IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v487y2024ics0304380023002764.html
   My bibliography  Save this article

Using a time-dynamic food web model to compare predation and fishing mortality in Pleuroncodes monodon (Galatheidae: Crustaceae) and other benthic and demersal resource species off central Chile

Author

Listed:
  • Barros, Mónica E.
  • Arriagada, Ana
  • Arancibia, Hugo
  • Neira, Sergio

Abstract

The stock biomass of the carrot prawn (Pleuroncodes monodon) in the south-central area of Chile (33º–39°S) has decreased progressively in the last 12 years. The depletion and lack of recovery of carrot prawn and other fish and crustacean stocks has been attributed mostly to fishing mortality (F). Predation can be also an important factor for the dynamics of marine species, especially those that are important prey in the ecosystem, like the carrot prawn and other demersal crustaceans. However, predation mortality (M2) has been less studied and quantified in Chile and elsewhere. Therefore, it is important to estimate and compare predation (M2) and fishing (F) mortality to understand their individual and combined effects on the dynamics of fishing stocks. In this study, we analyzed the biomass changes of carrot prawn and other components of the marine food web in south-central Chile from 1992 to 2018. For this, we built a food web model that was later fit to time series of observed biomass and catch data, using observed fishing mortality as forcing factor. We used the Ecopath with Ecosim software as modeling platform. This model provided M2 and F series for carrot prawn and other demersal crustaceans, which were compared to evaluate their relative contribution to total mortality (Z) from 1992 to 2018. The quantitative model considered 29 functional groups, from primary producers to top predators, and the following fishing fleets operating in the study area: artisanal and industrial purse seine fleets, artisanal and industrial hake trawling fleet and demersal prawn trawling fleet. The results indicated that M2 was the main component of Z in adults and juveniles carrot prawns, with Chilean hake as the main predator in both cases. M2 was responsible for 84 % and 86 % of Z of adults and juveniles of carrot prawns, respectively. M2 was also greater than F in yellow prawns (Cervimunida johni), whose main predator was big eye flounder (Hippoglossina macrops). In contrast, F was greater than M2 for the nylon shrimp (Heterocarpus reedi). We conclude that the stock dynamics of the carrot and yellow prawns has been strongly influenced in recent decades by the predation by Chilean hake on pre-recruits of carrot prawn as prey and bigeye flounder on yellow prawn as prey. We recommend that M2 should be considered both in evaluating the past dynamics of these stocks used to establish their status and in future projections used to establish biologically acceptable catch.

