Evidence map›Paper›PMID 38084033›Full record

ArticleIntegrated environmental assessment and management2024

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

S Jannicke Moe, Kevin V Brix, Wayne G Landis, Jenny L Stauber, John F Carriger, John D Hader, Taro Kunimitsu, Sophie Mentzel, Rory Nathan, Pamela D Noyes and 5 more

Abstract read
In one paragraph

Article in Integrated environmental assessment and management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

S Jannicke MoeNorwegian Institute for Water Research (NIVA), Oslo, Norway.ORCID http://orcid.org/0000-0002-3681-3551
Kevin V BrixEcoTox LLC, Miami, Florida, USA.ORCID https://orcid.org/0000-0003-3127-7435
Wayne G LandisCollege of the Environment, Western Washington University, Bellingham, Washington, USA.ORCID https://orcid.org/0000-0001-9468-3532
Jenny L StauberCSIRO Environment, Lucas Heights, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-1231-3173
John F CarrigerCenter for Environmental Solutions and Emergency Response, Office of Research and Development, USEPA, Land Remediation and Technology Division, Cincinnati, Ohio, USA.ORCID http://orcid.org/0000-0002-6275-8752
John D HaderDepartment of Environmental Science, Stockholm University, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-1033-4499
Taro KunimitsuCICERO Center for International Climate Research, Oslo, Norway.ORCID http://orcid.org/0000-0003-0456-368X
Sophie MentzelNorwegian Institute for Water Research (NIVA), Oslo, Norway.ORCID http://orcid.org/0000-0001-7330-7474
Rory NathanDepartment of Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7759-8344
Pamela D NoyesCenter for Public Health and Environmental Assessment, Office of Research and Development, USEPA, Integrated Climate Sciences Division, Washington, DC, USA.ORCID https://orcid.org/0000-0003-1654-4056
Rik OldenkampChemistry for Environment and Health, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-2245-6987
Jason R RohrDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.ORCID https://orcid.org/0000-0001-8285-4912
Paul J van den BrinkAquatic Ecology and Water Quality Management Group, Wageningen University, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0002-7241-4347
Julie VerheyenLaboratory of Evolutionary Stress Ecology and Ecotoxicology, KU Leuven, Belgium.ORCID https://orcid.org/0000-0001-7496-5137
Rasmus E BenestadThe Norwegian Meteorological Institute, Oslo, Norway.ORCID https://orcid.org/0000-0002-5969-4508

Funding

HORIZON EUROPE Marie Sklodowska-Curie Actions 813124Intramural EPA EPA999999National Science Foundation DEB-2017785
6 · The paper itself

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).

Indexed as

Climate ModelsEcosystemBayes TheoremClimate ChangeEcotoxicologyRisk AssessmentBayesian networkClimate informationDownscalingExposure modelProbabilistic risk assessment

Identifiers

PMID38084033
PMCPMC11247537

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.