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Benthic Images from Stratified Random Site (StRS) Surveys in the Main Hawaiian Islands from 2019-10-08 to 2019-11-14 During the 2019 Bleaching Event (NCEI Accession 0270550)

Published by NOAA National Centers for Environmental Information | National Oceanic and Atmospheric Administration, Department of Commerce | Catalog Last Checked: August 03, 2026 at 04:14 AM | Dataset Last Updated: December 08, 2022 at 12:00 AM
Data provided in this dataset are benthic habitat imagery that result from benthic photo-quadrat surveys conducted along transects at stratified random sites surveyed across the Main Hawaiian Islands during the 2019 bleaching event. The data were collected by the NOAA Ecosystem Sciences Division (ESD) during a multi-institutional effort by the Hawaii Coral Bleaching Collaborative (HCBC) to build a comprehensive dataset of the spatial extent and severity of bleaching in the Hawaiian Archipelago during the peak of the forecasted 2019 coral bleaching event. These photo-quadrat surveys were conducted during shore-based missions and were analyzed for benthic cover for which data is described at: "https://www.fisheries.noaa.gov/inport/item/59195". A stratified random sampling (StRS) design was employed to select random sites. The survey domain encompassed the majority of the mapped area of reef and hard bottom habitats in the 0-30 m depth range. The stratification scheme included island, reef zone, and depth in all regions, as well as habitat structure type in the Main Hawaiian Islands. Sampling effort was allocated based on strata area and sites were randomly located within strata. Sites were surveyed using photo-quadrats along transects to collect benthic imagery to ultimately produce estimates of relative abundance (percent cover), frequency of occurrence, benthic community taxonomic composition and relative generic richness. The StRS design effectively reduces estimate variance through stratification using environmental covariates and by sampling more sites rather than sampling more transects at a site. Therefore, site-level estimates and site to site comparisons should be used with caution.

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