Literature DB >> 19446333

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

T Dalkvist1, C J Topping, V E Forbes.   

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.

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Year:  2009        PMID: 19446333     DOI: 10.1016/j.ecoenv.2008.10.002

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  8 in total

Review 1.  Epigenetics and its implications for ecotoxicology.

Authors:  Michiel B Vandegehuchte; Colin R Janssen
Journal:  Ecotoxicology       Date:  2011-03-22       Impact factor: 2.823

2.  Improving the selection of focal species exposed to pesticides to support ecological risk assessments.

Authors:  Camila Andrade; François Chiron; Romain Julliard
Journal:  Ecotoxicology       Date:  2012-08-18       Impact factor: 2.823

3.  The effects of landscape modifications on the long-term persistence of animal populations.

Authors:  Jacob Nabe-Nielsen; Richard M Sibly; Mads C Forchhammer; Valery E Forbes; Christopher J Topping
Journal:  PLoS One       Date:  2010-01-28       Impact factor: 3.240

4.  Assessing triclosan-induced ecological and trans-generational effects in natural phytoplankton communities: a trait-based field method.

Authors:  Francesco Pomati; Luca Nizzetto
Journal:  Ecotoxicology       Date:  2013-04-06       Impact factor: 2.823

5.  How predation and landscape fragmentation affect vole population dynamics.

Authors:  Trine Dalkvist; Richard M Sibly; Chris J Topping
Journal:  PLoS One       Date:  2011-07-29       Impact factor: 3.240

6.  A real-world implementation of a nationwide, long-term monitoring program to assess the impact of agrochemicals and agricultural practices on biodiversity.

Authors:  Camila Andrade; Alexandre Villers; Gérard Balent; Avner Bar-Hen; Joël Chadoeuf; Daniel Cylly; Daniel Cluzeau; Guillaume Fried; Sarah Guillocheau; Olivier Pillon; Emmanuelle Porcher; Jessica Tressou; Ohri Yamada; Nicolas Lenne; Jérôme Jullien; Pascal Monestiez
Journal:  Ecol Evol       Date:  2021-03-04       Impact factor: 2.912

7.  Modelling Skylarks (Alauda arvensis) to predict impacts of changes in land management and policy: development and testing of an agent-based model.

Authors:  Christopher J Topping; Peter Odderskær; Johnny Kahlert
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

8.  Post-hoc pattern-oriented testing and tuning of an existing large model: lessons from the field vole.

Authors:  Christopher J Topping; Trine Dalkvist; Volker Grimm
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

  8 in total

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