IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v479y2023ics0304380023000492.html
   My bibliography  Save this article

Are maximum yields sustainable? Effect of intra-annual time-scales on MSY, stability and resilience

Author

Listed:
  • Ricouard, Antoine
  • Lehuta, Sigrid
  • Mahévas, Stéphanie

Abstract

The concept of Maximum Sustainable Yield (MSY) have been lying at the core of the theory of sustainable harvesting a fishery for decades and have become a key reference point for many fishing administrations, including the European Union. However, the existence of a MSY relies on the stability of a population equilibrium. This hypothesis, though always true in the original Schaeffer model, is still challenging in more realistic and recent population models. However, recent advances shows that fish population can exhibit complex dynamics that are ill described by the classical theory. In particular, processes occurring at intra-annual time scales can affect the stability of a population equilibrium even in a strictly single species case. Associated to stability, the resilience of the equilibrium (defined as an inverse return-time following a perturbation) also matters in a management purpose. Here, we introduce an analytical single population model in discrete time with a monthly time-step allowing temporal distinction between maturation and recruitment with density-dependent mortality and fishing exploitation. We show that, thanks to an appropriate population structure, we can easily derive inter-annual population equilibrium, and study their resilience and stability properties. Then, we show that under classical hypothesis concerning density-dependence, equilibrium stability is not guaranteed and that MSY can, in theory, be associated to unstable or low resilient states. However such destabilisation seems unlikely with realistic sets of parameters. Finally, a numerical illustration for sole (Solea solea) of the Bay of Biscay suggests that the value of MSY was sensitive to maturation period whereas viability, stability and resilience was more sensitive to timing of recruitment. The value of FMSY appeared robust to uncertainty concerning maturation and recruitment. We conclude by saying that even if the risk of destabilisation is low for real populations, the risk of decreased resilience near the border of extinction should be cared of.

Suggested Citation

  • Ricouard, Antoine & Lehuta, Sigrid & Mahévas, Stéphanie, 2023. "Are maximum yields sustainable? Effect of intra-annual time-scales on MSY, stability and resilience," Ecological Modelling, Elsevier, vol. 479(C).
  • Handle: RePEc:eee:ecomod:v:479:y:2023:i:c:s0304380023000492
    DOI: 10.1016/j.ecolmodel.2023.110321
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023000492
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110321?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. Chih-hao Hsieh & Christian S. Reiss & John R. Hunter & John R. Beddington & Robert M. May & George Sugihara, 2006. "Fishing elevates variability in the abundance of exploited species," Nature, Nature, vol. 443(7113), pages 859-862, October.
    2. Doyen, L. & Thébaud, O. & Béné, C. & Martinet, V. & Gourguet, S. & Bertignac, M. & Fifas, S. & Blanchard, F., 2012. "A stochastic viability approach to ecosystem-based fisheries management," Ecological Economics, Elsevier, vol. 75(C), pages 32-42.
    3. Zheng, Nan & Wang, Shijia & Cadigan, Noel, 2019. "Local sensitivity equations for maximum sustainable yield reference points," Theoretical Population Biology, Elsevier, vol. 130(C), pages 143-159.
    4. Hilborn, Ray, 2010. "Pretty Good Yield and exploited fishes," Marine Policy, Elsevier, vol. 34(1), pages 193-196, January.
    5. Christian N. K. Anderson & Chih-hao Hsieh & Stuart A. Sandin & Roger Hewitt & Anne Hollowed & John Beddington & Robert M. May & George Sugihara, 2008. "Why fishing magnifies fluctuations in fish abundance," Nature, Nature, vol. 452(7189), pages 835-839, April.
    6. Daniel Pauly & Villy Christensen & Sylvie Guénette & Tony J. Pitcher & U. Rashid Sumaila & Carl J. Walters & R. Watson & Dirk Zeller, 2002. "Towards sustainability in world fisheries," Nature, Nature, vol. 418(6898), pages 689-695, August.
    7. Tahvonen, Olli, 2009. "Economics of harvesting age-structured fish populations," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 281-299, November.
    8. Mesnil, Benoit, 2012. "The hesitant emergence of maximum sustainable yield (MSY) in fisheries policies in Europe," Marine Policy, Elsevier, vol. 36(2), pages 473-480.
    9. Wikström, Anders & Ripa, Jörgen & Jonzén, Niclas, 2012. "The role of harvesting in age-structured populations: Disentangling dynamic and age truncation effects," Theoretical Population Biology, Elsevier, vol. 82(4), pages 348-354.
    Full references (including those not matched with items on IDEAS)

