Coral Health Map

Despite the coral biology field growing ever larger, we still have a poor handle on where Earth’s least and most resilient coral reefs are. We normally stumble upon these by accident. Given the low percentage of reefs that have even been surveyed, we need a faster way to identify resilient reefs, one that will yield health-informing data on a timescale that permits management intervention (“coral rescue”). We can’t sample every coral and survey every reef, so I’ve turned to modeling to address this issue.

AGRRA Caribbean Reef Health
584 bleaching/SCTLD sites · 1187 benthic+fish sites · 15 countries · 2007–2026
Reef health layers (AGRRA)
Thermal stress (NOAA CRW)
Live global rasters from NOAA Coral Reef Watch (5 km, v3.1, updated daily). Pick whichever view you want — turn one on at a time, or stack both.
Loading global raster from NOAA Coral Reef Watch…
Reference layers (TNC)
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Data sources. AGRRA reef-health dots: Detailed Coral Health Survey (bleaching + SCTLD, 2017–2026) and BaseBySite (coral cover + fish biomass, 2007–2022); the two AGRRA sources cover overlapping but distinct site visits, so the dot pairs don't align perfectly. TNC reference layers: Insular Caribbean Protected Areas (2025), Coral Reef Extent (2021, raster), CoralCarib Project (2025), Coral Refugia inputs binned to 28 km cells with a computed score. Thermal stress: NOAA Coral Reef Watch 5 km global daily PNGs (v3.1) — Bleaching Alert Area (7-day max) and Degree Heating Weeks. Pulled from NOAA's `_current` symlink at page load, so the colors always reflect today's NOAA product without any rebuild on our end.

Related, not shown. For Mesoamerican Reef sub-regional report cards and trends (Mexico/Belize/Guatemala/Honduras), see the Healthy Reefs Initiative. For Australian reef monitoring see AIMS LTMP.
Built 2026-04-27

Caitlin Seaview Survey data

“Atlas” or “Map?” Not sure which sounds sexier.

Over the years, I have been amassing a massive dataset that features abiotic (namely seawater quality), ecological (namely benthic & fish biomass data), and physiological data from framework-building scleractinians at diverse locations in the Caribbean, Atlantic Ocean, Indo-Pacific, Indian Ocean, and the Middle East. A portion of these data have been submitted to the Global Coral Reef Monitoring Network (GCRMN), including coral cover and bleaching data from Saudi Arabia (Red Sea), Egypt (Red Sea), Kenya (Western Indian Ocean), and the Sultanate of Oman (Gulf of Oman) in 2024.

The idea is basically to integrate data across biological and oceanographic skills to build predictive models that will demarcate 1) current coral stress loads and 2) future resilience to climate change and other stressors. As such, this project is tightly linked with many others listed to the left, namely the “machine learning & coral health project,” which is currently focused more on the physiological responses of the corals themselves but will later be expanded to incorporate abiotic and ecological parameters. These models will tell us WHERE-with respect to geographic location and speaking to the preferred environmental conditions- the most stress-sensitive corals will be found, as where we are likely to uncover those resilient ones that might make the most sense to use in restoration initiatives.

This work involves a close collaboration with the Khaled bin Sultan Living Oceans Foundation, who has developed the current best (most detailed & comprehensive) map of a large number of the planet’s coral reefs. I also have long been a fan of Atlantic Gulf Rapid Reef Assessment (AGRRA) and especially their data dashboards, whose data I show above.

Dr. Coral 🪸
Your Coral Reef Research Assistant
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🪸 Hello! I'm Dr. Coral. I can help you with: 📚 Research questions (31,000+ scientific papers) 🌍 Finding photos and data from coral reefs from across the globe 📎 Analyzing documents or images you upload What would you like to know?