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Landis WG, Mitchell CJ, Hader JD, Nathan R, Sharpe EE. Incorporation of climate change into a multiple stressor risk assessment for the Chinook salmon (Oncorhynchus tshawytscha) population in the Yakima River, Washington, USA. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2024; 20:419-432. [PMID: 38062648 DOI: 10.1002/ieam.4878] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 11/06/2023] [Accepted: 11/14/2023] [Indexed: 02/09/2024]
Abstract
One outcome of the 2022 Society of Environmental Toxicology and Chemistry Pellston Workshop on incorporating climate change predictions into ecological risk assessments was the key question of how to integrate ecological risk assessments that focus on contaminants with the environmental alterations from climate projections. This article summarizes the results of integrating selected direct and indirect effects of climate change into an existing Bayesian network previously used for ecological risk assessment. The existing Bayesian Network Relative Risk Model integrated the effects of two organophosphate pesticides (malathion and diazinon), water temperature, and dissolved oxygen levels on the Chinook salmon population in the Yakima River Basin (YRB), Washington, USA. The endpoint was defined as the entity, Yakima River metapopulation, and the attribute was defined as no decline to a subpopulation or the overall metapopulation. In this manner, we addressed the management objective of no net loss of Chinook salmon, an iconic and protected species. Climate change-induced changes in water quality parameters (temperature and dissolved oxygen levels) used models based on projected climatic conditions in the 2050s and 2080s by the use of a probabilistic model. Pesticide concentrations in the original model were modified assuming different scenarios of pest control strategies in the future, because climate change may alter pest numbers and species. Our results predict that future direct and indirect changes to the YRB will result in a greater probability that the salmon population will continue to fail to meet the management objective of no net loss. As indicated by the sensitivity analysis, the key driver in salmon population risk was found to be current and future changes in temperature and dissolved oxygen, with pesticide concentrations being not as important. Integr Environ Assess Manag 2024;20:419-432. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
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Affiliation(s)
- Wayne G Landis
- Institute of Environmental Toxicology and Chemistry, Western Washington University, Bellingham, Washington, USA
| | | | - John D Hader
- Department of Environmental Science, Stockholm University, Stockholm, Sweden
| | - Rory Nathan
- Department of Infrastructure Engineering, University of Melbourne Faculty of Veterinary and Agricultural Sciences, Parkville, Victoria, Australia
| | - Emma E Sharpe
- Institute of Environmental Toxicology and Chemistry, Western Washington University, Bellingham, Washington, USA
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Moe SJ, Brix KV, Landis WG, Stauber JL, Carriger JF, Hader JD, Kunimitsu T, Mentzel S, Nathan R, Noyes PD, Oldenkamp R, Rohr JR, van den Brink PJ, Verheyen J, Benestad RE. Integrating climate model projections into environmental risk assessment: A probabilistic modeling approach. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2024; 20:367-383. [PMID: 38084033 DOI: 10.1002/ieam.4879] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 11/28/2023] [Accepted: 12/04/2023] [Indexed: 01/11/2024]
Abstract
The 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;20:367-383. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
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Affiliation(s)
- S Jannicke Moe
- Norwegian Institute for Water Research (NIVA), Oslo, Norway
| | - Kevin V Brix
- EcoTox LLC, Miami, Florida, USA
- RSMAES, University of Miami, Miami, Florida, USA
| | - Wayne G Landis
- College of the Environment, Western Washington University, Bellingham, Washington, USA
| | - Jenny L Stauber
- CSIRO Environment, Lucas Heights, Sydney, NSW, Australia
- La Trobe University, Wodonga, Victoria, Australia
| | - John F Carriger
- Center for Environmental Solutions and Emergency Response, Office of Research and Development, USEPA, Land Remediation and Technology Division, Cincinnati, Ohio, USA
| | - John D Hader
- Department of Environmental Science, Stockholm University, Stockholm, Sweden
| | - Taro Kunimitsu
- CICERO Center for International Climate Research, Oslo, Norway
| | - Sophie Mentzel
- Norwegian Institute for Water Research (NIVA), Oslo, Norway
| | - Rory Nathan
- Department of Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - Pamela D Noyes
- Center for Public Health and Environmental Assessment, Office of Research and Development, USEPA, Integrated Climate Sciences Division, Washington, DC, USA
| | - Rik Oldenkamp
- Chemistry for Environment and Health, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jason R Rohr
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA
| | - Paul J van den Brink
- Aquatic Ecology and Water Quality Management Group, Wageningen University, Wageningen, The Netherlands
| | - Julie Verheyen
- Laboratory of Evolutionary Stress Ecology and Ecotoxicology, KU Leuven, Belgium
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Stahl RG, Boxall ABA, Brix KV, Landis WG, Stauber JL, Moe SJ. Incorporating climate change model projections into ecological risk assessments to help inform risk management and adaptation strategies: Synthesis of a SETAC Pellston Workshop®. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2024; 20:359-366. [PMID: 38124219 DOI: 10.1002/ieam.4883] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 12/07/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
The impacts of global climate change are not yet well integrated with the estimates of the impacts of chemicals on the environment. This is evidenced by the lack of consideration in national or international reports that evaluate the impacts of climate change and chemicals on ecosystems and the relatively few peer-reviewed publications that have focused on this interaction. In response, a 2011 Pellston Workshop® was held on this issue and resulted in seven publications in Environmental Toxicology and Chemistry. Yet, these publications did not move the field toward climate change and chemicals as important factors together in research or policy-making. Here, we summarize the outcomes of a second Pellston Workshop® on this topic held in 2022 that included climate scientists, environmental toxicologists, chemists, and ecological risk assessors from 14 countries and various sectors. Participants were charged with assessing where climate models can be applied to evaluating potential exposure and ecological effects at geographical and temporal scales suitable for ecological risk assessment, and thereby be incorporated into adaptive risk management strategies. We highlight results from the workshop's five publications included in the special series "Incorporating Global Climate Change into Ecological Risk Assessments: Strategies, Methods and Examples." We end this summary with the overall conclusions and recommendations from participants. Integr Environ Assess Manag 2024;20:359-366. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
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Affiliation(s)
| | | | | | - Wayne G Landis
- Western Washington University, Bellingham, Washington, USA
| | - Jenny L Stauber
- CSIRO, Sydney, New South Wales, Australia
- La Trobe University, Wodonga, Victoria, Australia
| | - S Jannicke Moe
- Norwegian Institute for Water Research (NIVA), Oslo, Norway
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