IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v222y2011i10p1731-1742.html
   My bibliography  Save this article

Interactions between cod, herring and sprat in the changing environment of the Baltic Sea: A dynamic model analysis

Author

Listed:
  • Heikinheimo, Outi

Abstract

The interactions between cod (Gadus morhua), herring (Clupea harengus) and sprat (Sprattus sprattus) in the Central Baltic Sea were examined with a simple dynamic model, an alternative to more complicated and data-demanding multispecies and ecosystem models. The main aims of the study were to compare the effect of alternative structures on the model output and examine the control relationships in the fish assemblage under different environmental conditions. The effect of environmental conditions was modelled using a stock-recruitment equation for cod incorporating an environmental index. The model output was especially sensitive to the functional response in predation by cod on herring and sprat. The type II functional response led to a collapse of the clupeid stocks when cod was abundant, while the type III response produced more realistic stock dynamics. According to the simulations, an abundant cod stock was able to keep the sprat stock at a low level, while the herring stock was less affected and benefited from the decreased density of sprat. Simulation of different fishing scenarios indicated that reducing fishing mortality to the level currently advised by ICES would allow the recovery of the cod stock even in unfavourable environmental conditions.

Suggested Citation

  • Heikinheimo, Outi, 2011. "Interactions between cod, herring and sprat in the changing environment of the Baltic Sea: A dynamic model analysis," Ecological Modelling, Elsevier, vol. 222(10), pages 1731-1742.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:10:p:1731-1742
    DOI: 10.1016/j.ecolmodel.2011.03.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011001128
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.03.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jeffrey A. Hutchings, 2000. "Collapse and recovery of marine fishes," Nature, Nature, vol. 406(6798), pages 882-885, August.
    2. Sandberg, J., 2007. "Cross-ecosystem analyses of pelagic food web structure and processes in the Baltic Sea," Ecological Modelling, Elsevier, vol. 201(3), pages 243-261.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lars Ravensbeck & Ayoe Hoff & Hans Frost, 2016. "Implications for fisheries management by inclusion of marine ecosystem services," IFRO Working Paper 2016/12, University of Copenhagen, Department of Food and Resource Economics.
    2. Barbara Hutniczak, 2014. "Increasing Pressure on Unregulated Species Due to Changes in Individual Vessel Quotas: An Empirical Application to Trawler Fishing in the Baltic Sea," Marine Resource Economics, University of Chicago Press, vol. 29(3), pages 201-217.
    3. Hutniczak, Barbara, 2015. "Modeling heterogeneous fleet in an ecosystem based management context," Ecological Economics, Elsevier, vol. 120(C), pages 203-214.
    4. Emmi Nieminen & Lone Grønbæk Kronbak & Marko Lindroos, 2016. "International Agreements in the Multispecies Baltic Sea Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 109-134, September.
    5. Isomaa, Marleena & Kaitala, Veijo & Laakso, Jouni, 2013. "Baltic cod (Gadus morhua callarias) recovery potential under different environment and fishery scenarios," Ecological Modelling, Elsevier, vol. 266(C), pages 118-125.
    6. Yun, Seong Do & Hutniczak, Barbara & Fenichel, Eli P. & Abbott, Joshua K., 2016. "The Wealth of Ecosystems:Valuing Natural Capital in the Context of Ecosystem Based Management," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235737, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Ying & Duan, Lijie & Li, Shiyu & Zeng, Zeyu & Failler, Pierre, 2015. "Modeling the effect of the seasonal fishing moratorium on the Pearl River Estuary using ecosystem simulation," Ecological Modelling, Elsevier, vol. 312(C), pages 406-416.
