Population-level effects in Amphiascus tenuiremis: contrasting matrix- and individual-based population models.

Aquat Toxicol

Stockholm University, Department of Applied Environmental Science (ITM), Svante Arrhenius väg 8, S-106 91 Stockholm, Sweden. Electronic address:

Published: December 2014

AI Article Synopsis

  • Environmental risk assessment (ERA) typically focuses on individual endpoints but aims to protect higher biological levels, and population models can help bridge this gap.
  • The study developed a matrix model (MM) and an individual-based model (IBM) to assess the impacts of lindane on copepod development and reproduction, revealing that MM underestimated population growth effects compared to IBM due to not accounting for delayed development.
  • The findings suggest that the IBM or a more refined MM is preferable for data that involves development shifts, while the simpler MM can be used effectively when only reproduction and mortality data are relevant.

Article Abstract

Environmental risk assessment (ERA) is generally based on individual-level endpoints, even though protection goals in ERA intend higher biological levels. Population models have the potential to translate individual-level endpoints to population-level responses and range from simple demographic equations to highly complex individual based models (IBMs). The aims of the current study were to develop a matrix model (MM) with the structure and parameterization proposed in the draft OECD guideline "Harpacticoid copepod development and reproduction test with Amphiascus tenuiremis", and an IBM with the same data requirements. Experimental data from lindane exposure from validation studies of the OECD guideline was projected to the population level. Lindane does not only cause effects on survival and reproduction, but also on the time it takes to develop from larvae to adults. The two model approaches were contrasted in terms of their ability to properly project these effects on development. The MM projected smaller effects of the lindane treatments on population growth rate compared to the IBM since in its proposed structure, it did not include the delay in development explicitly. Population-level EC10 for population growth rate in the IBM was at the same level as the most sensitive individual-level endpoint, whereas the EC10 from the MM was not as sensitive. Based on these findings, our conclusion is that the IBM (or an improved MM) should be used for datasets including shifts in development, whereas the simpler MM is sufficient for datasets where only mortality and reproduction are affected, or as a screening tool in lower-tier population-level ERA.

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http://dx.doi.org/10.1016/j.aquatox.2014.10.004DOI Listing

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