Suggested Citation

  • Barros, Mónica E. & Arriagada, Ana & Arancibia, Hugo & Neira, Sergio, 2024. "Using a time-dynamic food web model to compare predation and fishing mortality in Pleuroncodes monodon (Galatheidae: Crustaceae) and other benthic and demersal resource species off central Chile," Ecological Modelling, Elsevier, vol. 487(C).
  • Handle: RePEc:eee:ecomod:v:487:y:2024:i:c:s0304380023002764
    DOI: 10.1016/j.ecolmodel.2023.110546
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023002764
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110546?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. Benjamin S. Halpern & Melanie Frazier & John Potapenko & Kenneth S. Casey & Kellee Koenig & Catherine Longo & Julia Stewart Lowndes & R. Cotton Rockwood & Elizabeth R. Selig & Kimberly A. Selkoe & Sha, 2015. "Spatial and temporal changes in cumulative human impacts on the world’s ocean," Nature Communications, Nature, vol. 6(1), pages 1-7, November.
    2. Heymans, Johanna Jacomina & Coll, Marta & Link, Jason S. & Mackinson, Steven & Steenbeek, Jeroen & Walters, Carl & Christensen, Villy, 2016. "Best practice in Ecopath with Ecosim food-web models for ecosystem-based management," Ecological Modelling, Elsevier, vol. 331(C), pages 173-184.
    3. 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.
    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. Colléter, Mathieu & Valls, Audrey & Guitton, Jérôme & Gascuel, Didier & Pauly, Daniel & Christensen, Villy, 2015. "Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository," Ecological Modelling, Elsevier, vol. 302(C), pages 42-53.
    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. Mackinson, S. & Daskalov, G. & Heymans, J.J. & Neira, S. & Arancibia, H. & Zetina-Rejón, M. & Jiang, H. & Cheng, H.Q. & Coll, M. & Arreguin-Sanchez, F. & Keeble, K. & Shannon, L., 2009. "Which forcing factors fit? Using ecosystem models to investigate the relative influence of fishing and changes in primary productivity on the dynamics of marine ecosystems," Ecological Modelling, Elsevier, vol. 220(21), pages 2972-2987.
    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. Coll, M. & Pennino, M. Grazia & Steenbeek, J. & Sole, J. & Bellido, J.M., 2019. "Predicting marine species distributions: Complementarity of food-web and Bayesian hierarchical modelling approaches," Ecological Modelling, Elsevier, vol. 405(C), pages 86-101.
    2. Püts, Miriam & Taylor, Marc & Núñez-Riboni, Ismael & Steenbeek, Jeroen & Stäbler, Moritz & Möllmann, Christian & Kempf, Alexander, 2020. "Insights on integrating habitat preferences in process-oriented ecological models – a case study of the southern North Sea," Ecological Modelling, Elsevier, vol. 431(C).
    3. Tesfaye, Gashaw & Wolff, Matthias, 2018. "Modeling trophic interactions and the impact of an introduced exotic carp species in the Rift Valley Lake Koka, Ethiopia," Ecological Modelling, Elsevier, vol. 378(C), pages 26-36.
    4. 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.
    5. Heymans, Johanna Jacomina & Coll, Marta & Link, Jason S. & Mackinson, Steven & Steenbeek, Jeroen & Walters, Carl & Christensen, Villy, 2016. "Best practice in Ecopath with Ecosim food-web models for ecosystem-based management," Ecological Modelling, Elsevier, vol. 331(C), pages 173-184.
    6. McGill, Lillian M. & Gerig, Brandon S. & Chaloner, Dominic T. & Lamberti, Gary A., 2017. "An ecosystem model for evaluating the effects of introduced Pacific salmon on contaminant burdens of stream-resident fish," Ecological Modelling, Elsevier, vol. 355(C), pages 39-48.
    7. Lercari, Diego & Defeo, Omar & Ortega, Leonardo & Orlando, Luis & Gianelli, Ignacio & Celentano, Eleonora, 2018. "Long-term structural and functional changes driven by climate variability and fishery regimes in a sandy beach ecosystem," Ecological Modelling, Elsevier, vol. 368(C), pages 41-51.
    8. Haller-Bull, Vanessa & Rovenskaya, Elena, 2019. "Optimizing functional groups in ecosystem models: Case study of the Great Barrier Reef," Ecological Modelling, Elsevier, vol. 411(C).
    9. Ricci, P. & Sion, L. & Capezzuto, F. & Cipriano, G. & D'Onghia, G. & Libralato, S. & Maiorano, P. & Tursi, A. & Carlucci, R., 2021. "Modelling the trophic roles of the demersal Chondrichthyes in the Northern Ionian Sea (Central Mediterranean Sea)," Ecological Modelling, Elsevier, vol. 444(C).
    10. 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).
    11. Ofir, E. & Heymans, J.J. & Shapiro, J. & Goren, M. & Spanier, E. & Gal, G., 2017. "Predicting the impact of Lake Biomanipulation based on food-web modeling—Lake Kinneret as a case study," Ecological Modelling, Elsevier, vol. 348(C), pages 14-24.
    12. Heinichen, Margaret & McManus, M. Conor & Lucey, Sean M. & Aydin, Kerim & Humphries, Austin & Innes-Gold, Anne & Collie, Jeremy, 2022. "Incorporating temperature-dependent fish bioenergetics into a Narragansett Bay food web model," Ecological Modelling, Elsevier, vol. 466(C).
    13. Wang, Sai & Wang, Lin & Chang, Hao-Yen & Li, Feng & Tang, Jin-Peng & Zhou, Xing-An & Li, Xing & Tian, Shi-Mi & Lin, Hsing-Juh & Yang, Yang, 2018. "Longitudinal variation in energy flow networks along a large subtropical river, China," Ecological Modelling, Elsevier, vol. 387(C), pages 83-95.
    14. Hammar, Linus & Gullström, Martin & Dahlgren, Thomas G. & Asplund, Maria E. & Goncalves, Ines Braga & Molander, Sverker, 2017. "Introducing ocean energy industries to a busy marine environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 178-185.
    15. Morris, David J. & Speirs, Douglas C. & Cameron, Angus I. & Heath, Michael R., 2014. "Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos," Ecological Modelling, Elsevier, vol. 273(C), pages 251-263.
    16. 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.
    17. Richter, Andries & Dakos, Vasilis, 2015. "Profit fluctuations signal eroding resilience of natural resources," Ecological Economics, Elsevier, vol. 117(C), pages 12-21.
    18. 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).
    19. Espinoza-Tenorio, Alejandro & Espejel, Ileana & Wolff, Matthias, 2015. "From adoption to implementation? An academic perspective on Sustainable Fisheries Management in a developing country," Marine Policy, Elsevier, vol. 62(C), pages 252-260.
    20. Alberto Roca Florido & Emilio Padilla Rosa, 2024. "Analysing the impacts of a reform on harmful fishery subsidies in Spain using a social accounting matrix," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-29, December.

    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:487:y:2024:i:c:s0304380023002764. 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.