Evidence map›Paper›PMID 38018499›Full record

ArticleIntegrated environmental assessment and management2024

Evaluating the effects of climate change and chemical, physical, and biological stressors on nearshore coral reefs: A case study in the Great Barrier Reef, Australia.

Sophie Mentzel, Rory Nathan, Pamela Noyes, Kevin V Brix, S Jannicke Moe, Jason R Rohr, Julie Verheyen, Paul J Van den Brink, Jennifer Stauber

Open access · bronzeAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

4 citing papers in PubMed, 22 citations in OpenAlex.

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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

9 authors at 8 institutions in 5 countries.

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.
Pamela NoyesCenter for Public Health and Environmental Assessment, Integrated Climate Sciences Division, Office of Research and Development, USEPA, Washington, District of Columbia, USA.
Kevin V BrixEcoTox, Miami, Florida, USA.
S Jannicke MoeNorwegian Institute for Water Research (NIVA), Oslo, Norway.ORCID https://orcid.org/0000-0002-3681-3551
Jason R RohrDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Julie VerheyenLaboratory of Evolutionary Stress Ecology and Ecotoxicology, KU Leuven, Belgium.
Paul J Van den BrinkAquatic Ecology and Water Quality Management Group, Wageningen University and Research, Wageningen, The Netherlands.
Jennifer StauberCSIRO Environment, Sydney, New South Wales, Australia.
Norwegian Institute for Water Research · NOCommonwealth Scientific and Industrial Research Organisation · AUEnvironmental Protection Agency · USEuropean Centre for Ecotoxicology and Toxicology of Chemicals · BEThe University of Melbourne · AUUniversity of Miami · USUniversity of Notre Dame · USWageningen University & Research · NL

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

An understanding of the combined effects of climate change (CC) and other anthropogenic stressors, such as chemical exposures, is essential for improving ecological risk assessments of vulnerable ecosystems. In the Great Barrier Reef, coral reefs are under increasingly severe duress from increasing ocean temperatures, acidification, and cyclone intensities associated with CC. In addition to these stressors, inshore reef systems, such as the Mackay-Whitsunday coastal zone, are being impacted by other anthropogenic stressors, including chemical, nutrient, and sediment exposures related to more intense rainfall events that increase the catchment runoff of contaminated waters. To illustrate an approach for incorporating CC into ecological risk assessment frameworks, we developed an adverse outcome pathway network to conceptually delineate the effects of climate variables and photosystem II herbicide (diuron) exposures on scleractinian corals. This informed the development of a Bayesian network (BN) to quantitatively compare the effects of historical (1975-2005) and future projected climate on inshore hard coral bleaching, mortality, and cover. This BN demonstrated how risk may be predicted for multiple physical and biological stressors, including temperature, ocean acidification, cyclones, sediments, macroalgae competition, and crown of thorns starfish predation, as well as chemical stressors such as nitrogen and herbicides. Climate scenarios included an ensemble of 16 downscaled models encompassing current and future conditions based on multiple emission scenarios for two 30-year periods. It was found that both climate-related and catchment-related stressors pose a risk to these inshore reef systems, with projected increases in coral bleaching and coral mortality under all future climate scenarios. This modeling exercise can support the identification of risk drivers for the prioritization of management interventions to build future resilient reefs. Integr Environ Assess Manag 2024;20:401-418. © 2023 Norwegian Institute for Water Research and The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Indexed as

AnthozoaCoral ReefsAnimalsAustraliaBayes TheoremClimate ChangeEcosystemHumansHydrogen-Ion ConcentrationSeawaterAdverse outcome pathwaysBayesian networkConceptual modelRisk assessment

Identifiers

PMID38018499
PMCPMC11046313
OpenAlexW4389142397

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.