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General Information

File Identifier:	NCRMP-StRS-Images-PRIA.0159165
Metadata Date Stamp:	2023-05
Organization:	NOAA National Centers for Environmental Information
Organization Role:	custodian

Identification Information

Title:

National Coral Reef Monitoring Program: Benthic Cover Derived from Analysis of Benthic Images Collected during Stratified Random Surveys (StRS) across the Pacific Remote Island Areas from 2015-01-26 to 2015-04-28 (NCEI Accession 0159165)

Abstract:

The data described here result from benthic photo-quadrat surveys conducted along transects at stratified random sites across the Pacific Remote Island Areas since 2014 as a part of Rapid Ecological Assessment (REA) surveys for corals and fish. Benthic habitat imagery were quantitatively analyzed using the web-based annotation tool CoralNet (Beijbom et al. 2016). In general, images are analyzed to produce three functional group levels of benthic cover: Tier 1 (e.g., hard coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Hard Coral = massive, branching, foliose, encrusting, etc.; Macroalgae = upright macroalgae, encrusting macroalgae, bluegreen macroalgae, and Halimeda, etc.), and Tier 3 (e.g., Hard Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.). A stratified random sampling (StRS) design was employed to survey the coral reef ecosystems throughout the U.S. Pacific regions. 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.

Browse Graphic

Browse Graphic URL:	https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0159165
Browse Graphic Caption:	Preview graphic
Browse Graphic Type:	PNG

Data Theme

Theme Topics:

Environment and Conservation, Biology and Ecology

Spatial Domain

West Bounding Longitude:	-176.627
South Bounding Latitude:	-.382556
East Bounding Longitude:	-159.972
North Bounding Latitude:	16.7809

Data Quality Information

Scope (quality information applies to):

Dataset

Contact Information

Email:	ncei.info@noaa.gov
Contact Website:	https://www.ncei.noaa.gov/contact

Metadata Reference Information

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