@misc{01HCAFEPVCA5JC99ARP72BVQ5F,
  abstract     = {{Using an individual-based implementation of the dynamic energy budget theory (DEB-IBM),
population dynamics of Ceriodaphnia dubia were predicted. Lethal and sub-lethal effects were
incorporated following respectively the GUTS and DEBtktd approaches. Calibration of the
model was performed based on individual-level data (survival and reproduction over time –
for 10 days) for each surface water type separately.
Two configurations were tested, assuming either shared or independent damage for lethal
and sub-lethal effects. Based on the calibration, independent (non-shared) damage was
preferred, as the value of the dominant rate parameter differed significantly between lethal
and sub-lethal effects. This indicates that there is a difference in toxicokinetic between lethal
and sub-lethal when C. dubia is exposed to Ni. In addition, based on the calibration, the
stochastic death (SD) best described the lethal effects for most waters, with one exception.
Only for the Ankeveen surface water type, the individual tolerance (IT) model proved better,
yet the difference in log-likelihood between IT and SD was only slight and the calibration of
control performance for this water was sub-optimal, likely due to limitations inherent to the
scaled DEB version we used. Overall, the SD approach assuming independent damage is
likely the best configuration to predict lethal effects of Ni to C. dubia.
EC10 values at the population level were predicted based on DEB-IBM simulations. Overall,
population-level EC10 for total population abundance or biomass values were higher than the
observed individual-level EC10 values for reproduction, with one exception. Only for Bihain,
the population EC10 value was predicted to be lower or similar. For all surface water types
except Bihain, total population biomass was predicted more sensitive than total population
abundance.
The ECOPEX factors were calculated for each surface water type, based on the EC10 values
for total population biomass (the overall more sensitive population endpoint). The geometric
mean of the ECOPEX over all waters was 2.30 (range 0.97 to 6.23). This means that on
average, the population is predicted to be a factor 2.30 less sensitive than what is observed
at the individual level. With the DEB-IBM, observed individual-level toxicity data was
extrapolated to the population level. Discrepancies between individual and population level
effects were quantified using this state-of-the-art mechanistic framework.}},
  author       = {{Vlaeminck, Karel and Viaene, Karel and Van Sprang, Patrick and De Schamphelaere, Karel}},
  language     = {{eng}},
  pages        = {{39}},
  publisher    = {{Ghent University & ARCHE Consulting}},
  title        = {{Ecorelevance : development of mechanistic models for metal risk assessment : population-level effects of nickel (Ni) to Ceriodaphnia dubia}},
  year         = {{2022}},
}