IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v280y2014icp140-147.html
   My bibliography  Save this article

Dynamic energy budgets in population ecotoxicology: Applications and outlook

Author

Listed:
  • Jager, Tjalling
  • Barsi, Alpar
  • Hamda, Natnael T.
  • Martin, Benjamin T.
  • Zimmer, Elke I.
  • Ducrot, Virginie

Abstract

Most of the experimental testing in ecotoxicology takes place at the individual level, but the protection goals for environmental risk assessment are at the population level (or higher). Population modelling can fill this gap, but only models on a mechanistic basis allow for extrapolation beyond the conditions in the experimental tests. The life-history traits of individuals form the basis of population dynamics, and population modelling thus requires a proper understanding of the individual's behaviour. The dynamic energy budget (DEB) theory offers a flexible platform for the development of models at the individual level. Linking DEB models to population models can thus provide a mechanistic basis for extrapolation. Here, we provide a conceptual overview of DEB theory, with emphasis on its applications in ecotoxicology. Furthermore, we briefly review the applications in which a DEB-based individual model has been linked to structured population dynamics. Finally, we discuss some of the most important areas for further research in this context.

Suggested Citation

  • Jager, Tjalling & Barsi, Alpar & Hamda, Natnael T. & Martin, Benjamin T. & Zimmer, Elke I. & Ducrot, Virginie, 2014. "Dynamic energy budgets in population ecotoxicology: Applications and outlook," Ecological Modelling, Elsevier, vol. 280(C), pages 140-147.
    • Handle: RePEc:eee:ecomod:v:280:y:2014:i:c:p:140-147
    DOI: 10.1016/j.ecolmodel.2013.06.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013003190
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.06.024?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. Billoir, Elise & Péry, Alexandre R.R. & Charles, Sandrine, 2007. "Integrating the lethal and sublethal effects of toxic compounds into the population dynamics of Daphnia magna: A combination of the DEBtox and matrix population models," Ecological Modelling, Elsevier, vol. 203(3), pages 204-214.
    2. Jager, Tjalling & Zimmer, Elke I., 2012. "Simplified Dynamic Energy Budget model for analysing ecotoxicity data," Ecological Modelling, Elsevier, vol. 225(C), pages 74-81.
    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. Grechi, Laura & Franco, Antonio & Palmeri, Luca & Pivato, Alberto & Barausse, Alberto, 2016. "An ecosystem model of the lower Po river for use in ecological risk assessment of xenobiotics," Ecological Modelling, Elsevier, vol. 332(C), pages 42-58.
    2. Guillaumot, Charlène & Saucède, Thomas & Morley, Simon A. & Augustine, Starrlight & Danis, Bruno & Kooijman, Sebastiaan, 2020. "Can DEB models infer metabolic differences between intertidal and subtidal morphotypes of the Antarctic limpet Nacella concinna (Strebel, 1908)?," Ecological Modelling, Elsevier, vol. 430(C).
    3. Jager, Tjalling, 2020. "Revisiting simplified DEBtox models for analysing ecotoxicity data," Ecological Modelling, Elsevier, vol. 416(C).
    4. Jager, Tjalling & Salaberria, Iurgi & Hansen, Bjørn Henrik, 2015. "Capturing the life history of the marine copepod Calanus sinicus into a generic bioenergetics framework," Ecological Modelling, Elsevier, vol. 299(C), pages 114-120.
    5. Accolla, Chiara & Vaugeois, Maxime & Rueda-Cediel, Pamela & Moore, Adrian & Marques, Gonçalo M. & Marella, Purvaja & Forbes, Valery E., 2020. "DEB-tox and Data Gaps: Consequences for individual-level outputs," Ecological Modelling, Elsevier, vol. 431(C).
