https://doi.org/10.25678/0007XZ

Data for: Palamara et al 2022 Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model

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.We use stochastic, age-structured population models applied to data from long-term population experiments with Daphnia galeata in 1L aquaria with and without chronic pesticide treatments (diazinon and diuron) at sublethal concentrations. Posterior analysis following Bayesian inference of model parameters and states helped choosing an adequate description of life-history characteristics under the specific experimental conditions (a zero-inflated negative binomial distribution for reproduction and mortality without density dependence). For the insecticide treatments, the inferred marginal posterior parameter distributions indicated the need for a mortality rate that increases with time, indicating cumulative chronic toxic effects of diazinon on Daphnia populations. With this study, we demonstrate how stochastic models can be used to infer mechanisms from population data to help identifying sublethal pesticide effects.

Data and Resources

Citation

This Data Package

Palamara, G. M., Dennis, S. R., Haenggi, C., Schuwirth, N., & Reichert, P. (2023). Data for: Palamara et al 2022 Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model (Version 1.0) [Data set]. Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/0007XZ

The associated article

Palamara, G. M., Dennis, S. R., Haenggi, C., Schuwirth, N., & Reichert, P. (2022). Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model. Ecological Modelling, 472, 110076. https://doi.org/10.1016/j.ecolmodel.2022.110076

Metadata

Open Data Open Data
Long-term data Long-term data
Author(s)
  • Palamara, Gian Marco
  • Dennis, Stuart R.
  • Haenggi, Corinne
  • Schuwirth, Nele
  • Reichert, Peter
Keywords Bayesian inference,Demographic stochasticity,Model selection,Nested stochastic population models,Age-structured model,Ecotoxicology
Substances (scientific names)
  • Diazinon (InChI=1S/C12H21N2O3PS/c1-6-15-18(19,16-7-2)17-11-8-10(5)13-12(14-11)9(3)4/h8-9H,6-7H2,1-5H3)
  • Diuron (InChI=1S/C9H10Cl2N2O/c1-13(2)9(14)12-6-3-4-7(10)8(11)5-6/h3-5H,1-2H3,(H,12,14))
Substances (generic terms)
  • herbicide
  • pesticide
Taxa (scientific names)
  • Daphnia galeata
Organisms (generic terms)
  • Crustacea
  • Daphnia
Systems
  • lab
Timerange
  • 2017-06-02 TO 2017-09-14
Review Level general
Curator Palamara, Gian Marco
Contact Schuwirth, Nele <Nele.Schuwirth@eawag.ch>
DOI 10.25678/0007XZ