Comparison of aquatic system models using outdoor mesocosm data for ecological risk assessment, part I: methodology

Mesocosm studies are conducted in the context of higher-tier ecological risk assessments (ERAs) to integrate environmental conditions and study species interactions within waterbodies in agricultural landscapes. Aquatic system models (ASMs) could provide tools to extrapolate the dynamics and effects of chemicals observed in mesocosm studies to a wider range of environmental conditions and exposure scenarios. In this paper, we present the methodology of a ring study with four ASMs (Aquatox, CASM, StoLaM+, Streambugs) applied to data from mesocosm studies, while the results of the ring study are presented in a companion paper published alongside this manuscript. The ring study aimed to test the feasibility and capability of ASMs to represent mesocosm data and to evaluate if such models can be used as an extension of mesocosm experiments in ERAs. The ring study methodology allowed for model comparison and identified models' strengths and limitations in representing the ecosystem dynamics in control and treated mesocosm studies. Groups of species were defined to map the diversity of the mesocosm ecosystem in the taxa represented by the models, and a consensus trophic web was agreed upon to ensure harmonization among the models. Control and effect calibration criteria were developed to evaluate and compare model performances for each species group, explicitly considering the variability in mesocosm data. Our proposed methodologies and the challenges in using mesocosm data to inform modeling approaches are discussed. Finally, we derived recommendations for future research to facilitate the development of models representing mesocosms to support ERAs.

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Publication Details

Journal
Integrated Environmental Assessment and Management
Published
2025-09-01
DOI
https://doi.org/10.1093/inteam/vjaf121
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparison of aquatic system models using outdoor mesocosm data for ecological risk assessment, part I: methodology

Klaus Peter Ebke, Cheryl B. Schultz, Roman Ashauer, Nele Schuwirth et al.
Integrated Environmental Assessment and Management
Fish Ecology and Management Studies
article

Comparison of aquatic system models using outdoor mesocosm data for ecological risk assessment, part I: methodology

Klaus Peter Ebke, Cheryl B. Schultz, Roman Ashauer, Nele Schuwirth, Analise Lindborg, Nika Galić, Tido Strauß, Amélie Schmolke, Chiara Accolla, Damian V. Preziosi, Isabel A. O’Connor, Daniel E. Dawson, Ann-Kathrin Loerracher, Jana Gerhard, Brandon Sackmann, Jürgen Schmidt, Robert A. Pastorok, Steven M. Bartell
article en

Abstract

Mesocosm studies are conducted in the context of higher-tier ecological risk assessments (ERAs) to integrate environmental conditions and study species interactions within waterbodies in agricultural landscapes. Aquatic system models (ASMs) could provide tools to extrapolate the dynamics and effects of chemicals observed in mesocosm studies to a wider range of environmental conditions and exposure scenarios. In this paper, we present the methodology of a ring study with four ASMs (Aquatox, CASM, StoLaM+, Streambugs) applied to data from mesocosm studies, while the results of the ring study are presented in a companion paper published alongside this manuscript. The ring study aimed to test the feasibility and capability of ASMs to represent mesocosm data and to evaluate if such models can be used as an extension of mesocosm experiments in ERAs. The ring study methodology allowed for model comparison and identified models' strengths and limitations in representing the ecosystem dynamics in control and treated mesocosm studies. Groups of species were defined to map the diversity of the mesocosm ecosystem in the taxa represented by the models, and a consensus trophic web was agreed upon to ensure harmonization among the models. Control and effect calibration criteria were developed to evaluate and compare model performances for each species group, explicitly considering the variability in mesocosm data. Our proposed methodologies and the challenges in using mesocosm data to inform modeling approaches are discussed. Finally, we derived recommendations for future research to facilitate the development of models representing mesocosms to support ERAs.

Integrated Environmental Assessment and Management
Washington Department of Natural Resources (US), Ernst Basler + Partner (Switzerland) (CH), Stantec (United States) (US), Hosokawa Micron (Japan) (JP), Center for Assessment (US), Waterborne Environmental (United States) (US), Environmental Energy & Engineering (US), Integral Consulting (United States) (US), University of York (GB), Stantec (Canada) (CA), Seattle University (US), Swiss Federal Institute of Aquatic Science and Technology (CH), Syngenta (Switzerland) (CH)
Openalex Percentile: Top 77%
Fish Ecology and Management Studies
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