- Oceania-Pacific 2026
- Chapter 1
Oceania-Pacific’s risk is set by ocean, coast and distance
Part I describes systems and their couplings. It assesses no authority and ranks no member country.
Contents
- ·Edition home
- ·Executive summary
- 1Oceania-Pacific’s risk is set by ocean, coast and distance
- 2Key findings
- 3Systems and sectors at baseline
- 4Risks and capability
- 5Cyclone and marine-heatwave season across the Coral Sea and nearby island coasts
- 6Readings from the other desks
- 7The 2027 agenda
- 8Systems in depth
- AMethodology
- BData appendix
- CReferences and record
- ·Complete edition, for print
1.1The questions this part answers
Key questions
- Where is Oceania-Pacific’s risk concentrated, and in which systems?
- Which couplings carry shocks across member borders?
- Which capabilities hold under compound stress, and which are only documented?
- What must the 2027 programme measure first?
In this part
- Narrative
- Headline finding
- Lead figure
- Member system cards
- Shared basins and grids
- Hub list
- Regional pathway
- Twelve-domain reading
- Sector screens
- Dependency matrix
- Risk objects
- Capability ladder
- Scenario
- Three lenses
- Portfolio
1.2The argument
Australia had 27.92 million residents at 31 March 2026, up 1.4% in a year1. The World Bank gives 10.58 million for Papua New Guinea, 0.93 million for Fiji and 2.72 million for the Pacific island small states in 20247. This baseline reads Oceania-Pacific as a region whose one registry member sits among many small and dispersed island states, so that the ocean, the coast and distance shape how a shock travels.
The forcing layer is visible in the WMO record. 2024 was the warmest year on record in the South-West Pacific, about 0.48 °C above the 1991–2020 average, and marine heatwaves covered about 40 million km²18. More than half of the people of the Pacific islands live within 500 m of the coast, and at least 50,000 Pacific islanders a year face displacement risk from climate change18.
The energy layer shows the widest spread. Wind and solar supplied 33% of Australian electricity in 2025 and fossil fuels 61%28. In 2023 electricity access was 100% in Australia, 99.3% in Fiji, 88.9% in the Pacific island small states and 20.5% in Papua New Guinea14.
The food and health layers follow the same spread. In 2023, 29.7% of people in Papua New Guinea were undernourished, against 2.5% in Australia13. Life expectancy in 2023 was 83.1 years in Australia, 67.3 in Fiji and 66.1 in Papua New Guinea12. The World Health Organization reports about 12 million deaths from noncommunicable disease in its Western Pacific Region in 2019, a wider region than this one26.
The water layer is a contrast of volume and access. Australia consumed 17,223 GL in 2023–24, and agriculture, forestry and fishing used 68.3% of it4. Only Fiji has a safely managed drinking-water value in the World Bank series, at 41.9% in 202214.
This edition therefore reads Oceania-Pacific’s risk as a property of exposure and access, not of totals. The matrix, risk objects, capability ladder and scenario that follow ask two questions: where does a shock land first, and who holds the capability to stop it?
Access was 100% in Australia, 99.3% in Fiji, 88.9% in the Pacific island small states and 20.5% in Papua New Guinea in 202314. Generation mix in 2021 differs as widely: renewables were 26.7% of Australian electricity output, 60.1% in Fiji, 40.0% in Papua New Guinea and 42.6% in the Pacific island small states10. Australian wind and solar reached 33% in 2025 on a different source28.
| Item | Bar, scaled to the largest value | Value |
|---|---|---|
| Australia | 100 | |
| Fiji | 99.3 | |
| Pacific island small states | 88.9 | |
| Papua New Guinea | 20.5 |
Source: as cited in the note to this figure. Year 2023.
Figure ID FIG-REGIONAL-OCP-2026-BASELINE-01-003
1.3Twenty couplings between five systems
The Oceania-Pacific matrix types the twenty couplings between the five core systems. Strengths are Nexus estimates from the cited evidence and analogue events; they set the starting graph that the Q1 2027 Foundry cut will test.
Each line is one coupling from one system to another, drawn by the strength the edition assigns. Strengths are Nexus estimates from the cited evidence and analogue events.
- Strong
- Moderate
- Weak
Source: this edition’s coupling matrix (Table 1.1); status Estimated.
| From, to | WAT | ENE | FOO | HLT | BIO |
|---|---|---|---|---|---|
| WAT Water | · | STRONG hydro · thermal cooling | STRONG irrigation · rain-fed yield | STRONG safe water · sanitation | STRONG flows · wetlands |
| ENE Energy | MODERATE pumping · desalination | · | STRONG fuel · fertiliser · cold chain | STRONG air pollution · cooling | MODERATE land use · mining |
| FOO Food | STRONG ≈70% of withdrawals | WEAK bioenergy feedstock | · | STRONG nutrition · food safety | STRONG land conversion |
| HLT Health | WEAK workforce | WEAK workforce | MODERATE labour · disease | · | WEAK residues |
| BIO Biodiversity | STRONG regulation · filtration | MODERATE biomass · hydrology | STRONG pollination · soils | MODERATE zoonoses · medicines | · |
| Strength: strong, moderate or weak; a Nexus estimate (status Estimated) from cited evidence and analogue events. The scale is defined in Annex A. | |||||
Transmission paths
- 01
CLI → INF → FIN
Storm surge and flooding damage coastal assets and the loss falls on insurers, households and budgets.
