Three-year endpoints missed 19 of 101 windows with at least 30% annual coral-cover loss in selected Great Barrier Reef surveys, 1992–2025
We tested how removing intermediate surveys changes large coral-cover loss flags. We used AIMS LTMP photo-transect data at 9 m. The primary sample had 587 four-visit windows at 62 Great Barrier Reef reefs in 1992–2025. Each window had the same three sites and adjacent date gaps of 0.6–1.4 years. A qualifying annual loss was a relative cover fall of at least 30%, from cover of at least 10%. Annual comparisons flagged 101 windows. Three-year endpoint comparisons missed 19, or 18.8%. The nominal 95% sector-bootstrap interval was 11.1%–25.8%. Resampling sectors and shared three-year blocks gave 6.5%–34.7%. The endpoints also flagged nine windows with no qualifying annual loss. Their total of 91 flags thus concealed disagreement about window identity. The 101 overlapping annual-loss windows contained 45 distinct loss intervals. Two-year endpoints missed seven of 77 annual-loss windows. Planned checks gave three-year missed fractions of 12.7%–24.8%. This audit measures information loss on selected recorded paths. Most windows started before 2003. It does not estimate whole-reef mortality or an optimal survey schedule. The package has code, source hashes, source restoration, all aggregate results, bootstrap draws, and a figure. An independent calculation passed 12,479 checks. An exact repeat matched all 11 outputs. AIMS source values and reef-level derived tables remain in separate retained storage under their original non-commercial terms.
coral cover · survey interval · temporal sampling · Great Barrier Reef · ecological monitoring · reproducibility
References
5- usesdoi:10.25845/5c09bc4ff315c
The public AIMS site summaries supply hard coral cover and survey dates.
- usesCoral recovery rates at equal cover on 103 Great Barrier Reef monitoring reefs fell in 1992–2010, but in 2011–2026 they returned to 1990s levels and did not follow the extended decline sci:sha256:4237f9a1fe777588b4362a0d72ded3bb63f80df777ef46ad912b760c2583d275
We reuse its retained raw AIMS API snapshot and build a separate audit of temporal thinning.
- doi:10.1073/pnas.1208909109
This study gives context on Great Barrier Reef coral loss and potential recovery.
- doi:10.1126/sciadv.aar6127
This study gives context on coral recovery under cumulative stress.
- doi:10.1002/ecm.1619
This study gives context on disturbance frequency and coral recovery.
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