    6. Haberle, Ines & Marn, Nina & Geček, Sunčana & Klanjšček, Tin, 2020. "Dynamic energy budget of endemic and critically endangered bivalve Pinna nobilis: A mechanistic model for informed conservation," Ecological Modelling, Elsevier, vol. 434(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. Jian, Fuji & Jayas, Digvir S. & White, Noel D.G. & Smith, E.A., 2008. "Numerical analysis and parameter estimation technique for insect population redistribution models," Ecological Modelling, Elsevier, vol. 211(1), pages 47-56.
    2. Mounier, Florence & Loizeau, Véronique & Pecquerie, Laure & Drouineau, Hilaire & Labadie, Pierre & Budzinski, Hélène & Lobry, Jérémy, 2020. "Dietary bioaccumulation of persistent organic pollutants in the common sole Solea solea in the context of global change. Part 2: Sensitivity of juvenile growth and contamination to toxicokinetic param," Ecological Modelling, Elsevier, vol. 431(C).
    3. Lamonica, Dominique & Herbach, Ulysse & Orias, Frédéric & Clément, Bernard & Charles, Sandrine & Lopes, Christelle, 2016. "Mechanistic modelling of daphnid-algae dynamics within a laboratory microcosm," Ecological Modelling, Elsevier, vol. 320(C), pages 213-230.
    4. Jager, Tjalling, 2020. "Revisiting simplified DEBtox models for analysing ecotoxicity data," Ecological Modelling, Elsevier, vol. 416(C).
    5. Radchuk, Viktoriia & Oppel, Steffen & Groeneveld, Jürgen & Grimm, Volker & Schtickzelle, Nicolas, 2016. "Simple or complex: Relative impact of data availability and model purpose on the choice of model types for population viability analyses," Ecological Modelling, Elsevier, vol. 323(C), pages 87-95.
    6. Johnston, A.S.A. & Hodson, M.E. & Thorbek, P. & Alvarez, T. & Sibly, R.M., 2014. "An energy budget agent-based model of earthworm populations and its application to study the effects of pesticides," Ecological Modelling, Elsevier, vol. 280(C), pages 5-17.
    7. Jager, Tjalling & Salaberria, Iurgi & Hansen, Bjørn Henrik, 2015. "Capturing the life history of the marine copepod Calanus sinicus into a generic bioenergetics framework," Ecological Modelling, Elsevier, vol. 299(C), pages 114-120.
    8. Matyja, Konrad, 2023. "Standard dynamic energy budget model parameter sensitivity," Ecological Modelling, Elsevier, vol. 478(C).
    9. Monte, Luigi, 2013. "Characterisation of a nonlinear Leslie matrix model for predicting the dynamics of biological populations in polluted environments: Applications to radioecology," Ecological Modelling, Elsevier, vol. 248(C), pages 174-183.
    10. Accolla, Chiara & Vaugeois, Maxime & Rueda-Cediel, Pamela & Moore, Adrian & Marques, Gonçalo M. & Marella, Purvaja & Forbes, Valery E., 2020. "DEB-tox and Data Gaps: Consequences for individual-level outputs," Ecological Modelling, Elsevier, vol. 431(C).
    11. Erickson, Richard A. & Cox, Stephen B. & Oates, Jessica L. & Anderson, Todd A. & Salice, Christopher J. & Long, Kevin R., 2014. "A Daphnia population model that considers pesticide exposure and demographic stochasticity," Ecological Modelling, Elsevier, vol. 275(C), pages 37-47.
    12. Jager, Tjalling & Goussen, Benoit & Gergs, André, 2023. "Using the standard DEB animal model for toxicokinetic-toxicodynamic analysis," Ecological Modelling, Elsevier, vol. 475(C).
    13. Hamda, Natnael T. & Martin, Benjamin & Poletto, Jamilynn B. & Cocherell, Dennis E. & Fangue, Nann A. & Van Eenennaam, Joel & Mora, Ethan A. & Danner, Eric, 2019. "Applying a simplified energy-budget model to explore the effects of temperature and food availability on the life history of green sturgeon (Acipenser medirostris)," Ecological Modelling, Elsevier, vol. 395(C), pages 1-10.

    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:280:y:2014:i:c:p:140-147. 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.