Individual-based model of Chironomus riparius population dynamics over several generations to explore adaptation following exposure to uranium-spiked sediments
Authored by Remy Beaudouin, Victor Dias, Jean Marc Bonzom, Alexandre Pery
Date Published: 2012
DOI: 10.1007/s10646-012-0877-4
Sponsors:
French Ministries
Platforms:
R
Model Documentation:
ODD
Flow charts
Mathematical description
Model Code URLs:
Model code not found
Abstract
Natural populations are chronically exposed to various pollutants over
many generations. It is thus crucial to understand and quantify adaptive
dynamics of stressed populations in order to increase the relevance of
ecotoxicological risk assessment. However, long-term consequences to
population exposure are not much studied yet. The present study
investigated evolutionary responses of Chironomus riparius populations
exposed to uranium (heavy metal pollutant) and to assess the underlying
mechanisms. To fulfil our objective, we produced data with organisms
exposed to four relevant concentrations of uranium through eight
successive generations. We built an individual-based (IBM) model of C.
riparius population dynamics to analyse these data and to test several
assumptions about the mechanisms involved in the phenotypic changes. The
IBM was based on a dynamic energy budget (DEB) model for C. riparius by
Pery et al. (2002). DEB models account mathematically for the
acquisition and use of energy to describe and predict growth, maintenance, development and reproduction of living organisms. The IBM
accounted for the influence of the test conditions on the observations
over eight generations and highlighted some trait evolution such as time
to emergence and adult size in control conditions. The model was then
used to analyse the exposed population data. Our results showed that
exposure to uranium led to a phenotypic selection via a differential
survival characterised by longer time to emergence and smaller larval
maximal size. As a general conclusion, IBMs based on DEB-based modelling
developed to analyse multi-generation experiments are very promising for
understanding and quantifying long term selection and tolerance
mechanisms in a population under toxic stress.
Tags
growth
Genetic-variation
Life-cycle
Toxicity
Diptera-chironomidae
Heterandria-formosa
Cadmium
resistance
Development time
Least killifish
Midge