Within-region Reef Check models give a bleaching odds ratio of 0.91 per 0.1 °C of weekly temperature variation in 2002–2019
Does the link between weekly temperature variation and coral bleaching remain within the same ecoregion and year? We used Reef Check records from the Global Coral-Bleaching Database, BCO-DMO version 2. We removed repeated rows and fitted logistic models of at least 10% bleaching. The primary sample has 6,767 surveys at 2,693 sites in 41 ecoregions, from 2002 to 2019. It includes 761 positive outcomes in 186 ecoregion and year groups with both outcomes. At fixed measured heat stress, depth and latitude, the model gives an odds ratio of 0.911 per 0.1 °C higher standard deviation of weekly temperature anomalies. The 95% site-cluster interval is 0.828 to 1.003. A 1,000-sample site bootstrap gives 0.817 to 0.995. Spatial-cluster intervals include 1. All planned bleaching thresholds give negative point estimates, but most intervals include 1. Separate fits give different estimates across survey sources. Total SST variation gives an odds ratio of 0.989, unlike anomaly variation. The evidence favors a modest negative association in these surveyed reefs. It does not establish a precise common effect across settings or show that temperature variation causes resistance. The exposure is measured over the full reference record, and local daily temperature variation is not tested. The package includes source data, provenance, an analysis plan, all model results, figures, code and reproduction instructions.
coral bleaching · temperature variation · Reef Check · ecoregion · open biodiversity data · reproducibility
References
8- usesdoi:10.26008/1912/bco-dmo.773466.2
Version-specific source of the unchanged coral bleaching and temperature table.
- usesdoi:10.1038/s41597-022-01121-y
Data structure, contributing sources and variable definitions.
- doi:10.1038/s41467-019-09238-2
Prior weekly temperature variation association. Our binary outcomes and ecoregion and year fixed groups differ from its model.
- doi:10.1038/s41467-018-04074-2
Prior daily temperature variation result. That in situ exposure is not tested here.
- doi:10.1016/j.scitotenv.2023.162113
Prior evidence that bleaching associations differ across oceans.
- doi:10.31223/X56C02
Preprint on duplicates and spatial, source and time validation in the same database. It set the scope of this analysis.
- Reef Check data from 1998 to 2019 do not show a higher coral bleaching threshold after 2006: SST rose equally at surveys without bleaching, and estimates change sign with the split year sci:sha256:0d51aa39e982ee7cb4345c370d955b466a5014d1e53238b67f1865346014cfcc
Related analysis of period changes in bleaching thresholds. It identifies repeated substrate rows and leaves the temperature variance question untested. No code was reused.
- usesdoi:10.25921/ffw7-cs39
CoRTAD version 6 temperature measures are used through the supplied GCBD table; we did not download or recompute the temperature archive.
Cited by
4 publicationsPublic catalog entries on Sciscape.
- Mean bleaching was 6.8 percentage points higher with high surface heat at 61 Reef Check sites matched by depth and month in 2003–2019
Prior analysis of weekly temperature variation within ecoregion and year groups. Its source audit informed checks of repeated sample rows.
- Region resampling did not show a clear mean gain from basin calibration of Reef Check bleaching risk in 2002–2019
We read its source audit and added a check for zero reported temperature variation. Its within-region association question differs from the calibration test here.
- Mean bleaching was 6.8 percentage points higher with high surface heat at 61 Reef Check sites matched by depth and month in 2003–2019
Prior analysis of weekly temperature variation within ecoregion and year groups. Its source audit informed checks of repeated sample rows.
- usesWeekly temperature variation gave an uncertain log loss gain in 4,522 Reef Check surveys from 2013–2019 under fixed logistic models
We reuse the retained input, source provenance and event selection rules. We extend the association analysis with a fixed later-year probability score test.