IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v340y2016icp86-105.html
   My bibliography  Save this article

Management strategy evaluation using the individual-based, multispecies modeling approach OSMOSE

Author

Listed:
  • Grüss, Arnaud
  • Harford, William J.
  • Schirripa, Michael J.
  • Velez, Laure
  • Sagarese, Skyler R.
  • Shin, Yunne-Jai
  • Verley, Philippe

Abstract

End-to-end ecosystem modeling platforms, including OSMOSE, are key tools for informing ecosystem-based fisheries management (EBFM). End-to-end models ideally implement two-way interactions between model components, yet two-way interactions between high trophic level (HTL) functional groups and humans (fisheries managers and fishers) are currently missing in OSMOSE. We developed a management strategy evaluation (MSE) framework for OSMOSE, which allows for feedback between HTL functional groups and fisheries managers. This framework couples OSMOSE to a management procedure integrating decision rules and accounting for scientific uncertainty and the acceptable risk of overfishing. We applied the MSE framework to the OSMOSE model of the West Florida Shelf, so as to conduct an evaluation of total allowable catch (TAC) strategies for red grouper (Epinephelus morio) in a context of episodic events of natural mortality. Our simulations indicate that TAC strategies that assume higher scientific uncertainty and/or lower acceptable risk of overfishing result in higher biomass-related metrics for red grouper. However, the levels of scientific uncertainty and acceptable risk of overfishing impose a trade-off between biomass-related and catch-related metrics for red grouper. Our simulations also indicate that updating red grouper TAC more frequently in a context of episodic events of natural mortality does not have a large impact on biomass-related and catch-related metrics for red grouper and other functional groups. The MSE we conducted for red grouper is strategic, and its outcomes, which were obtained under a specific set of assumptions, must be considered preliminary. We discuss how future research could help enhance understanding of the possible impacts of TAC strategies for red grouper. The MSE framework designed for OSMOSE links the dynamics of HTL functional groups to that of fisheries managers, thereby allowing OSMOSE to be better suited for informing EBFM. This framework is an invaluable asset in assessing the performance of fisheries management strategies, but could also be used for other purposes, such as the evaluation of research monitoring programs.

Suggested Citation

  • Grüss, Arnaud & Harford, William J. & Schirripa, Michael J. & Velez, Laure & Sagarese, Skyler R. & Shin, Yunne-Jai & Verley, Philippe, 2016. "Management strategy evaluation using the individual-based, multispecies modeling approach OSMOSE," Ecological Modelling, Elsevier, vol. 340(C), pages 86-105.
    • Handle: RePEc:eee:ecomod:v:340:y:2016:i:c:p:86-105
    DOI: 10.1016/j.ecolmodel.2016.09.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016304124
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2016.09.011?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. Elizabeth A Fulton & Anthony D M Smith & David C Smith & Penelope Johnson, 2014. "An Integrated Approach Is Needed for Ecosystem Based Fisheries Management: Insights from Ecosystem-Level Management Strategy Evaluation," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-16, January.
    2. Steenbeek, Jeroen & Buszowski, Joe & Christensen, Villy & Akoglu, Ekin & Aydin, Kerim & Ellis, Nick & Felinto, Dalai & Guitton, Jerome & Lucey, Sean & Kearney, Kelly & Mackinson, Steven & Pan, Mike & , 2016. "Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations," Ecological Modelling, Elsevier, vol. 319(C), pages 178-189.
    3. Daniel S. Holland, 2010. "Management Strategy Evaluation and Management Procedures: Tools for Rebuilding and Sustaining Fisheries," OECD Food, Agriculture and Fisheries Papers 25, OECD Publishing.
    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. Grüss, Arnaud & Palomares, Maria L.D. & Poelen, Jorrit H. & Barile, Josephine R. & Aldemita, Casey D. & Ortiz, Shelumiel R. & Barrier, Nicolas & Shin, Yunne-Jai & Simons, James & Pauly, Daniel, 2019. "Building bridges between global information systems on marine organisms and ecosystem models," Ecological Modelling, Elsevier, vol. 398(C), pages 1-19.
    2. Xing, Lei & Zhang, Chongliang & Chen, Yong & Shin, Yunne-Jai & Verley, Philippe & Yu, Haiqing & Ren, Yiping, 2017. "An individual-based model for simulating the ecosystem dynamics of Jiaozhou Bay, China," Ecological Modelling, Elsevier, vol. 360(C), pages 120-131.
    3. Xing, Lei & Chen, Yong & Zhang, Chongliang & Li, Bai & Tanaka, Kisei R. & Boenish, Robert & Ren, Yiping, 2020. "Evaluating impacts of imprecise parameters on the performance of an ecosystem model OSMOSE-JZB," Ecological Modelling, Elsevier, vol. 419(C).

