Contributors | Affiliation | Role |
---|---|---|
Young, Craig M. | University of Oregon (OIMB) | Principal Investigator |
Maslakova, Svetlana A. | University of Oregon (OIMB) | Co-Principal Investigator |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Environmental and equipment data collected by the MOCNESS during deployments near methane seep sites on the Barbados Acretionary Prism, 2012 and in the northern Gulf of Mexico, 2014, from .PRO files.
One-meter MOCNESSS nets fitted with 300 um mesh nets were towed obliquely over methane seep sites, closing and opening nets at intervals that varied with the depth. Not all environmental sensors were on, so some recorded constant zero values.
BCO-DMO Processing:
MOCNESS sensor data are served using a custom perl script. In order to apply the script, the file name and header must be in a prescribed format. BCO-DMO edited the filenames and headers to conform to these requirments. Minor editing was done to clarify dates and sample numbers. Bad records due to the instrument being out of the water at the start and end of the tow were removed.
File |
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ctd_mocness.csv (Comma Separated Values (.csv), 13.75 MB) MD5:4d41e86c30e298d0eb844f43351fbea3 Primary data file for dataset ID 658408 |
ctd_mocness_AT21-02.csv (Comma Separated Values (.csv), 9.35 MB) MD5:91e66aa0da6afec89e70c9aeb203cb0a Displayed by /data/Scripts/ctd_mocness/mocpro_level0_conf.pl Version: V2.10/April 11, 2014 Displayed by /data/Scripts/ctd_mocness/mocpro_level1_conf.pl Version: V2.20/April 11, 2014 For MOC.25 data, with filetype=pro |
ctd_mocness_AT26-15.csv (Comma Separated Values (.csv), 4.40 MB) MD5:f2de2a3b3673f752fb7bc55659091876 Displayed by /data/Scripts/ctd_mocness/mocpro_level0_conf.pl Version: V2.10/April 11, 2014 Displayed by /data/Scripts/ctd_mocness/mocpro_level1_conf.pl Version: V2.20/April 11, 2014 For MOC.25 data, with filetype=pro |
Parameter | Description | Units |
cruiseid | Cruise identification | unitless |
year_local | Four digit year, local time | |
tow | Tow number | |
day_local | Day of month, local time, 1 - 31 | |
month_local | Month of year, local time 1 - 12 | |
station | station number, from event log | |
yrday_local | year day, Julian Calendar local time | decimal day |
time_local | time of day; local time using 24 hour clock. | HHmm.m |
press | depth of sample | decibars |
temp | temperature | degrees C. |
theta | potential temperature | degrees Celsius |
sal | salinity calculated from conductivity; if salinity exceeds 50 or is less than 0 o/oo, salinity is set to nd. | |
sigma | potential density at the surface | kg/m^3 -1000 |
fluor | fluorescence | milligrams/meter^3 ? |
angle | angle of net frame relative to vertical (0-89 dgrees) | degrees |
flow | consecutive flow counts | |
hzvel | horizontal net velocity m/min | meters/minute |
vtvel | vertical net velocity m/min | meters/minute |
vol | volume filtered | meters<sup>3</sup> |
ptran | light transmission as percent | percent |
net | sequential MOCNESS net number | |
lat | latitude, North is positive | decimal degrees |
lon | longitude, East is positive | decimal degrees |
Dataset-specific Instrument Name | |
Generic Instrument Name | CTD MOCNESS |
Generic Instrument Description | The CTD part of the MOCNESS includes 1) a pressure (depth) sensor which is a thermally isolated titanium strain gauge with a standard range of 0-5000 decibars full scale, 2) A Sea Bird temperature sensor whose frequency output is measured and sent to the surface for logging and conversion to temperature by the software in the MOCNESS computer (The system allows better than 1 milli-degree resolution at 10 Hz sampling rate), and 3) A Sea Bird conductivity sensor whose output frequency is measured and sent to the surface for logging and conversion to conductivity by the software in the computer (The system allows better than 1 micro mho/cm at 10 Hz sampling rate). The data rate depends on the speed of the computer and the quality of the cable. With a good cable, the system can operate at 2400 baud, sampling all variables at 2 times per second. One sample every 4 seconds is the default, although the hardware can operate much faster. (From The MOCNESS Manual) |
Website | |
Platform | R/V Atlantis |
Start Date | 2014-05-21 |
End Date | 2014-06-14 |
Description | Start: Depart Gulfport, MS 05/21/2014
End: Arrive St. Petersburg, FL 06/14/2014
The AT26-15 cruise was conducted as part of the project "Connectivity in western Atlantic seep populations: Oceanographic and life-history processes underlying genetic structure" (SeepC) funded by NSF OCE-1031050. The cruise included coordinated deployments of DSV Alvin and AUV Sentry.
