Integrating climate model projections into environmental risk assessment: A probabilistic modeling approach

Author:

Moe S. Jannicke1ORCID,Brix Kevin V.23ORCID,Landis Wayne G.4ORCID,Stauber Jenny L.56ORCID,Carriger John F.7ORCID,Hader John D.8ORCID,Kunimitsu Taro9ORCID,Mentzel Sophie1ORCID,Nathan Rory10ORCID,Noyes Pamela D.11ORCID,Oldenkamp Rik12ORCID,Rohr Jason R.13ORCID,van den Brink Paul J.14ORCID,Verheyen Julie15ORCID,Benestad Rasmus E.16ORCID

Affiliation:

1. Norwegian Institute for Water Research (NIVA) Oslo Norway

2. EcoTox LLC Miami Florida USA

3. RSMAES University of Miami Miami Florida USA

4. College of the Environment Western Washington University Bellingham Washington USA

5. CSIRO Environment, Lucas Heights Sydney NSW Australia

6. La Trobe University Wodonga Victoria Australia

7. Center for Environmental Solutions and Emergency Response, Office of Research and Development, USEPA, Land Remediation and Technology Division Cincinnati Ohio USA

8. Department of Environmental Science Stockholm University Stockholm Sweden

9. CICERO Center for International Climate Research Oslo Norway

10. Department of Infrastructure Engineering University of Melbourne Melbourne Victoria Australia

11. Center for Public Health and Environmental Assessment, Office of Research and Development, USEPA, Integrated Climate Sciences Division Washington DC USA

12. Chemistry for Environment and Health Vrije Universiteit Amsterdam Amsterdam The Netherlands

13. Department of Biological Sciences University of Notre Dame Notre Dame Indiana USA

14. Aquatic Ecology and Water Quality Management Group Wageningen University Wageningen The Netherlands

15. Laboratory of Evolutionary Stress Ecology and Ecotoxicology KU Leuven Belgium

16. The Norwegian Meteorological Institute Oslo Norway

Abstract

AbstractThe Society of Environmental Toxicology and Chemistry (SETAC) convened a Pellston workshop in 2022 to examine how information on climate change could be better incorporated into the ecological risk assessment (ERA) process for chemicals as well as other environmental stressors. A major impetus for this workshop is that climate change can affect components of ecological risks in multiple direct and indirect ways, including the use patterns and environmental exposure pathways of chemical stressors such as pesticides, the toxicity of chemicals in receiving environments, and the vulnerability of species of concern related to habitat quality and use. This article explores a modeling approach for integrating climate model projections into the assessment of near‐ and long‐term ecological risks, developed in collaboration with climate scientists. State‐of‐the‐art global climate modeling and downscaling techniques may enable climate projections at scales appropriate for the study area. It is, however, also important to realize the limitations of individual global climate models and make use of climate model ensembles represented by statistical properties. Here, we present a probabilistic modeling approach aiming to combine projected climatic variables as well as the associated uncertainties from climate model ensembles in conjunction with ERA pathways. We draw upon three examples of ERA that utilized Bayesian networks for this purpose and that also represent methodological advancements for better prediction of future risks to ecosystems. We envision that the modeling approach developed from this international collaboration will contribute to better assessment and management of risks from chemical stressors in a changing climate. Integr Environ Assess Manag 2024;00:1–17. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Funder

National Science Foundation

Publisher

Wiley

Subject

General Environmental Science,General Medicine,Geography, Planning and Development

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