    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. Woodstock, Matthew S. & Sutton, Tracey T. & Frank, Tamara & Zhang, Yuying, 2021. "An early warning sign: trophic structure changes in the oceanic Gulf of Mexico from 2011—2018," Ecological Modelling, Elsevier, vol. 445(C).
    2. Brias, Antoine & Munch, Stephan B., 2021. "Ecosystem based multi-species management using Empirical Dynamic Programming," Ecological Modelling, Elsevier, vol. 441(C).
    3. Sun, Ming & Li, Yunzhou & Ren, Yiping & Chen, Yong, 2019. "Developing and evaluating a management strategy evaluation framework for the Gulf of Maine cod (Gadus morhua)," Ecological Modelling, Elsevier, vol. 404(C), pages 27-35.
    4. P. Leith & E. Ogier & G. Pecl & E. Hoshino & J. Davidson & M. Haward, 2014. "Towards a diagnostic approach to climate adaptation for fisheries," Climatic Change, Springer, vol. 122(1), pages 55-66, January.
    5. Coll, Marta & Steenbeek, Jeroen & Sole, Jordi & Palomera, Isabel & Christensen, Villy, 2016. "Modelling the cumulative spatial–temporal effects of environmental drivers and fishing in a NW Mediterranean marine ecosystem," Ecological Modelling, Elsevier, vol. 331(C), pages 100-114.
    6. Irena Bitunjac & Nikša Jajac & Ivan Katavić, 2016. "Decision Support to Sustainable Management of Bottom Trawl Fleet," Sustainability, MDPI, vol. 8(3), pages 1-23, March.
    7. Weijerman, Mariska & Grace-McCaskey, Cynthia & Grafeld, Shanna L. & Kotowicz, Dawn M. & Oleson, Kirsten L.L. & van Putten, Ingrid E., 2016. "Towards an ecosystem-based approach of Guam's coral reefs: The human dimension," Marine Policy, Elsevier, vol. 63(C), pages 8-17.
    8. Kaplan, Isaac C. & Koehn, Laura E. & Hodgson, Emma E. & Marshall, Kristin N. & Essington, Timothy E., 2017. "Modeling food web effects of low sardine and anchovy abundance in the California Current," Ecological Modelling, Elsevier, vol. 359(C), pages 1-24.
    9. Oostdijk, Maartje & Santos, Maria J. & Agnarsson, Sveinn & Woods, Pamela J., 2019. "Structure and evolution of cod quota market networks in Iceland over times of financial volatility," Ecological Economics, Elsevier, vol. 159(C), pages 279-290.
    10. Weijerman, M. & Link, J.S. & Fulton, E.A. & Olsen, E. & Townsend, H. & Gaichas, S. & Hansen, C. & Skern-Mauritzen, M. & Kaplan, I.C. & Gamble, R. & Fay, G. & Savina, M. & Ainsworth, C. & van Putten, I, 2016. "Atlantis Ecosystem Model Summit: Report from a workshop," Ecological Modelling, Elsevier, vol. 335(C), pages 35-38.
    11. Bracis, Chloe & Lehuta, Sigrid & Savina-Rolland, Marie & Travers-Trolet, Morgane & Girardin, Raphaël, 2020. "Improving confidence in complex ecosystem models: The sensitivity analysis of an Atlantis ecosystem model," Ecological Modelling, Elsevier, vol. 431(C).
    12. Laura S Storch & Sarah M Glaser & Hao Ye & Andrew A Rosenberg, 2017. "Stock assessment and end-to-end ecosystem models alter dynamics of fisheries data," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-11, February.
    13. Gabriele Bammer & Michael O’Rourke & Deborah O’Connell & Linda Neuhauser & Gerald Midgley & Julie Thompson Klein & Nicola J. Grigg & Howard Gadlin & Ian R. Elsum & Marcel Bursztyn & Elizabeth A. Fulto, 2020. "Expertise in research integration and implementation for tackling complex problems: when is it needed, where can it be found and how can it be strengthened?," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-16, December.
    14. Fabio Boschetti & Michael Hughes & Cheryl Jones & Hector Lozano-Montes, 2018. "On Decision Makers’ Perceptions of What an Ecological Computer Model is, What It Does, and Its Impact on Limiting Model Acceptance," Sustainability, MDPI, vol. 10(8), pages 1-10, August.
    15. Fu, Caihong & Travers-Trolet, Morgane & Velez, Laure & Grüss, Arnaud & Bundy, Alida & Shannon, Lynne J. & Fulton, Elizabeth A. & Akoglu, Ekin & Houle, Jennifer E. & Coll, Marta & Verley, Philippe & He, 2018. "Risky business: The combined effects of fishing and changes in primary productivity on fish communities," Ecological Modelling, Elsevier, vol. 368(C), pages 265-276.
    16. Koehn, Laura E. & Essington, Timothy E. & Marshall, Kristin N. & Kaplan, Isaac C. & Sydeman, William J. & Szoboszlai, Amber I. & Thayer, Julie A., 2016. "Developing a high taxonomic resolution food web model to assess the functional role of forage fish in the California Current ecosystem," Ecological Modelling, Elsevier, vol. 335(C), pages 87-100.
    17. Rodrigo A. Estévez & Stefan Gelcich, 2021. "Public Officials’ Knowledge of Advances and Gaps for Implementing the Ecosystem Approach to Fisheries in Chile," Sustainability, MDPI, vol. 13(5), pages 1-17, March.

    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:340:y:2016:i:c:p:86-105. 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.