Science objectives (from the WHOI Cruise Planning Synopsis):
The primary objective of the SeepC Project is to advance our general knowledge of connectivity in the deep sea using taxa found at seeps as model systems. The focus is on species and processes occurring in the Intra-American Sea (including the Caribbean, Gulf of Mexico, and eastern seaboard of the US), with attention to oceanographic circulation, life histories, and genetics.
Our efforts include improving the oceanographic model for the IAS near the seabed using current data from moorings at several depths and locations and coupling this model to a Lagrangian larval transport model. We stress the importance of iterative interactions among the science teams to advance our understanding of connectivity in the deep sea through descriptive and hypothesis-driven research. We will develop effective and best methods for hypothesis testing under the constraints of working in a relatively inaccessible environment and will build capacity in understanding connectivity in deep-sea systems. |
Website | |
Platform | R/V Atlantis |
Report | |
Start Date | 2012-06-01 |
End Date | 2012-06-17 |
Description | Cruise information and original data are available from the NSF R2R data catalog.
http://www.whoi.edu/cruiseplanning/synopsis.do?id=1942
The primary objective of the SeepC Project is to advance our general knowledge of connectivity in the deep sea using taxa found at seeps as model systems. The focus is on species and processes occurring in the Intra-American Sea (including the Caribbean, Gulf of Mexico, and eastern seaboard of the US), with attention to oceanographic circulation, life histories, and genetics.
Science objectives (from the WHOI Cruise Planning Synopsis):
Mooring recoveries and sampling at 3 Barbados seep sites (El Pilar, Orenoque A, Orenoque B) plus MOCNESS tows and some mapping (multibeam, CHIRP). We may add sample sites if we are able to undertake an advance SENTRY survey in the region (pending request). Our aim would be to add new sites separated by as much as 150-200 km max along a depth gradient and along an isobath. Use of SENTRY would allow us to undertake precision sampling of known sites, 1 to 1.5 days per station at each of 6 to 8 seep stations. This is part of the Seep Connectivity Project funded by NSF to investigate historical and contemporary linkages among Barbados, Gulf of Mexico, and Blake Ridge seep species.
Activities at each site:
1) Sub-bottom profiling to locate seep areas
2) MOCNESS tows for larval sampling
3) Mooring recoveries (current meter, 2 sediment/larval traps per mooring)
4) Intensive sampling of seep fauna for genetic and reproduction studies |
This project will evaluate connectivity on spatial scales that match those at which vent systems are being studied (3500 km), with a set of nested seeps (within the Barbados system) within which connectivity can be explored at more local spatial scales (30 to 130 km), and with species that span depth (600 m to 3600 m) and geographic ranges (30 km to 3500 km) and that have diverse life-history characteristics. Five deep-sea seep systems in the Intra- American Sea (IAS) are targeted: Blake Ridge, Florida Escarpment, Alaminos Canyon, Brine Pool, Barbados (El Pilar, Orenoque A, Orenoque B). The primary objective is to advance our general knowledge of connectivity in the deep sea. The focus is on species and processes occurring in the IAS, with attention to oceanographic circulation, life histories, and genetics. Questions that apply in shallow-water systems motivate this study:
1. What phylogeographic breaks occur in the system? It is important to distinguish between phylogeographic history and connectivity. A phylogeographic break with no shared alleles between populations implies a long history of isolation or possibly cryptic speciation.
2. Are populations connected by ongoing migration? This is the fundamental question about connectivity and the scale of genetic variation in marine species with planktonic larvae.
3. What biophysical processes underlie observed connectivities? Biological processes (e.g., larval distributions in the water column, timing of reproduction, and planktonic larval duration) and physical processes of transport and dispersion interact to determine connectivity.
The oceanographic model for the IAS will be improved and coupled to a Lagrangian larval transport model. The field program includes time-series sampling of larvae at seeps with records of current velocities, water column sampling to determine larval distribution potential, shipboard studies of larval biology and behavior, and sampling of benthic target species. Phylogenetic and population genetic tools will be used to explore historical and contemporary gene flow. Iterative interactions among the science teams will advance our understanding of connectivity in the deep sea and to develop effective and best methods for hypothesis testing under the constraints of working in a relatively inaccessible environment. Since their discovery, deep-sea chemosynthetic ecosystems have been novel systems within which to test the generality of paradigms developed for shallow-water species. This study will explore scale-dependent biodiversity and recruitment dynamics in deep-sea seep communities, and will identify key factors underlying population persistence and maintenance of biodiversity in these patchy systems.
Google Earth map showing positions of stations, CTD, XBT, multibeam locations (KMZ file dlownload)
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |