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Dataset Overview | National Centers for Environmental Information (NCEI)

Growth of Gorgonia ventalina from 2013-2019, St. John, US Virgin Islands (NCEI Accession 0291588)

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This dataset contains data collected in the Caribbean Sea from 2013-07-01 to 2019-08-31. These data include depth. The instruments used to collect these data include Temperature Logger and Thermistor. These data were collected by Peter J. Edmunds of California State University Northridge as part of the "RUI-LTREB Renewal: Three decades of coral reef community dynamics in St. John, USVI: 2014-2019 (RUI-LTREB)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2020-11-02.

The following is the text of the dataset description provided by BCO-DMO:

Gorgonia ventalina growth, 2013-2019

Dataset Description:
Acquisition Description:
Taken from publication in PeerJ
The study focused on Gorgonia ventalina at Yawzi Point and Tektite within Great Lameshur Bay, and the research was completed under permits issued by the Virgin Islands National Park. These reefs have been monitored from 1987 to present, and the present analysis was superimposed on the same study areas. At each site, three permanent transects were installed in 1987, with each ~ 10 m long, parallel to one another, and ~ 5 m apart. Contiguous photoquadrats (1 × 1 m) have been recorded along each transect to quantify the cover of benthic taxa.

Starting in August 2013, colonies of G. ventalina ± 1 m of each transect were surveyed, with their sizes recorded as height. Each colony was mapped through Cartesian coordinates along each transect, and their height was recorded using a flexible tape measure (± 0.5 cm) as the linear distance from the holdfast to the highest distal portion of living tissue. Fans that were symmetrical or slightly imperfect in shape with small areas of mortality were easily measured, but fans that were torn and were affected by partial mortality (i.e., categorized as "ragged" fans) posed challenges for measurement. The size of ragged fans was recorded as their greatest height, which overestimated their size relative to the amount of G. ventalina tissue. Field logistics prevented finer resolution of tissue area (e.g., through photography, but separate analyses of photoquadrats were used to evaluate the abundance of ragged colonies in each year.

The surveys of G. ventalina were repeated annually in August from 2013 to 2019, and on each occasion colonies were mapped and their sizes recorded as above. Sizes and Cartesian coordinates were compared between consecutive years to identify colonies that were evaluated in both years, colonies that had died between years (lost from the reef or reduced to a horny axis without tissue), or small colonies that recruited between years.

Analyses
Mean densities of G. ventalina were compared among times using repeated measures ANOVA in which transects were repeatedly surveyed over time; a non-parametric Friedman test was used when statistical assumptions were not met. Mean colony sizes were compared over time using one-way ANOVA in which each colony was a replicate. The density of G. ventalina recruits was evaluated from colonies = 5 cm tall, and their densities and heights were compared over time as described above. Colonies were considered to have left the recruiting size class when they were > 5 cm tall. The percentage distribution of colonies among sizes classes over time was evaluated using size (height) classes of 10 cm, with the largest class including colonies between 60 and 100 cm tall. The distribution of colonies among size classes was tested for variation among years using chi-squared contingency tables. Growth was recorded as the change in height between consecutive years for colonies that were located in both years, and growth was compared over time using non-parametric Kruskal-Wallis (three or more groups) or Mann-Whitney U-Tests (two groups).
Density-associated effects were explored through analyses of the relationships between mean height and mean density for self-thinning, and between mean density of recruits and mean density of colonies > 5 cm tall, using transects as statistical replicates. Evidence for self-thinning would be revealed by an inverse relationship size and density, and a slope of the log size versus log density relationship of ~ 1.5. Evidence of density-associated recruitment would be revealed by a linear relationship between the density of recruits and larger colonies, and a linear relationship (either positive or negative) between per-capita recruitment and density of colonies > 5 cm tall. Per capita recruitment was calculated by dividing the density of recruits by the density of colonies > 5 cm tall.
  • Cite as: Edmunds, Peter J. (2024). Growth of Gorgonia ventalina from 2013-2019, St. John, US Virgin Islands (NCEI Accession 0291588). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0291588. Accessed [date].
gov.noaa.nodc:0291588
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 2013-07-01 to 2019-08-31
Spatial Bounding Box Coordinates
West: -64.726
East: -64.722
South: 18.311
North: 18.315
Spatial Coverage Map
General Documentation
Associated Resources
  • Biological, chemical, physical, biogeochemical, ecological, environmental and other data collected from around the world during historical and contemporary periods of biological and chemical oceanographic exploration and research managed and submitted by the Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    • NCEI Collection
      Navigate directly to the URL for data access and direct download.
  • Edmunds, P. J. (2020) Growth of Gorgonia ventalina from 2013-2019, St. John, US Virgin Islands. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-10-29. https://doi.org/10.26008/1912/bco-dmo.827897.1
  • Parent ID (indicates this dataset is related to other data):
    • gov.noaa.nodc:BCO-DMO
Publication Dates
  • publication: 2024-04-21
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Purpose This dataset is available to the public for a wide variety of uses including scientific research and analysis.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Theme keywords NODC DATA TYPES THESAURUS WMO_CategoryCode
  • oceanography
BCO-DMO Standard Parameters Originator Parameter Names
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Instrument keywords NODC INSTRUMENT TYPES THESAURUS BCO-DMO Standard Instruments Global Change Master Directory (GCMD) Instrument Keywords Originator Instrument Names
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords
Project keywords BCO-DMO Standard Projects Provider Funding Award Information
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Edmunds, Peter J. (2024). Growth of Gorgonia ventalina from 2013-2019, St. John, US Virgin Islands (NCEI Accession 0291588). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0291588. Accessed [date].
Data License
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2024-04-21T18:38:06Z - NCEI Accession 0291588 v1.1 was published.
Output Datasets
Acquisition Information (collection)
Instrument
  • temperature probe
  • thermistor
Last Modified: 2024-05-31T18:50:46Z
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