We’re sorry, but GBIF doesn’t work properly without JavaScript enabled.
Our website has detected that you are using an outdated insecure browser that will prevent you from using the site. We suggest you upgrade to a modern browser.
{{nav.loginGreeting}}
  • Get data
      • Occurrences
      • GBIF API
      • Species
      • Datasets
      • Occurrence snapshots
      • Hosted portals
      • Trends
  • How-to
    • Share data

      • Quick-start guide
      • Dataset classes
      • Data hosting
      • Standards
      • Become a publisher
      • Data quality
      • Data papers
    • Use data

      • Featured data use
      • Citation guidelines
      • GBIF citations
      • Citation widget
  • Tools
    • Publishing

      • IPT
      • Data validator
      • Scientific Collections
      • Suggest a dataset
      • New data model ⭐️
    • Data access and use

      • Hosted portals
      • Data processing
      • Derived datasets
      • rgbif
      • pygbif
      • MAXENT
      • Tools catalogue
    • GBIF labs

      • Species matching
      • Name parser
      • Sequence ID
      • Relative observation trends
      • GBIF data blog
  • Community
    • Network

      • Participant network
      • Nodes
      • Publishers
      • Network contacts
      • Community forum
      • alliance for biodiversity knowledge
    • Volunteers

      • Mentors
      • Ambassadors
      • Translators
      • Citizen scientists
    • Activities

      • Capacity enhancement
      • Programmes & projects
      • Training and learning resources
      • Data Use Club
      • Living Atlases
  • About
    • Inside GBIF

      • What is GBIF?
      • Become a member
      • Governance
      • Implementation plan
      • Work Programme
      • Funders
      • Partnerships
      • Release notes
      • Contacts
    • News & outreach

      • News
      • Newsletters and lists
      • Events
      • Ebbe Nielsen Challenge
      • Graduate Researchers Award
      • Science Review
      • Data use
  • User profile

Spatial variation of bacterioplankton in south Atlantic Bight

Dataset homepage

Citation

MGnify (2019). Spatial variation of bacterioplankton in south Atlantic Bight. Sampling event dataset https://doi.org/10.15468/2ohhti accessed via GBIF.org on 2023-01-30.

Description

The continental shelf ecosystem off the Georgia coast i.e., the South Atlantic Bight (SAB), is among the most productive marine environments that hosts many hard or live bottom areas and are homes to large number of phytoplankton, sponges, corals and many species of tropical and subtropical fishes. From the Georgia bank seaward, the coastal, shelf, slope and Gulf Stream waters represent a natural gradient of many environmental parameters, including decreased nutrients and increased salinity. Extensive efforts have surveyed the major macroorganisms in the region, however, little is known yet on the dynamics of bacteria, which are the major conduits in the energy and nutrient flow within the system. This study investigated the spatial and temporal dynamics of bacterioplankton community composition along transects from the coast bank of Georgia to Gulf Streams on the SAB.

Sampling Description

Sampling

The continental shelf ecosystem off the Georgia coast i.e., the South Atlantic Bight (SAB), is among the most productive marine environments that hosts many hard or live bottom areas and are homes to large number of phytoplankton, sponges, corals and many species of tropical and subtropical fishes. From the Georgia bank seaward, the coastal, shelf, slope and Gulf Stream waters represent a natural gradient of many environmental parameters, including decreased nutrients and increased salinity. Extensive efforts have surveyed the major macroorganisms in the region, however, little is known yet on the dynamics of bacteria, which are the major conduits in the energy and nutrient flow within the system. This study investigated the spatial and temporal dynamics of bacterioplankton community composition along transects from the coast bank of Georgia to Gulf Streams on the SAB.

Method steps

  1. Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1

Taxonomic Coverages

Geographic Coverages

Bibliographic Citations

Contacts

originator
Kent State University
metadata author
Kent State University
administrative point of contact
Kent State University
What is GBIF? API FAQ Newsletter Privacy Terms and agreements Citation Code of Conduct Acknowledgements
Contact GBIF Secretariat Universitetsparken 15 DK-2100 Copenhagen Ø Denmark