Literature DB >> 17867885

An individual-based approach to model spatial population dynamics of invertebrates in aquatic ecosystems after pesticide contamination.

Paul J Van den Brink1, J M Hans Baveco, Jana Verboom, Fred Heimbach.   

Abstract

In the present study we present a population model (Metapopulation model for Assessing Spatial and Temporal Effects of Pesticides [MASTEP]) describing the effects on and recovery of the waterlouse Asellus aquaticus after exposure to a fast-acting, nonpersistent insecticide as a result of spray drift in pond, ditch, and stream scenarios. The model used the spatial and temporal distribution of the exposure in different treatment conditions as an input parameter. A dose-response relation derived from a hypothetical mesocosm study was used to link the exposure with the effects. The modeled landscape was represented as a lattice of 1- by 1-m cells. The model included processes of mortality of A. aquaticus, life history, random walk between cells, density dependence of population regulation, and, in the case of the stream scenario, medium-distance drift of A. aquaticus due to flow. All parameter estimates were based on expert judgment and the results of a thorough review of published information on the ecology of A. aquaticus. In the treated part of the water body, the ditch scenario proved to be the worst-case situation, due to the absence of drift of A. aquaticus. Effects in the pond scenario were smaller because the pond was exposed from one side, allowing migration from the other, less contaminated side. The results of the stream scenario showed the importance of including drift for the population recovery in the 100-m stretch of the stream that was treated. It should be noted, however, that the inclusion of drift had a negligible impact on numbers in the stream as a whole (600 m).

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Year:  2007        PMID: 17867885     DOI: 10.1897/07-022R.1

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  6 in total

1.  Evaluation of suitable endpoints for assessing the impacts of toxicants at the community level.

Authors:  Francisco Sánchez-Bayo; Kouchi Goka
Journal:  Ecotoxicology       Date:  2011-11-26       Impact factor: 2.823

2.  CREAM: a European project on mechanistic effect models for ecological risk assessment of chemicals.

Authors:  Volker Grimm; Roman Ashauer; Valery Forbes; Udo Hommen; Thomas G Preuss; Annette Schmidt; Paul J van den Brink; Jörn Wogram; Pernille Thorbek
Journal:  Environ Sci Pollut Res Int       Date:  2009-08-07       Impact factor: 4.223

3.  Combined and interactive effects of global climate change and toxicants on populations and communities.

Authors:  S Jannicke Moe; Karel De Schamphelaere; William H Clements; Mary T Sorensen; Paul J Van den Brink; Matthias Liess
Journal:  Environ Toxicol Chem       Date:  2013-01       Impact factor: 3.742

4.  Environmental risk assessment of fluctuating diazinon concentrations in an urban and agricultural catchment using toxicokinetic-toxicodynamic modeling.

Authors:  Roman Ashauer; Irene Wittmer; Christian Stamm; Beate I Escher
Journal:  Environ Sci Technol       Date:  2011-10-19       Impact factor: 9.028

Review 5.  Pesticide risk assessment and management in a globally changing world--report from a European interdisciplinary workshop.

Authors:  Marc Babut; Gertie H Arts; Anna Barra Caracciolo; Nadia Carluer; Nicolas Domange; Nikolai Friberg; Véronique Gouy; Merete Grung; Laurent Lagadic; Fabrice Martin-Laurent; Nicolas Mazzella; Stéphane Pesce; Benoit Real; Stefan Reichenberger; Erwin W M Roex; Kees Romijn; Manfred Röttele; Marianne Stenrød; Julien Tournebize; Françoise Vernier; Eric Vindimian
Journal:  Environ Sci Pollut Res Int       Date:  2013-08-23       Impact factor: 4.223

6.  Non-linear analysis indicates chaotic dynamics and reduced resilience in model-based Daphnia populations exposed to environmental stress.

Authors:  Richard Ottermanns; Kerstin Szonn; Thomas G Preuβ; Martina Roβ-Nickoll
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

  6 in total

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