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Population relevance of toxicant mediated changes in sex ratio in fish: An assessment using an individual-based zebrafish (Danio rerio) model

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  • Hazlerigg, Charles R.E.
  • Tyler, Charles R.
  • Lorenzen, Kai
  • Wheeler, James R.
  • Thorbek, Pernille

Abstract

Ecological risk assessments (ERAs) of toxicants are predominantly based on data from laboratory tests on individuals. However, the protection goal is generally at the population level. Ecological modelling has the potential to link individual-level effects to population-level outcomes. Here we developed an individual-based zebrafish population model to study the possible population-level relevance of toxicant-mediated changes in sex ratio. The model was structured with sub-models based on empirical data (e.g. growth, reproduction, mortality) derived from a combination of our own laboratory and field experiments, the literature and theoretical concepts. The outputs of the default model were validated against size distributions for wild populations of zebrafish sampled in Bangladesh. Sensitivity analysis showed that population abundance was most sensitive to changes in density-dependent survival and the availability of refugia for juveniles.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:280:y:2014:i:c:p:76-88
    DOI: 10.1016/j.ecolmodel.2013.12.016
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    1. 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.
    2. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    3. Andrew M. J. Skinner & Penelope J. Watt, 2007. "Strategic egg allocation in the zebra fish, Danio rerio," Behavioral Ecology, International Society for Behavioral Ecology, vol. 18(5), pages 905-909.
    4. Rowena Spence & Carl Smith, 2006. "Mating preference of female zebrafish, Danio rerio, in relation to male dominance," Behavioral Ecology, International Society for Behavioral Ecology, vol. 17(5), pages 779-783, September.
    5. Esben M. Olsen & Mikko Heino & George R. Lilly & M. Joanne Morgan & John Brattey & Bruno Ernande & Ulf Dieckmann, 2004. "Maturation trends indicative of rapid evolution preceded the collapse of northern cod," Nature, Nature, vol. 428(6986), pages 932-935, April.
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    1. Forbes, Valery E., 2024. "The need for standardization in ecological modeling for decision support: Lessons from ecological risk assessment," Ecological Modelling, Elsevier, vol. 492(C).
    2. Li, Yan & Blazer, Vicki S. & Iwanowicz, Luke R. & Schall, Megan Kepler & Smalling, Kelly & Tillitt, Donald E. & Wagner, Tyler, 2020. "Ecological risk assessment of environmental stress and bioactive chemicals to riverine fish populations: An individual-based model of smallmouth bass Micropterus dolomieu✰," Ecological Modelling, Elsevier, vol. 438(C).
    3. 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).
    4. 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.
    5. Mintram, Kate S. & Brown, A. Ross & Maynard, Samuel K. & Liu, Chun & Parker, Sarah-Jane & Tyler, Charles R. & Thorbek, Pernille, 2018. "Assessing population impacts of toxicant-induced disruption of breeding behaviours using an individual-based model for the three-spined stickleback," Ecological Modelling, Elsevier, vol. 387(C), pages 107-117.

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