Comparison of aquatic system models using outdoor mesocosm data for ecological risk assessment, part II: results and outlooks
Integrated Environmental Assessment and Management, vol. 22, pp. 932–944
Abstract
Mechanistic effect models are important research and decision-support tools in ecology and ecological risk assessment (ERA). A way to foster model utilization and increase confidence in their results in ERA is to compare different models developed to represent the same experimental system. Here, we present the results of such a ring study conducted to examine the feasibility and capability of four aquatic system models (ASMs) to represent mesocosm data and evaluate whether such models could be used as an extension of mesocosm experiments in support of ERA. The ring study methodology is described in a companion article published alongside this article. The four models we tested were AQUATOX, CASM, StoLaM+, and Streambugs. These ASMs were calibrated to represent the biological communities in mesocosms with (treatment) and without (control) the application of azoxystrobin. Mesocosm data were also available to perform model control and treatment validation. We show that the models, especially two of them, performed very well in reproducing the control dynamics according to the calibration criteria we set up, and the control validation simulations confirmed those scores. Models also reproduced the more evident effects (including indirect ones). We could identify similarities among the models' challenges, crucial data needs, and common knowledge gaps about mesocosm communities. The ring study also highlighted some weaknesses in the defined model performance criteria, which did not account for model differences and resulted in favoring some models over others. Despite the detailed model comparison, we could not quantify to what extent different performances were due to model structures, implemented processes, or calibration techniques. This ring study established a basis for adjusting models to mesocosm studies and proposed possible solutions towards advancing capabilities in using ASMs to inform ERA.
Authors 17
-
Chiara Accolla corresponding
Waterborne Environmental (United States)
Affiliation as printed
Waterborne Environmental, Inc. , Leesburg, VA,
-
Affiliation as printed
RIFCON GmbH , Hirschberg,
-
Affiliation as printed
Syngenta Crop Protection AG , Basel,
-
Affiliation as printed
Stantec, Inc ., Greenback, TN,
-
Integral Consulting (United States)
Affiliation as printed
Integral Consulting Inc ., Berlin, MD,
Integral Consulting Inc ., Seattle, WA,
-
Affiliation as printed
Institut für Gewässerschutz Mesocosm GmbH , Homberg (Ohm),
-
Affiliation as printed
Research Institute for Ecosystem Analysis and Assessment (gaiac) , Aachen,
-
Integral Consulting (United States)
Affiliation as printed
Integral Consulting Inc ., Berlin, MD,
Integral Consulting Inc ., Seattle, WA,
-
Affiliation as printed
Institut für Gewässerschutz Mesocosm GmbH , Homberg (Ohm),
-
Ernst Basler + Partner (Switzerland)
Affiliation as printed
EBP Schweiz AG , Zürich,
-
Integral Consulting (United States)
Affiliation as printed
Integral Consulting Inc ., Berlin, MD,
Integral Consulting Inc ., Seattle, WA,
-
Integral Consulting (United States)
Affiliation as printed
Integral Consulting Inc ., Berlin, MD,
Integral Consulting Inc ., Seattle, WA,
-
Affiliation as printed
GSI Environmental Inc ., Olympia, WA,
-
Integral Consulting (United States)
Affiliation as printed
Integral Consulting Inc ., Berlin, MD,
Integral Consulting Inc ., Seattle, WA,
-
Swiss Federal Institute of Aquatic Science and Technology
Affiliation as printed
Eawag: Swiss Federal Institute of Aquatic Science and Technology , Dübendorf,
-
Affiliation as printed
Research Institute for Ecosystem Analysis and Assessment (gaiac) , Aachen,
-
University of York · Syngenta (Switzerland)
Affiliation as printed
Department of Environment and Geography, University of York , York,
Syngenta Crop Protection AG , Basel,
Cited by 0 stored of 0
No patents citing this paper on Lens.org (checked 2026-10-06).