PREDICTING THE SENSITIVITY OF POPULATIONS FROM INDIVIDUAL EXPOSURE TO CHEMICALS: THE ROLE OF ECOLOGICAL INTERACTIONS
Authored by Thomas G Preuss, Faten Gabsi, Andreas Schaeffer
Date Published: 2014
DOI: 10.1002/etc.2409
Sponsors:
European Union
Platforms:
No platforms listed
Model Documentation:
ODD
Mathematical description
Model Code URLs:
Model code not found
Abstract
Population responses to chemical stress exposure are influenced by
nonchemical, environmental processes such as species interactions. A
realistic quantification of chemical toxicity to populations calls for
the use of methodologies that integrate these multiple stress effects.
The authors used an individual-based model for Daphnia magna as a
virtual laboratory to determine the influence of ecological interactions
on population sensitivity to chemicals with different modes of action on
individuals. In the model, hypothetical chemical toxicity targeted
different vital individual-level processes: reproduction, survival, feeding rate, or somatic growth rate. As for species interactions, predatory and competition effects on daphnid populations were
implemented following a worst-case approach. The population abundance
was simulated at different food levels and exposure scenarios, assuming
exposure to chemical stress solely or in combination with either
competition or predation. The chemical always targeted one vital
endpoint. Equal toxicity-inhibition levels differently affected the
population abundance with and without species interactions. In addition, population responses to chemicals were highly sensitive to the
environmental stressor (predator or competitor) and to the food level.
Results show that population resilience cannot be attributed to chemical
stress only. Accounting for the relevant ecological interactions would
reduce uncertainties when extrapolating effects of chemicals from
individuals to the population level. Validated population models should
be used for a more realistic risk assessment of chemicals. (C) 2014
SETAC
Tags
models
contamination
growth
Food
Risk-assessment
Daphnia-magna
Reproduction
Competition delays recovery
Multiple
stressors
Toxicant