Literature DB >> 17945344

Comparison of different toxic effect sub-models in ecosystem modelling used for ecological effect assessments and water quality standard setting.

Frederik De Laender1, Karel A C De Schamphelaere, Peter A Vanrolleghem, Colin R Janssen.   

Abstract

Ecosystem models, combining a food web model with a toxic effect sub-model, have been proposed to incorporate ecological interactions in ecological effect assessments. Toxic effect sub-models in different studies tend to differ in (1) the used single-species toxicity data, (2) the effects they consider, (3) the concentration-effect function used. In this paper, we constructed four ecosystem models, each with a different toxic effect sub-model, and tested their capacity to predict biomass changes, and no observed effect concentrations (NOECs) established in an experimental microcosm. For most populations, these predictions depended heavily on the type of ecosystem model. The ecosystem model with a toxic effect sub-model incorporating mortality effects using a logistic concentration-effect function made accurate predictions for most populations. Additional incorporation of sub-lethal effects did not result in better predictions. Ecosystem models using linear concentration-effect functions predict biomass decreases at concentrations that are four times lower than the observed NOECs.

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Year:  2007        PMID: 17945344     DOI: 10.1016/j.ecoenv.2007.08.020

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


  2 in total

1.  Assessment of improvement scenario for water quality in Mogan Lake by using the AQUATOX Model.

Authors:  Atilla Akkoyunlu; Yakup Karaaslan
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-11       Impact factor: 4.223

2.  The ecological competition and grazing reverse the effects of sulfamethoxazole on plankton: a case study on characterizing community-level effect.

Authors:  Changyou Wang; Shengkang Liang; Yong Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-12       Impact factor: 4.223

  2 in total

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