An ecosystem model for assessing ecological risks in Québec rivers, lakes, and reservoirs

Bartell, Steven M.; Lefèbvre, Guy; Kaminski, Grégoire; Carreau, Michel; Campbell, Kym Rouse

doi:10.1016/s0304-3800(99)00155-6

Cited by 111 publications

(38 citation statements)

References 49 publications

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“…The modeled biological species are typically found in the Songhua River aquatic ecosystem, consisting of three phytoplankton populations, one macrophyte, two zooplankton populations, one benthic insect population, (Grimaldi and Leduc, 1973;Chambers and Kalff, 1985;Lacasse and Magnan, 1992;Tang and Peters, 1995;Bartell et al, 1999;USEPA, 2004aUSEPA, , 2004bUSEPA, , 2004c. The initial biomass of the modeled organisms was obtained from history, observed data or approximately estimated through history records (Ren, 1981;Songliao Water Conservancy Committee, 1994).…”

Section: Biomass and Physiological Parameters Of Organismsmentioning

confidence: 99%

“…An ecological model, which can be defined as a simplified representation of a specific ecological system, may be the only option for assessing chemical effects under circumstances where field experiments cannot be conducted (Ang et al, 2001). Some reviews concerning the use of ecological models in ecological risk assessment have been published (Bartell et al, 1999;Ray et al, 2001;Kumblad et al, 2003;Chow et al, 2005;Larocque et al, 2006). Among these models, AQUATOX, developed by Park et al (2008), is one of the relatively few comprehensive models that have been designed specifically for environmental behaviors and the ecological impact assessment of pollutants.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model

Lei

Huang

Qiao

et al. 2008

Journal of Environmental Sciences

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Section: Biomass and Physiological Parameters Of Organismsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model

Lei

Huang

Qiao

et al. 2008

Journal of Environmental Sciences

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“…Only the complex food web (i.e. ecosystem) models of river ecosystems include multiple species of flora and fauna [29,30], but these remain difficult to parameterise [31].…”

Section: Introductionmentioning

confidence: 99%

Modelling Primary Producer Interaction and Composition: an Example of a UK Lowland River

Lázár

Wade

Moss

2015

Environ Model Assess

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Nutrient enrichment and drought conditions are major threats to lowland rivers causing ecosystem degradation and composition changes in plant communities. The controls on primary producer composition in chalk rivers are investigated using a new model and existing data from the River Frome (UK) to explore abiotic and biotic interactions. The growth and interaction of four primary producer functional groups (suspended algae, macrophytes, epiphytes, sediment biofilm) were successfully linked with flow, nutrients (N, P), light and water temperature such that the modelled biomass dynamics of the four groups matched that of the observed. Simulated growth of suspended algae was limited mainly by the residence time of the river rather than in-stream phosphorus concentrations. The simulated growth of the fixed vegetation (macrophytes, epiphytes, sediment biofilm) was overwhelmingly controlled by incoming solar radiation and light attenuation in the water column. Nutrients and grazing have little control when compared to the other physical controls in the simulations. A number of environmental threshold values were identified in the model simulations for the different producer types. The simulation results highlighted the importance of the pelagic-benthic interactions within the River Frome and indicated that process interaction defined the behaviour of the primary producers, rather than a single, dominant driver. The model simulations pose interesting questions to be considered in the next iteration of field-and laboratorybased studies.

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“…An ecological model, which can be defined as a simplified representation of a specific ecological system, may be the only option for assessing chemical effects under circumstances where field experiments cannot be conducted [5]. Some reviews concerning the use of ecological models in ecological risk assessment have been published [6][7][8][9][10]. Among these models, AQUATOX, developed by Park et al [11], is one of the relatively few comprehensive models that have been designed specifically for environmental behaviors and the ecological impact assessment of pollutants.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Physico-Chemical Interactions of Vimtim Stream Water Quality using the Aquatox Model

Anyadike¹

2013

IOSRJEN

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-Hydrological and chemical data of water bodies are very scarce and the available ones are sparse in Nigeria compared to other developed countries. AQUATOX model was used in this study to simulate physicochemical interactions of water quality parameters in Vimtim stream, Mubi, Adamawa State, Nigeria. Three months data were input into AQUATOX model for its calibration after which the model was applied for an extended period of one year. The model was used to predict the behavior and interactions of some biotic and abiotic variables. The model output result agreed with observed result, which stated that the water quality parameters monitored were within the acceptable standard. However the one year model prediction recorded a reduction in catfish production

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An ecosystem model for assessing ecological risks in Québec rivers, lakes, and reservoirs

Cited by 111 publications

References 49 publications

Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model

Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model

Modelling Primary Producer Interaction and Composition: an Example of a UK Lowland River

Prediction of the Physico-Chemical Interactions of Vimtim Stream Water Quality using the Aquatox Model

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