Statistical validation of structured population models for Daphnia magna

Ketoprofen affects swimming behavior and impairs physiological endpoints of Daphnia magna

Ketoprofen (KET) is a nonsteroidal anti-inflammatory and analgesic drug commonly used in human and veterinary medicine. This compound is detected in aquatic reservoirs however, little is known about its influence on cladocerans. Therefore, the aim of our study was to determine the influence of KET at concentrations of 0.005 mg/L, 0.05 mg/L, 0.5 mg/L, 5 mg/L and 50 mg/L on behavioral (swimming speed, hopping frequency) and physiological endpoints (heart rate, thoracic limb activity, mandible movements) of Daphnia magna after 24 h and 48 h exposure. The study showed that swimming speed frequency was decreased after 24 h and 48 h at all the concentrations used in the experiment. Hopping frequency was also inhibited, however the lowest amount of the drug induced transient increase of the parameter after 24 h and its subsequent decrease to the control level after 48 h. Although after 24 h of the exposure physiological parameters: heart rate, thoracic limb activity and mandible movements showed slightly lower sensitivity to KET than the behavioral endpoints: were found to be inhibited after 48 h. The results revealed that both behavioral and physiological endpoints of daphnids responded to KET also at the environmental level, therefore in natural conditions this drug should be considered as a hazardous toxicant to crustaceans.

Continuous Structured Population Models for Daphnia magna

We continue our efforts in modeling Daphnia magna, a species of water flea, by proposing a continuously structured population model incorporating density-dependent and density-independent fecundity and mortality rates. We collected new individual-level data to parameterize the individual demographics relating food availability and individual daphnid growth. Our model is fit to experimental data using the generalized least-squares framework, and we use cross-validation and Akaike Information Criteria to select hyper-parameters. We present our confidence intervals on parameter estimates.

An adaptive feedback methodology for determining information content in stable population studies

We develop statistical and mathematical based methodologies for determining (as the experiment progresses) the amount of information required to complete the estimation of stable population parameters with pre-specified levels of confidence. We do this in the context of life table models and data for growth/death for three species of Daphniids as investigated by J. Stark and J. Banks [17]. The ideas developed here also have wide application in the health and social sciences where experimental data are often expensive as well as difficult to obtain.