Literature DB >> 11766784

Application of an ecosystem model for aquatic ecological risk assessment of chemicals for a Japanese lake.

Wataru Naito1, Ken-ichi Miyamoto, Junko Nakanishi, Shigeki Masunaga, Steven M Bartell.   

Abstract

The Lake Suwa version of the comprehensive aquatic systems model (CASM-SUWA) was developed using field data from Lake Suwa and evaluated to examine the utility of CASM-SUWA for assessing the ecological risk of chemicals for aquatic ecosystems. The calibration of the parameters for the model provided that the established reference model simulation could reproduce complex seasonal biomass behavior of populations that were not significantly different from the general seasonal pattern for the Lake Suwa ecosystem. The sensitivity analyses revealed the potential importance of indirect effects and demonstrated that the parameter values of all the trophic levels were important in determining the biomass of each trophic level in the model. The risk estimation of linear alkylbenzene sulfonates (LAS) demonstrated that the model estimated the risks of direct toxic effects on each population and the indirect ecological effects that propagate through the food-web in the model ecosystem. The CASM-SUWA-derived benchmark levels were approximately one order of magnitude less than the field-derived NOECs in literature. The analyses of the comparison implied that the model could provide a good basis in determining an ecological protective level of a chemical of concern in aquatic ecosystem. This modeling study demonstrated that the model can be used to provide additional information for the decision-making process in the management of the aquatic ecological risk of chemicals.

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Year:  2002        PMID: 11766784     DOI: 10.1016/s0043-1354(01)00200-7

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  4 in total

1.  Development of aquatic life criteria in China: viewpoint on the challenge.

Authors:  Xiaowei Jin; Yeyao Wang; John P Giesy; Kristine L Richardson; Zijian Wang
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-02       Impact factor: 4.223

2.  Eutrophication in Poyang Lake (Eastern China) over the Last 300 Years in Response to Changes in Climate and Lake Biomass.

Authors:  Mengna Liao; Ge Yu; Ya Guo
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

Review 3.  The pros and cons of ecological risk assessment based on data from different levels of biological organization.

Authors:  Jason R Rohr; Christopher J Salice; Roger M Nisbet
Journal:  Crit Rev Toxicol       Date:  2016-06-24       Impact factor: 6.184

4.  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

  4 in total

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