A comparative study of the modeled effects of atrazine on aquatic plant communities in midwestern streams

Potential effects of atrazine on the nontarget aquatic plants characteristic of lower-order streams in the Midwestern United States were previously assessed using the Comprehensive Aquatic System Model (CASMATZ ). Another similar bioenergetics-based, mechanistic model, AQUATOX, was examined in the present study, with 3 objectives: 1) to develop an AQUATOX model simulation similar to the CASMATZ model reference simulation in describing temporal patterns of biomass production by modeled plant populations, 2) to examine the implications of the different approaches used by the models in deriving plant community-based levels of concern (LOCs) for atrazine, and 3) to determine the feasibility of implementing alternative ecological models to assess ecological impacts of atrazine on lower-order Midwestern streams. The results of the present comparative modeling study demonstrated that a similar reference simulation to that from the CASMATZ model could be developed using the AQUATOX model. It was also determined that development of LOCs and identification of streams with exposures in excess of the LOCs were feasible with the AQUATOX model. Compared with the CASMATZ model results, however, the AQUATOX model consistently produced higher estimates of LOCs and generated non-monotonic variations of atrazine effects with increasing exposures. The results of the present study suggest an opportunity for harmonizing the treatments of toxicity and toxicity parameter estimation in the CASMATZ and the AQUATOX models. Both models appear useful in characterizing the potential impacts of atrazine on nontarget aquatic plant populations in lower-order Midwestern streams. The present model comparison also suggests that, with appropriate parameterization, these process-based models can be used to assess the potential effects of other xenobiotics on stream ecosystems.

[1]  Tom Aldenberg,et al.  A food web model for fate and direct and indirect effects of Dursban® 4E (active ingredient chlorpyrifos) in freshwater microcosms , 1998, Aquatic Ecology.

[2]  Tom Aldenberg,et al.  Modeling and Risk Assessment of Tributyltin Accumulation in the Food Web of a Shallow Freshwater Lake , 1996 .

[3]  R. R. Horner,et al.  Nuisance biomass levels of periphytic algae in streams , 2004, Hydrobiologia.

[4]  D. DeAngelis,et al.  Effects of Nutrient Recycling and Food-Chain Length on Resilience , 1989, The American Naturalist.

[5]  T. Bergfeld,et al.  Model-based analysis of oxygen budget and biological processes in the regulated rivers Moselle and Saar: modelling the influence of benthic filter feeders on phytoplankton , 1999, Hydrobiologia.

[6]  Steven M Bartell,et al.  Modeling the potential effects of atrazine on aquatic communities in midwestern streams , 2013, Environmental toxicology and chemistry.

[7]  C. Reynolds The Ecology of Phytoplankton , 2006 .

[8]  K. Thornton,et al.  A Temperature Algorithm for Modifying Biological Rates , 1978 .

[9]  Steven C. Chapra,et al.  QUAL2K: A Modeling Framework for Simulating River and Stream Water Quality , 2004 .

[10]  Basil Acock,et al.  Modularity and genericness in plant and ecosystem models , 1997 .

[11]  James J. Fitzpatrick,et al.  Water Quality Analysis Simulation Program (WASP) , 1900 .

[12]  Shyam K. Nair,et al.  Characterizing aquatic ecological risks from pesticides using a diquat dibromide case study III. Ecological process models , 2000 .

[13]  Blair D. Siegfried,et al.  Uptake and bioconcentration of atrazine by selected freshwater algae , 1998 .

[14]  S. Bartell,et al.  An ecosystem model for assessing ecological risks in Québec rivers, lakes, and reservoirs , 1999 .

[15]  Christophe Rabouille,et al.  Primary production in headwater streams of the Seine basin: the Grand Morin river case study. , 2007, The Science of the total environment.

[16]  Scott Ferson,et al.  Ecological modeling in risk assessment : chemical effects on populations, ecosystems, and landscapes , 2001 .

[17]  J. M. Andrus,et al.  Spatial and temporal variation of algal assemblages in six Midwest agricultural streams having varying levels of atrazine and other physicochemical attributes. , 2015, The Science of the total environment.

[18]  J. M. Andrus,et al.  Seasonal synchronicity of algal assemblages in three Midwestern agricultural streams having varying concentrations of atrazine, nutrients, and sediment. , 2013, The Science of the total environment.

[19]  Wataru Naito,et al.  Application of an ecosystem model for aquatic ecological risk assessment of chemicals for a Japanese lake. , 2002, Water research.

[20]  H. Blanck,et al.  Atrazine uptake, elimination, and bioconcentration by periphyton communities and Daphnia magna: Effects of dissolved organic carbon , 2001, Environmental toxicology and chemistry.

[21]  H. Maccrimmon,et al.  Assessing Changes in Biomass of Riverbed Periphyton , 1978 .

[22]  F. Schöll,et al.  Modelling the Chlorophyll a Content of the River Rhine - Interrelation between Riverine Algal Production and Population Biomass of Grazers, Rotifers and the Zebra Mussel, Dreissena polymorpha , 2002 .

[23]  S. Bartell A framework for estimating ecological risks posed by nutrients and trace elements in the Patuxent River , 2003 .

[24]  Wataru Naito,et al.  Evaluation of an ecosystem model in ecological risk assessment of chemicals. , 2003, Chemosphere.