Evidence map›Paper›PMID 42717218›Full record

ArticleScientific reports2026

Nationwide economic impacts of sea level rise and storm surge from global warming in Australia.

Tom Kompas, Tuong Nhu Che, R Quentin Grafton

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tom KompasCentre of Excellence for Biosecurity Risk Analysis and Centre for Environmental and Economic Research, School of Biosciences and School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, University of Melbourne, Melbourne, 3010, Australia. tom.kompas@unimelb.edu.au.
Tuong Nhu CheGlobal Environmental and Economic Modelling, Canberra, Australia.
R Quentin GraftonCrawford School of Public Policy, Australian National University, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Driven by global warming and thermal expansion of the oceans, ice loss from glaciers and ice sheets will continue to increase sea levels and the risk of storm-surge, threatening coastal regions worldwide. This study presents the first national-scale assessment of SLR/S impacts on land use and assets across Australia, covering 1,156 coastal sub-regions in six states and the Northern Territory under RCP4.5 and RCP8.5 scenarios. The analysis integrates physical and economic impacts across 10 aggregated land-use categories. By 2100, under RCP4.5, SLR/S is projected to affect 267.5 thousand properties and 2.0 million hectares (ha) of land, resulting in present-value damages of $855.1 billion, including $274.3 billion in property losses and $580.7 billion in land-use losses. Under RCP8.5, impacts increase to 719.6 thousand properties and 3.7 million ha, with total damages of $1,909 billion, comprising $705.7 billion in property losses and $1,203 billion in land-use losses. The results reveal substantial spatial heterogeneity in physical exposure and economic impacts across Australia. Average annual SLR/S damages are estimated to reduce national GDP by 1.05-1.39% under RCP4.5 and 2.26-3.0% under RCP8.5. These estimates are conservative, as they exclude additional losses to environmental assets, cultural heritage, and other infrastructure not captured in the assessment.

Indexed as

Digital elevation model (DEM)Geographic information system (GIS)Global warmingPhysical and economic damagesSea level rise and storm surge (SLR/S)SLR/S inundation hazard areas

Identifiers

PMID42717218
PMCPMC13558584

What OpenQuestion holds

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Registered trials

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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.