IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v225y2012icp1-18.html
   My bibliography  Save this article

Towards an adaptive model for simulating growth of marine mesozooplankton: A macromolecular perspective

Author

Listed:
  • Acheampong, E.
  • Nielsen, M.H.
  • Mitra, A.
  • St. John, M.A.

Abstract

Ultimately, the structure and functioning of marine ecosystems is defined by the transfer of autotrophic production to higher trophic levels and selective consumption of these autotrophs by predators. Hence, feeding regulation via modification of grazing and food incorporation by predators is critical for understanding and predicting the dynamics of ecosystems. In marine ecosystem and biogeochemical models, feeding regulation by consumers is assumed to be mainly dictated by food quality (Q), which is determined using food quality modules (FQMs) that mimic a consumers’ ability to anticipate fitness consequences for feeding on specific prey items. Current FQMs are based on frameworks that a priori identify specific food components, usually nitrogen (N), and/or phosphorus, as limiting. This negates the importance of consumer physiology, and ignores biochemical constrains on the limiting role of chemical elements in animal production. To help address these problems, we propose a new adaptive approach that bases Q on consumers’ capacity for food uptake and metabolic physiology. Uniquely, it (i) has separate pathways for the utilisation of carbon (C) associated with proteins, lipids and carbohydrates, (ii) considers stage-specific structural biochemical requirement of animals, and (iii) does not treat consumers’ structural demand for carbon as a “unitary requirement” but discriminates among the required biochemical forms of carbon. The approach is applicable to all heterotrophs. In the example given here the model has been configured to represent the calanoid copepod Acartia tonsa. Consistent with experimental observation, but unlike previous models, our model predicts the relationship between Q and food C:N to be unimodal with a maximum Q only at the threshold C:N for biomass production. Results suggest that prey C:N ratios may be irrelevant for food quality due to macromolecular biochemical constrains on the utilisation of chemical elements. This result emphasizes the importance of biochemical substances in animal nutrition and production as well as the necessity of developing food quality models able to adapt to the biochemical needs of the consumer.

Suggested Citation

  • Acheampong, E. & Nielsen, M.H. & Mitra, A. & St. John, M.A., 2012. "Towards an adaptive model for simulating growth of marine mesozooplankton: A macromolecular perspective," Ecological Modelling, Elsevier, vol. 225(C), pages 1-18.
  • Handle: RePEc:eee:ecomod:v:225:y:2012:i:c:p:1-18
    DOI: 10.1016/j.ecolmodel.2011.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011005205
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.11.002?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. Merico, Agostino & Bruggeman, Jorn & Wirtz, Kai, 2009. "A trait-based approach for downscaling complexity in plankton ecosystem models," Ecological Modelling, Elsevier, vol. 220(21), pages 3001-3010.
    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. Acheampong, Emmanuel & Hense, Inga & St. John, Michael A., 2014. "A model for the description of feeding regulation by mesozooplankton under different conditions of temperature and prey nutritional status," Ecological Modelling, Elsevier, vol. 272(C), pages 84-97.

    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. Gunnar Brandt & Agostino Merico & Björn Vollan & Achim Schlüter, 2012. "Human Adaptive Behavior in Common Pool Resource Systems," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-9, December.
    2. Wan, Nian-Feng & Jiang, Jie-Xian & Li, Bo, 2014. "Modeling ecological two-sidedness for complex ecosystems," Ecological Modelling, Elsevier, vol. 287(C), pages 36-43.
    3. Klauschies, Toni & Coutinho, Renato Mendes & Gaedke, Ursula, 2018. "A beta distribution-based moment closure enhances the reliability of trait-based aggregate models for natural populations and communities," Ecological Modelling, Elsevier, vol. 381(C), pages 46-77.
    4. Castellani, Marco & Rosland, Rune & Urtizberea, Agurtzane & Fiksen, Øyvind, 2013. "A mass-balanced pelagic ecosystem model with size-structured behaviourally adaptive zooplankton and fish," Ecological Modelling, Elsevier, vol. 251(C), pages 54-63.

    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:225:y:2012:i:c:p:1-18. 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.