Dataset

The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology - DgoMB: Meios

OBIS USA Open in mapper Explore occurrences

A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled “The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology.” Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation. However, to develop a Gulf-wide perspective of deep-sea communities, sampling in areas beyond those thought to be potential areas for exploration has been included in the study design. A major enhancement in the program is the extension of the transects onto the abyssal plain of the central Gulf of Mexico through collaborative studies with Mexican scientists. This additional work effort will allow assessment of benthic communities structure and function throughout the basin by sampling the deepest habitats in the region. The program is designed to gain a better ability to predict variations in the structure and function of animal assemblages in relation to water depth, geographic location, time and overlying water mass. Biological studies are integrated with measurements of physical and chemical hydrographic parameters, sediment geochemical properties and geological characteristics that are known to influence benthic community distributions and dynamics. Eight (8) hypotheses are being tested on the basis of measures of benthic community structure. It is hypothesized that community structure varies as a function of: 1) water depth, 2) geographic location (east vs. west), 3) association with canyons, 4) association with mid-slope basins, 5) sea surface primary productivity, 6) proximity to hydrocarbon seeps, 7) time (seasonal and interannual scales), and 8) association with the base of escarpments. This dataset includes the meiofauna abundance and biomass that were observed in this study. Meiofauna include nematode worms, harpacticoid copepods, and several other taxa. In some studies benthic forams are also included, but in this model, forams are considered part of the microbiota because they are single-celled organisms, rather than metazoans.

Citation: Wolff G, Rowe G, Kennicutt M, Presley B, Bernhard J, Morse J, Montagna P, Nowlin W, Bryant W, Wade T (2023). The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology - DgoMB: Meios. Version 1.4. United States Geological Survey. Samplingevent dataset. https://ipt-obis.gbif.us/resource?r=dgomb_meio&v=1.4

Published: May 26, 2023 at 22:18

URL: https://ipt-obis.gbif.us/resource?r=dgomb_meio

Gary Wolff
Texas A&M University

Gilbert Rowe
Texas A&M University

Mahlon Kennicutt
Texas A&M University

Bob Presley
Texas A&M University

Joan Bernhard
Woods Hole Oceanographic Institute

John Morse
Texas A&M University

Paul Montagna
Texas A&M University

Worth Nowlin
Texas A&M University

William Bryant
Texas A&M University

Terry Wade
Texas A&M University

14,376
occurrence records
22
taxa

Taxa

Missing and invalid fields

Field Missing Invalid
coordinateUncertaintyInMeters 14,376
100.0%
maximumDepthInMeters 14,376
100.0%
minimumDepthInMeters 14,376
100.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag Dropped Records
NO_DEPTH 14,376
100.0%

Measurement types

DNA derived data