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Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model

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  • Palamara, Gian Marco
  • Dennis, Stuart R.
  • Haenggi, Corinne
  • Schuwirth, Nele
  • Reichert, Peter

Abstract

Identifying sublethal pesticide effects on aquatic organisms is a challenge for environmental risk assessment. Long-term population experiments can help assessing chronic toxicity. However, population experiments are subject to stochasticity (demographic, environmental, and genetic). Therefore, identifying sublethal chronic effects from “noisy” data can be difficult. Model-based analysis can support this process.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecomod:v:472:y:2022:i:c:s0304380022001818
    DOI: 10.1016/j.ecolmodel.2022.110076
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    References listed on IDEAS

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    1. 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.
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