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

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

Ecological Modelling, 2022, vol. 472, issue C

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.

Keywords: Bayesian inference; Demographic stochasticity; Model selection; Nested stochastic population models; Age-structured model; Ecotoxicology (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:472:y:2022:i:c:s0304380022001818

DOI: 10.1016/j.ecolmodel.2022.110076

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