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Development and validation of an individual based Daphnia magna population model: The influence of crowding on population dynamics

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  • Preuss, Thomas Günter
  • Hammers-Wirtz, Monika
  • Hommen, Udo
  • Rubach, Mascha Nadine
  • Ratte, Hans Toni

Abstract

An individual-based model was developed to predict the population dynamics of Daphnia magna at laboratory conditions from individual life-history traits observed in experiments with different feeding conditions. Within the model, each daphnid passes its individual life cycle including feeding on algae, aging, growing, developing and – when maturity is reached – reproducing. The modelled life cycle is driven by the amount of ingested algae and the density of the Daphnia population. At low algae densities the population dynamics is mainly driven by food supply, when the densities of algae are high, the limiting factor is “crowding” (a density-dependent mechanism due to chemical substances released by the organisms or physical contact, but independent of food competition).

Suggested Citation

  • Preuss, Thomas Günter & Hammers-Wirtz, Monika & Hommen, Udo & Rubach, Mascha Nadine & Ratte, Hans Toni, 2009. "Development and validation of an individual based Daphnia magna population model: The influence of crowding on population dynamics," Ecological Modelling, Elsevier, vol. 220(3), pages 310-329.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:3:p:310-329
    DOI: 10.1016/j.ecolmodel.2008.09.018
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    References listed on IDEAS

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    1. Vanoverbeke, Joost, 2008. "Modeling individual and population dynamics in a consumer–resource system: Behavior under food limitation and crowding and the effect on population cycling in Daphnia," Ecological Modelling, Elsevier, vol. 216(3), pages 385-401.
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    1. Imron, Muhammad Ali & Gergs, Andre & Berger, Uta, 2012. "Structure and sensitivity analysis of individual-based predator–prey models," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 71-81.
    2. Richard Ottermanns & Kerstin Szonn & Thomas G Preuß & Martina Roß-Nickoll, 2014. "Non-Linear Analysis Indicates Chaotic Dynamics and Reduced Resilience in Model-Based Daphnia Populations Exposed to Environmental Stress," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-13, May.
    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. Hazlerigg, Charles R.E. & Tyler, Charles R. & Lorenzen, Kai & Wheeler, James R. & Thorbek, Pernille, 2014. "Population relevance of toxicant mediated changes in sex ratio in fish: An assessment using an individual-based zebrafish (Danio rerio) model," Ecological Modelling, Elsevier, vol. 280(C), pages 76-88.
    5. Gergs, André & Ratte, Hans Toni, 2009. "Predicting functional response and size selectivity of juvenile Notonecta maculata foraging on Daphnia magna," Ecological Modelling, Elsevier, vol. 220(23), pages 3331-3341.
    6. Palamara, Gian Marco & Dennis, Stuart R. & Haenggi, Corinne & Schuwirth, Nele & Reichert, Peter, 2022. "Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model," Ecological Modelling, Elsevier, vol. 472(C).
    7. Strauss, Tido & Kulkarni, Devdutt & Preuss, Thomas G. & Hammers-Wirtz, Monika, 2016. "The secret lives of cannibals: Modelling density-dependent processes that regulate population dynamics in Chaoborus crystallinus," Ecological Modelling, Elsevier, vol. 321(C), pages 84-97.
    8. Strauss, Tido & Gabsi, Faten & Hammers-Wirtz, Monika & Thorbek, Pernille & Preuss, Thomas G., 2017. "The power of hybrid modelling: An example from aquatic ecosystems," Ecological Modelling, Elsevier, vol. 364(C), pages 77-88.
    9. 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.
    10. Gabsi, Faten & Hammers-Wirtz, Monika & Grimm, Volker & Schäffer, Andreas & Preuss, Thomas G., 2014. "Coupling different mechanistic effect models for capturing individual- and population-level effects of chemicals: Lessons from a case where standard risk assessment failed," Ecological Modelling, Elsevier, vol. 280(C), pages 18-29.
    11. Liu, Chun & Bednarska, Agnieszka J. & Sibly, Richard M. & Murfitt, Roger C. & Edwards, Peter & Thorbek, Pernille, 2014. "Incorporating toxicokinetics into an individual-based model for more realistic pesticide exposure estimates: A case study of the wood mouse," Ecological Modelling, Elsevier, vol. 280(C), pages 30-39.
    12. Šajna, Nina & Kušar, Primož, 2014. "Modeling species fitness in competitive environments," Ecological Modelling, Elsevier, vol. 275(C), pages 31-36.

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