An individual-based model of Zebrafish population dynamics accounting for energy dynamics

Remy Beaudouin, Benoit Goussen, Benjamin Piccini, Starrlight Augustine, James Devillers, Francois Brion, Alexandre R. R. Pery

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Abstract

Developing population dynamics models for zebrafish is crucial in order to extrapolate from toxicity data measured at the organism level to biological levels relevant to support and enhance ecological risk assessment. To achieve this, a dynamic energy budget for individual zebrafish (DEB model) was coupled to an individual based model of zebrafish population dynamics (IBM model). Next, we fitted the DEB model to new experimental data on zebrafish growth and reproduction thus improving existing models. We further analysed the DEB-model and DEB-IBM using a sensitivity analysis. Finally, the predictions of the DEB-IBM were compared to existing observations on natural zebrafish populations and the predicted population dynamics are realistic. While our zebrafish DEB-IBM model can still be improved by acquiring new experimental data on the most uncertain processes (e.g. survival or feeding), it can already serve to predict the impact of compounds at the population level.
Original languageEnglish
Article numbere0125841
JournalPLOS ONE
Volume10
Issue number5
ISSN1932-6203
DOIs
Publication statusPublished - 2015

Keywords

  • MULTIDISCIPLINARY
  • DANIO-RERIO
  • LARVAL ZEBRAFISH
  • FEMALE ZEBRAFISH
  • RISK-ASSESSMENT
  • WILD ZEBRAFISH
  • SEX-RATIO
  • GROWTH
  • ESTROGEN
  • FISH
  • TEMPERATURE

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