    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. Holland, Daniel S. & Herrera, Guillermo E., 2012. "The impact of age structure, uncertainty, and asymmetric spatial dynamics on regulatory performance in a fishery metapopulation," Ecological Economics, Elsevier, vol. 77(C), pages 207-218.
    2. Violaine Tarizzo & Eric Tromeur & Olivier Thébaud & Richard Little & Sarah Jennings & Luc Doyen, 2018. "Risk averse policies foster bio-economic sustainability in mixed fisheries," Cahiers du GREThA (2007-2019) 2018-07, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    3. Nonaka, Etsuko & Kuparinen, Anna, 2023. "Limited effects of size-selective harvesting and harvesting-induced life-history changes on the temporal variability of biomass dynamics in complex food webs," Ecological Modelling, Elsevier, vol. 476(C).
    4. Nye, Janet A. & Gamble, Robert J. & Link, Jason S., 2013. "The relative impact of warming and removing top predators on the Northeast US large marine biotic community," Ecological Modelling, Elsevier, vol. 264(C), pages 157-168.
    5. Vincent Martinet & Michel de Lara & Julio Peña-Torres & Héctor Ramírez Cabrera, 2012. "Risk and Sustainability: Assessing Fisheries Management Strategies," Working Papers hal-04141121, HAL.
    6. Simonetta Fraschetti & Giuseppe Guarnieri & Stanislao Bevilacqua & Antonio Terlizzi & Ferdinando Boero, 2013. "Protection Enhances Community and Habitat Stability: Evidence from a Mediterranean Marine Protected Area," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-13, December.
    7. Andreas Sundelöf & Valerio Bartolino & Mats Ulmestrand & Massimiliano Cardinale, 2013. "Multi-Annual Fluctuations in Reconstructed Historical Time-Series of a European Lobster (Homarus gammarus) Population Disappear at Increased Exploitation Levels," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
    8. Lemos, Ricardo T., 2016. "An alternative stock-recruitment function for age-structured models," Ecological Modelling, Elsevier, vol. 341(C), pages 14-26.
    9. Thanassekos, Stéphane & Scheld, Andrew M., 2020. "Simulating the effects of environmental and market variability on fishing industry structure," Ecological Economics, Elsevier, vol. 174(C).
    10. Florian Diekert, 2012. "Growth Overfishing: The Race to Fish Extends to the Dimension of Size," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(4), pages 549-572, August.
    11. Hugo C. Mendes & Alberto Murta & R. Vilela Mendes, 2015. "Long Range Dependence And The Dynamics Of Exploited Fish Populations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(07n08), pages 1-14, November.
    12. Frisman, E.Y. & Neverova, G.P. & Revutskaya, O.L., 2011. "Complex dynamics of the population with a simple age structure," Ecological Modelling, Elsevier, vol. 222(12), pages 1943-1950.
    13. Jie Ning & Matthew J. Sobel, 2019. "Easy Affine Markov Decision Processes," Operations Research, INFORMS, vol. 67(6), pages 1719-1737, November.
    14. Engen, Steinar, 2017. "Spatial synchrony and harvesting in fluctuating populations:Relaxing the small noise assumption," Theoretical Population Biology, Elsevier, vol. 116(C), pages 18-26.
    15. John M Halley & Kyle S Van Houtan & Nate Mantua, 2018. "How survival curves affect populations’ vulnerability to climate change," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-18, September.
    16. Vincent Martinet & Julio Peña-Torres & Michel Lara & Hector Ramírez C., 2016. "Risk and Sustainability: Assessing Fishery Management Strategies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 683-707, August.
    17. Wikström, Anders & Ripa, Jörgen & Jonzén, Niclas, 2012. "The role of harvesting in age-structured populations: Disentangling dynamic and age truncation effects," Theoretical Population Biology, Elsevier, vol. 82(4), pages 348-354.
    18. Ni, Yuanming, 2019. "Optimization of age-structured bioeconomic model: recruitment, weight gain and environmental effects," Discussion Papers 2019/4, Norwegian School of Economics, Department of Business and Management Science.
    19. Worden, Lee & Botsford, Louis W. & Hastings, Alan & Holland, Matthew D., 2010. "Frequency responses of age-structured populations: Pacific salmon as an example," Theoretical Population Biology, Elsevier, vol. 78(4), pages 239-249.
    20. Richter, Andries & Dakos, Vasilis, 2015. "Profit fluctuations signal eroding resilience of natural resources," Ecological Economics, Elsevier, vol. 117(C), pages 12-21.

    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:479:y:2023:i:c:s0304380023000492. 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.