Inferred coastal exposure18; loss series not bound
- 02
CLI → WAT → FOO
Drought, salt intrusion and cyclone damage cut water and crops.
Inferred no event bound
- 03
ENE → HLT
Thin power access limits cooling, cold chains and clinics.
Reported access 20.5% in Papua New Guinea14
- 04
CLI → HLT
Heat raises illness and loads health services.
Inferred national assessment24; no event bound
- 05
TRD → ENE → all
A fuel import disruption reaches power, transport and food on islands.
Inferred no event bound
1.4Reinforcing loops
A shock entering either system of a loop can return amplified through the other.
| Loop | First direction | Second direction |
|---|---|---|
| WAT and FOO | Water to food: irrigation · rain-fed yield | Food to water: ≈70% of withdrawals |
| WAT and BIO | Water to biodiversity: flows · wetlands | Biodiversity to water: regulation · filtration |
| FOO and BIO | Food to biodiversity: land conversion | Biodiversity to food: pollination · soils |
| A causal-loop reading of the matrix (Sterman, Business Dynamics, 2000): structural, from estimated strengths, not a measured feedback. | ||
Notes
Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references
- 1Australian Bureau of Statistics (ed.), National, state and territory population, March 2026 (released 17 September 2026; 27,921,150 residents, up 392,700 or 1.4%). ABS, Canberra. Observation year 2026. Accessed 2026-11-03.back
- 7DATA VINTAGE AFTER CLOSE: World Bank (ed.), World Development Indicators: population, total (SP.POP.TOTL), Australia, Fiji, New Zealand, Papua New Guinea and Pacific island small states (source updated 2026-10-08). World Bank, Washington DC. Observation year 2024. Accessed 2026-11-03.back
- 18World Meteorological Organization (ed.), Ocean heat and sea-level rise threaten communities in the South-West Pacific (news release on the 2024 report; 0.48 °C above 1991–2020, about 40 million km² of marine heatwaves, more than half of Pacific islanders within 500 m of the coast, at least 50,000 islanders a year at displacement risk). WMO, Geneva, June 2025. Observation year 2024. Accessed 2026-11-03.back
- 28DATA VINTAGE AFTER CLOSE: Ember (ed.), Australia electricity profile (page last updated 30 October 2026; 2025: wind and solar 33%, clean 39%, fossil 61%, coal 43%; no 2024 value and no TWh on the page). Ember, London. Observation year 2025. Accessed 2026-11-03.back
- 14World Bank (ed.), World Development Indicators: access to electricity (EG.ELC.ACCS.ZS, 2023) and people using safely managed drinking water services (SH.H2O.SMDW.ZS, 2022; value returned for Fiji only), Australia, Fiji, Papua New Guinea and Pacific island small states. World Bank, Washington DC. Observation year 2023. Accessed 2026-11-03.back
- 13World Bank (ed.), World Development Indicators: prevalence of undernourishment (SN.ITK.DEFC.ZS), Australia, Fiji, Papua New Guinea and Pacific island small states; upstream FAO. World Bank, Washington DC. Observation year 2023. Accessed 2026-11-03.back
- 12World Bank (ed.), World Development Indicators: life expectancy at birth, total (SP.DYN.LE00.IN), Australia, Fiji, Papua New Guinea and Pacific island small states. World Bank, Washington DC. Observation year 2023. Accessed 2026-11-03.back
- 26World Health Organization Regional Office for the Western Pacific (ed.), Noncommunicable diseases (topic page; about 12 million deaths from noncommunicable diseases in the Western Pacific Region in 2019; Pacific Islands–WHO Multi-country Cooperation Strategy 2024–2029). WHO, Manila. Observation year 2019. Accessed 2026-11-03.back
- 4Australian Bureau of Statistics (ed.), Water Account, Australia, 2023–24 (released 11 December 2025). ABS, Canberra. Observation year 2024. Accessed 2026-11-03.back
- 10World Bank (ed.), World Development Indicators: renewable electricity output and electricity production from fossil sources (EG.ELC.RNEW.ZS, EG.ELC.FOSL.ZS), Australia, Fiji, Papua New Guinea and Pacific island small states; no value after 2021. World Bank, Washington DC. Observation year 2021. Accessed 2026-11-03.back
- 24Clayton Utz (ed.), Australia’s first National Climate Risk Assessment Report and National Adaptation Plan (law firm briefing, October 2025; secondary summary of the Australian Government documents; the page and other reports give different release dates). Clayton Utz, Sydney. Observation year 2025. Accessed 2026-11-03.back