IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v278y2014icp52-66.html
   My bibliography  Save this article

Assessing changes in the southern Humboldt in the 20th century using food web models

Author

Listed:
  • Neira, Sergio
  • Moloney, Coleen
  • Shannon, Lynne J.
  • Christensen, Villy
  • Arancibia, Hugo
  • Jarre, Astrid

Abstract

This paper assesses changes in the southern Humboldt system (33–39°S) in the 20th century by constructing and comparing food web models representing four historical periods: (i) lightly exploited (<1900s), (ii) altered by removal of marine mammals (1950), (iii) development of industrial fisheries (1992), and (iv) the more recent state (2005) when main stocks are fully or overexploited. Models are constructed with a standard structure in terms of functional groups using the Ecopath with Ecosim (EwE) software version 5.1. Model components include: the fisheries, cetaceans, sea lions, marine birds, cephalopods, large-sized pelagic fish (swordfish), medium-sized pelagic fish (e.g., horse mackerel, mackerel, and Pacific grenadier), small-sized pelagic fish (e.g., anchovy and Araucanian herring), demersal fish (e.g., Chilean hake, black conger-eel), benthic invertebrates (red squat lobster, yellow squat lobster, pink shrimp) and other groups such as zooplankton, phytoplankton and detritus. Input data are gathered from published and unpublished (grey) literature. Inter-model comparison is based on individual and community indicators obtained by means of network analysis. The biomasses of target species (with the exception of small pelagic fish) and top predators decrease in more recent models. Although predation mortality is the main cause of total mortality for the majority of the fish groups in all models, fishing mortality of target species is high in the 1992 and 2005 models. This has led to a decrease in the importance of predation removal of the most important fish stocks compared with fishing, which is found to assume the role of the main predator in the system in the more recent state. Changes in system energetics could have resulted in loss of productivity by increased flow to detritus. Prior to heavy fishing, long-living and high-trophic level species were abundant compared to the most recent models in which species with small body size, short life span and low trophic level dominate. These fishing-induced trends are in accordance with what is theoretically expected in stressed ecosystems and, if correct, the food web could now be more susceptible to external forcing and negative ecological interactions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:278:y:2014:i:c:p:52-66
    DOI: 10.1016/j.ecolmodel.2014.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380014000374
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2014.01.003?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. Neira, Sergio & Moloney, Coleen & Christensen, Villy & Cury, Philippe & Shannon, Lynne & Arancibia, Hugo, 2014. "Analysing changes in the southern Humboldt ecosystem for the period 1970–2004 by means of dynamic food web modelling," Ecological Modelling, Elsevier, vol. 274(C), pages 41-49.
    2. Reg Watson & Daniel Pauly, 2001. "Systematic distortions in world fisheries catch trends," Nature, Nature, vol. 414(6863), pages 534-536, November.
    3. Jeffrey A. Hutchings, 2000. "Collapse and recovery of marine fishes," Nature, Nature, vol. 406(6798), pages 882-885, August.
    4. Coll, Marta & Palomera, Isabel & Tudela, Sergi, 2009. "Decadal changes in a NW Mediterranean Sea food web in relation to fishing exploitation," Ecological Modelling, Elsevier, vol. 220(17), pages 2088-2102.
    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. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.

    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. 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).
    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. Dana Miller & Stefano Mariani, 2013. "Irish fish, Irish people: roles and responsibilities for an emptying ocean," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(2), pages 529-546, April.
    5. Giné, Xavier & Martinez-Bravo, Monica & Vidal-Fernández, Marian, 2017. "Are labor supply decisions consistent with neoclassical preferences? Evidence from Indian boat owners," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 331-347.
    6. Evangelos Tzanatos & Dionysios Raitsos & George Triantafyllou & Stylianos Somarakis & Anastasios Tsonis, 2014. "Indications of a climate effect on Mediterranean fisheries," Climatic Change, Springer, vol. 122(1), pages 41-54, January.
    7. Sitsofe Tsagbey & Miguel de Carvalho & Garritt L. Page, 2017. "All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 231-235, July.
    8. Bailey, Jennifer, 2016. "Adventures in cross-disciplinary studies: Grand strategy and fisheries management," Marine Policy, Elsevier, vol. 63(C), pages 18-27.
    9. Jacques, Peter J., 2015. "Are world fisheries a global panarchy?," Marine Policy, Elsevier, vol. 53(C), pages 165-170.
    10. Hallstein, Eric & Villas-Boas, Sofia B., 2013. "Can household consumers save the wild fish? Lessons from a sustainable seafood advisory," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 52-71.
    11. Trond Bjørndal & Daniel Gordon & Mintewab Bezabih, 2012. "Measuring potential profits in a bioeconomic model of the mixed demersal fishery in the North Sea," Journal of Bioeconomics, Springer, vol. 14(2), pages 147-166, July.
    12. 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.
    13. 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.
    14. Alva-Basurto, Jorge Christian & Arias-González, Jesús Ernesto, 2014. "Modelling the effects of climate change on a Caribbean coral reef food web," Ecological Modelling, Elsevier, vol. 289(C), pages 1-14.
    15. 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.
    16. 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.
    17. 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.
    18. Pemsl, D.E. & Bose, M.L., 2008. "Recommendation domains for pond aquaculture: country case study: development and status of freshwater aquaculture in Henan Province, China," Monographs, The WorldFish Center, number 38122, April.
    19. James Hilger & Eric Hallstein & Andrew W. Stevens & Sofia B. Villas-Boas, 2019. "Measuring Willingness to Pay for Environmental Attributes in Seafood," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 307-332, May.
    20. 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.

    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:278:y:2014:i:c:p:52-66. 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.