Population-level impacts of pesticide-induced chronic effects on individuals depend more on ecology than toxicology

Trine Dalkvist, Christopher John Topping, Valery E. Forbes

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

The current method for assessing long-term risk of pesticides to mammals in the EU is based on the individual rather than the population-level and lacks ecological realism. Hence there is little possibility for regulatory authorities to increase ecological realism and understanding of risks at the population-level. Here we demonstrate how, using ABM modelling, assessments at the population-level can be obtained even for a pesticide with complex long-term effects such as epigenetic transmission of reproductive depression. By objectively fitting nonlinear models to the simulation outputs it was possible to compare population depression and recovery rates for a range of scenarios in which toxicity and exposure factors were varied. The system was differentially sensitive to the various factors, but vole ecology and behaviour were at least as important predictors of population-level effects as toxicology. This emphasises the need for greater focus on animal ecology in risk assessments
OriginalsprogEngelsk
TidsskriftEcotoxicology and Environmental Safety
Vol/bind72
Udgave nummer6
Sider (fra-til)1663-1672
Antal sider10
ISSN0147-6513
DOI
StatusUdgivet - 2009

Citer dette

Dalkvist, Trine ; Topping, Christopher John ; Forbes, Valery E. / Population-level impacts of pesticide-induced chronic effects on individuals depend more on ecology than toxicology. I: Ecotoxicology and Environmental Safety. 2009 ; Bind 72, Nr. 6. s. 1663-1672.
@article{14c894d0a77711de92ea000ea68e967b,
title = "Population-level impacts of pesticide-induced chronic effects on individuals depend more on ecology than toxicology",
abstract = "The current method for assessing long-term risk of pesticides to mammals in the EU is based on the individual rather than the population-level and lacks ecological realism. Hence there is little possibility for regulatory authorities to increase ecological realism and understanding of risks at the population-level. Here we demonstrate how, using ABM modelling, assessments at the population-level can be obtained even for a pesticide with complex long-term effects such as epigenetic transmission of reproductive depression. By objectively fitting nonlinear models to the simulation outputs it was possible to compare population depression and recovery rates for a range of scenarios in which toxicity and exposure factors were varied. The system was differentially sensitive to the various factors, but vole ecology and behaviour were at least as important predictors of population-level effects as toxicology. This emphasises the need for greater focus on animal ecology in risk assessments",
keywords = "ABM, IBM, ALMaSS, Ecotoxicology, Long-term, Pesticide, Risk assessment, Microtus agrestis, Vinclozolin",
author = "Trine Dalkvist and Topping, {Christopher John} and Forbes, {Valery E.}",
year = "2009",
doi = "10.1016/j.ecoenv.2008.10.002",
language = "English",
volume = "72",
pages = "1663--1672",
journal = "Ecotoxicology and Environmental Safety",
issn = "0147-6513",
publisher = "Academic Press",
number = "6",

}

Population-level impacts of pesticide-induced chronic effects on individuals depend more on ecology than toxicology. / Dalkvist, Trine; Topping, Christopher John; Forbes, Valery E.

I: Ecotoxicology and Environmental Safety, Bind 72, Nr. 6, 2009, s. 1663-1672.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Population-level impacts of pesticide-induced chronic effects on individuals depend more on ecology than toxicology

AU - Dalkvist, Trine

AU - Topping, Christopher John

AU - Forbes, Valery E.

PY - 2009

Y1 - 2009

N2 - The current method for assessing long-term risk of pesticides to mammals in the EU is based on the individual rather than the population-level and lacks ecological realism. Hence there is little possibility for regulatory authorities to increase ecological realism and understanding of risks at the population-level. Here we demonstrate how, using ABM modelling, assessments at the population-level can be obtained even for a pesticide with complex long-term effects such as epigenetic transmission of reproductive depression. By objectively fitting nonlinear models to the simulation outputs it was possible to compare population depression and recovery rates for a range of scenarios in which toxicity and exposure factors were varied. The system was differentially sensitive to the various factors, but vole ecology and behaviour were at least as important predictors of population-level effects as toxicology. This emphasises the need for greater focus on animal ecology in risk assessments

AB - The current method for assessing long-term risk of pesticides to mammals in the EU is based on the individual rather than the population-level and lacks ecological realism. Hence there is little possibility for regulatory authorities to increase ecological realism and understanding of risks at the population-level. Here we demonstrate how, using ABM modelling, assessments at the population-level can be obtained even for a pesticide with complex long-term effects such as epigenetic transmission of reproductive depression. By objectively fitting nonlinear models to the simulation outputs it was possible to compare population depression and recovery rates for a range of scenarios in which toxicity and exposure factors were varied. The system was differentially sensitive to the various factors, but vole ecology and behaviour were at least as important predictors of population-level effects as toxicology. This emphasises the need for greater focus on animal ecology in risk assessments

KW - ABM

KW - IBM

KW - ALMaSS

KW - Ecotoxicology

KW - Long-term

KW - Pesticide

KW - Risk assessment

KW - Microtus agrestis

KW - Vinclozolin

U2 - 10.1016/j.ecoenv.2008.10.002

DO - 10.1016/j.ecoenv.2008.10.002

M3 - Journal article

VL - 72

SP - 1663

EP - 1672

JO - Ecotoxicology and Environmental Safety

JF - Ecotoxicology and Environmental Safety

SN - 0147-6513

IS - 6

ER -