The data described here resulted from benthic photo-quadrat surveys conducted along transects at stratified random sites across American Samoa in 2023 as a part of Rapid Ecological Assessment (REA) surveys for corals and fish. Benthic habitat imagery was quantitatively analyzed using the web-based annotation tool CoralNet (Beijbom et al. 2016). Images were analyzed to produce three functional group levels of benthic cover:Benthic habitat images collected during photoquadrat surveys are quantitatively analyzed visually with the assistance of a web-based, machine-learning, image annotation tool, CoralNet. The robot tool annotates ten random points on each image for a total of 300 points per site, which are then reviewed by human analysts. The human annotations are then used to train the robot. This data is the final form of the robot-assisted human annotations. Taxa identification occurs at three functional group levels of benthic cover. Tier 1 (e.g., coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Coral = massive hard coral, branching hard coral, foliose hard coral, encrusting hard coral, etc.; Macroalga = upright macroalgae), and Tier 3 (e.g., Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.). If Tier 3 resolution is not possible, the next finest resolution is used.
A stratified random sampling (StRS) design was employed to survey the coral reef ecosystems across the region. 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. 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 (benthic 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.
About this Dataset
Title | National Coral Reef Monitoring Program: Benthic Cover Derived from Analysis of Benthic Images Collected during Stratified Random Surveys (StRS) across American Samoa from 2023-03-30 to 2023-08-09 (NCEI Accession 0290482) |
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Description | The data described here resulted from benthic photo-quadrat surveys conducted along transects at stratified random sites across American Samoa in 2023 as a part of Rapid Ecological Assessment (REA) surveys for corals and fish. Benthic habitat imagery was quantitatively analyzed using the web-based annotation tool CoralNet (Beijbom et al. 2016). Images were analyzed to produce three functional group levels of benthic cover:Benthic habitat images collected during photoquadrat surveys are quantitatively analyzed visually with the assistance of a web-based, machine-learning, image annotation tool, CoralNet. The robot tool annotates ten random points on each image for a total of 300 points per site, which are then reviewed by human analysts. The human annotations are then used to train the robot. This data is the final form of the robot-assisted human annotations. Taxa identification occurs at three functional group levels of benthic cover. Tier 1 (e.g., coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Coral = massive hard coral, branching hard coral, foliose hard coral, encrusting hard coral, etc.; Macroalga = upright macroalgae), and Tier 3 (e.g., Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.). If Tier 3 resolution is not possible, the next finest resolution is used. A stratified random sampling (StRS) design was employed to survey the coral reef ecosystems across the region. 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. 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 (benthic 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. |
Modified | 2024-03-26T16:01:56.897Z |
Publisher Name | N/A |
Contact | N/A |
Keywords | 0290482 , BENTHIC COMMUNITIES , photograph , visual estimate , NOAA Ship Rainier , US DOC; NOAA; NMFS; Pacific Islands Fisheries Science Center; Ecosystem Sciences Division , US DOC; NOAA; NMFS; Pacific Islands Fisheries Science Center , Coral Reef Conservation Program (CRCP) , CORAL REEF STUDIES , National Coral Reef Monitoring Program (NCRMP) , National Marine Sanctuary of American Samoa , Rose Atoll Marine National Monument , South Pacific Ocean , oceanography , DOC/NOAA/NMFS > National Marine Fisheries Service, NOAA, U.S. Department of Commerce , DOC/NOAA/NMFS/PIFSC/ESD > Ecosystem Sciences Division, Pacific Islands Fisheries Science Center, National Marine Fisheries Service, NOAA, U.S. Department of Commerce , EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC , Ships , RAINIER (call sign: WTEF, ICES code: 315R, 1968) , OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > AMERICAN SAMOA , OCEAN > PACIFIC OCEAN > SOUTH PACIFIC OCEAN , environment , oceans |
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