7. Dirección General de Investigación Pesquera en el Atlántico, Instituto Nacional de Pesca, Mexico;8. Hellenic Center for Marine Research, Institute of Marine Biological Resources and Inland Waters, PO Box 2214, 71003 Heraklion, Greece;9. Instituto Español de Oceanografìa, Moll de Ponent, s/n, 07015 Palma de Mallorca, Balearic Islands, Spain;10. Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti (DISSPA), Università degli Studi di Bari Aldo Moro, Campus Universitario, Via Amendola 165/A, 70126 Bari, Italy;11. Istanbul University, Faculty of Fisheries, Ordu st. No. 200, 34470 Laleli, Istanbul, Turkey;12. Faculty of Biology, Department of Zoology-Marine Biology, University of Athens, Panepistimiopolis, Ilissia, 15784 Athens, Greece;13. Ege University, Faculty of Fisheries, 35100 Bornova, Izmir, Turkey;14. National Institute for Aquatic Resources (DTU Aqua), Technical University of Denmark, Charlottenlund Castle, DK 2920 Charlottenlund, Denmark;15. NOAA/NMFS/SEFSC, 75 Virginia Beach Drive, Miami, FL 33149, USA;q. Dipartimento di Scienze della Vita e dell’Ambiente, Università di Cagliari, Via Fiorelli 1, 09126 Cagliari, Italy
Abstract:Factors contributing to population growth through strong year-class formation have driven a century of directed research in fisheries science. A central discovery of Hjort's paradigm was that multiple generations overlap and longevity is matched with frequency of strong recruitments. Here, I elaborate on this tenet by examining how intra-population modalities in spawning and early habitat use favour population resiliency. A modern theory that has application is the storage effect Warner, R.R., Chesson, P.L., 1985. Coexistence mediated by recruitment fluctuations – a field guide to the storage effect. Am. Nat. 125, 769–787], whereby spawning stock biomass accumulates each year so that when early survival conditions are favourable, stored egg production can result in explosive population growth. I review two early life history behaviours that contribute to the storage effect: split cohorts (i.e., seasonal pulses of eggs and larvae) and contingent behaviour (i.e., dispersive and retentive patterns in early dispersal). Episodic and pulsed production of larvae is a common feature for marine fishes, well documented through otolith microstructure and hatch-date analyses. In temperate and boreal fishes, early and late spawned cohorts of larvae and juveniles may have differing fates dependent upon seasonal and inter-annual fluctuations in weather and climate. Often, a coastal fish may spawn for a protracted period, yet only a few days' egg production will result in successful recruitment. In these and other instances, it is clear that diversity in spawning behaviour can confer resilience against temporal variations in early survival conditions. Although many factors contribute to intra-population spawning modalities, size and age structure of adults play an important role. Contingent structure, an idea dating to Hjort (herring contingents) and Gilbert (salmon contingents), has been resurrected to describe the diversity of intra-population modalities observed through otolith microchemical and electronic tagging approaches. Retentive and dispersive behaviours confer resiliency against early survival conditions that vary spatially. Examples of contingent structure are increasingly numerous for diadromous fishes. Here, a nursery habitat associated with a contingent behaviour may make a small contribution in a given year, but over a decade contribute significantly to spawning stock biomass. For flatfish and other marine fishes, contingent structure is probable but not well documented. Proximate factors leading to contingent structure are poorly known, but for diadromous fishes, time of spawning and early life history energetic thresholds is hypothesized to lead to alternative life cycles. Here again time of spawning may lead to the storage effect by hedging against spatial variance in early vital rates. Managing for the storage effect will be promoted by conservation of adult age structure and early habitats upon which both strong and weak year-classes rely.
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