    2. Erhardt, Tobias & Weder, Rolf, 2020. "Shark hunting: On the vulnerability of resources with heterogeneous species," Resource and Energy Economics, Elsevier, vol. 61(C).
    3. Isomaa, Marleena & Kaitala, Veijo & Laakso, Jouni, 2013. "Baltic cod (Gadus morhua callarias) recovery potential under different environment and fishery scenarios," Ecological Modelling, Elsevier, vol. 266(C), pages 118-125.
    4. Tomczak, M.T. & Niiranen, S. & Hjerne, O. & Blenckner, T., 2012. "Ecosystem flow dynamics in the Baltic Proper—Using a multi-trophic dataset as a basis for food–web modelling," Ecological Modelling, Elsevier, vol. 230(C), pages 123-147.
    5. Yates, K.L., 2014. "View from the wheelhouse: Perceptions on marine management from the fishing community and suggestions for improvement," Marine Policy, Elsevier, vol. 48(C), pages 39-50.
    6. Zhang, Chongliang & Chen, Yong & Ren, Yiping, 2016. "The efficacy of fisheries closure in rebuilding depleted stocks: Lessons from size-spectrum modeling," Ecological Modelling, Elsevier, vol. 332(C), pages 59-66.
    7. Dercole, Fabio & Della Rossa, Fabio, 2017. "A deterministic eco-genetic model for the short-term evolution of exploited fish stocks," Ecological Modelling, Elsevier, vol. 343(C), pages 80-100.
    8. Eisenbarth, Sabrina, 2022. "Do exports of renewable resources lead to resource depletion? Evidence from fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    9. Isomaa, Marleena & Kaitala, Veijo & Laakso, Jouni, 2014. "Determining the impact of initial age structure on the recovery of a healthy over-harvested population," Ecological Modelling, Elsevier, vol. 286(C), pages 45-52.
    10. James M. Stewart & Peter D. Callagher, 2003. "New Zealand fisheries management: changes in property rights structure and implications for sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 11(2), pages 69-76.
    11. Erhardt, Tobias & Weder, Rolf, 2015. "Shark Hunting: International Trade and the Imminent Extinction of Heterogeneous Species," Working papers 2015/07, Faculty of Business and Economics - University of Basel.
    12. Eli D. Lazarus, 2017. "Toward a Global Classification of Coastal Anthromes," Land, MDPI, vol. 6(1), pages 1-27, February.
    13. Sugiawan, Yogi & Islam, Moinul & Managi, Shunsuke, 2017. "Global marine fisheries with economic growth," Economic Analysis and Policy, Elsevier, vol. 55(C), pages 158-168.
    14. Hansen, Lars Gårn & Jensen, Frank & Russell, Clifford, 2013. "Instrument choice when regulators are concerned about resource extinction," Resource and Energy Economics, Elsevier, vol. 35(2), pages 135-147.
    15. Libralato, Simone & Solidoro, Cosimo, 2009. "Bridging biogeochemical and food web models for an End-to-End representation of marine ecosystem dynamics: The Venice lagoon case study," Ecological Modelling, Elsevier, vol. 220(21), pages 2960-2971.
    16. Marick, Sounov & Bhattacharya, Santanu & Bairagi, Nandadulal, 2023. "Dynamic properties of a reaction–diffusion predator–prey model with nonlinear harvesting: A linear and weakly nonlinear analysis," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    17. Grilli, Gianluca & Curtis, John & Hynes, Stephen, 2018. "Using angling logbook data to inform fishery management decisions," Papers WP600, Economic and Social Research Institute (ESRI).
    18. Almeida, Cheila & Karadzic, Vanja & Vaz, Sofia, 2015. "The seafood market in Portugal: Driving forces and consequences," Marine Policy, Elsevier, vol. 61(C), pages 87-94.
    19. Liu, Jing & Qin, Tianbao, 2018. "A Comparative Analysis of Fishing Rights From a Transaction Cost Perspective," Ecological Economics, Elsevier, vol. 153(C), pages 89-99.
    20. Neira, Sergio & Moloney, Coleen & Shannon, Lynne J. & Christensen, Villy & Arancibia, Hugo & Jarre, Astrid, 2014. "Assessing changes in the southern Humboldt in the 20th century using food web models," Ecological Modelling, Elsevier, vol. 278(C), pages 52-66.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:222:y:2011:i:10:p:1731-1742. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.