Population-Level Effects and Recovery of Aquatic Invertebrates after Multiple Applications of an Insecticide
Authored by Thomas G Preuss, Nika Galic, den Brink Paul J Van, Tido Strauss, G Peter Dohmen, Mick Hamer, Laender Frederik De, Stephanie Bopp
Date Published: 2016
DOI: 10.1002/ieam.1676
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Abstract
Standard risk assessment of plant protection products (PPP) combines
``worst-case{''} exposure scenarios with effect thresholds using
assessment (safety) factors to account for uncertainties. If needed, risks can be addressed applying more realistic conditions at higher
tiers, which refine exposure and/or effect assessments using additional
data. However, it is not possible to investigate the wide range of
potential scenarios experimentally. In contrast, ecotoxicological
mechanistic effect models do allow for addressing a multitude of
scenarios. Furthermore, they may aid the interpretation of experiments
such as mesocosm studies, allowing extrapolation to conditions not
covered in experiments. Here, we explore how to use mechanistic effect
models in the aquatic risk assessment of a model insecticide
(Modelmethrin), applied several times per season but rapidly dissipating
between applications. The case study focuses on potential effects on
aquatic arthropods, the most sensitive group for this substance. The
models provide information on the impact of a number of short exposure
pulses on sensitive and/or vulnerable populations and, when impacted, assess recovery. The species to model were selected based on their
sensitivity in laboratory and field (mesocosm) studies. The general
unified threshold model for survival (GUTS) model, which describes the
toxicokinetics and toxicodynamics of chemicals in individuals, was
linked to 3 individual-based models (IBM), translating individual
survival of sensitive organisms into population-level effects. The
impact of pulsed insecticide exposures on populations were modeled using
the spatially explicit IBM metapopulation model for assessing spatial
and temporal effects of pesticides (MASTEP) for Gammarus pulex, the
Chaoborus IBM for populations of Chaoboruscrystallinus, and the
``IdamP{''} model for populations of Daphnia magna. The different models
were able to predict the potential effects of Modelmethrin applications
to key arthropod species inhabiting different aquatic ecosystems; the
most sensitive species were significantly impacted unless respective
mitigation measures were implemented (buffer zones resulting in reduced
exposure). As expected the impact was stronger in shallow ditches as
compared to deeper pond scenarios. Furthermore, as expected, recovery
depended on factors such as temperature (affecting population growth
rate and number of generations) and the occurence of nonimpacted aquatic
ecosystems (their frequency and connectivity). These model predictions
were largely in line with field observations and/or the results of a
mesocosm study, providing additional evidence on the suitability and
reliability of the models for risk assessment purposes. Because of their
flexibility, models may predict the likelihood of unacceptable effects
based on previously defined protection goals fora range of insecticide
exposure scenarios and freshwater habitats. Integr Environ Assess Manag
2016;12:67-81. (C) 2015 SETAC
Tags
Pesticides
exposure
Water-quality
Ecological models
Risk-assessment
Tests
Potential
application
Toxicity
Gammarus-pulex l