Dataset: McMurdo transects
Deployment: McMurdo_SCINI_2010

Epifaunal abundance and diversity in McMurdo Sound, Antarctica

Lead Principal Investigator:

Dr Paul Dayton (University of California-San Diego Scripps, UCSD-SIO)

Principal Investigator:

Dr Paul Dayton (University of California-San Diego Scripps, UCSD-SIO)

Co-Principal Investigator:

Dr John Oliver (Moss Landing Marine Laboratories, MLML)

Scientist:

Stacy Kim (Moss Landing Marine Laboratories, MLML)

Contact:

Stacy Kim (Moss Landing Marine Laboratories, MLML)

BCO-DMO Data Manager:

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Project:

Decadal Variation in Antarctic Marine Benthic Ecosystems (McMurdo Marine Benthos)

Current State:

Final no updates expected

Version Date:

2013-10-07

Data URL:

https://osprey.bco-dmo.org/dataset-deployment/456121/data

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Description

Epifaunal abundance and diversity in McMurdo Sound, Antarctica in 2010, from ROV images.

Methods & Sampling

Dataset acquisition description

Sampling and Analytical Methodology:
Seafloor imagery was collected by a remotely operated vehicle (SCINI) during the austral summer 2010. Surface (dive hole) locations were recorded with a handheld GPS, and quadrants were located within 200 m of the hole. Depths were accurate to 2%. Images were scaled with parallel lasers, from which we determined total area quantified, as well as area, length and/or diameter of individual organisms. Each line in the database indicates the presence of one individual of the taxa in that quadrant, even when there is no data listed for organism area or size; this allows abundance to be calculated. Organisms were identified to the lowest possible taxonomic category.

Data Processing Description

Dataset Processing Description

Related Literature:

LTERB proposal, "Collaborative Research: Decadal variation in Antarctic marine benthic ecosystems"

Cazenave, F, R Zook, D Carroll, M Flagg, S Kim. 2011. Development of the ROV SCINI and deployment in McMurdo Sound, Antarctica. Journal of Ocean Technology 6(3):39-58.

More information about this dataset deployment

Funding

Award Number	Funding Source
ANT-0842064	NSF Antarctic Sciences

Instruments

Remotely Operated Vehicle

Supplied Name: ROV

Supplied Description:

Submersible Capable of under Ice Navigation and Imaging (SCINI) is a small, slender vehicle that can fit through a 20 cm hole in the ice, allowing for deployment without heavy drilling equipment and with minimal logistical support. Its maximum depth capability is 300 m. SCINI is equipped with two video cameras, scaling lasers, and lights, with forward speeds of up to 4 knots. SCINI uses Ethernet over power on a 400 m long two-wire tether. A long baseline acoustic positioning system is used for navigation which uses a combination of two to four acoustic transducers hanging below the ice and a synchronized pinger on the vehicle for positional accuracy of better than 1 metre. [See Cazenave, F, R Zook, D Carroll, M Flagg, S Kim. 2011. Development of the ROV SCINI and deployment in McMurdo Sound, Antarctica. Journal of Ocean Technology 6(3):39-58.]

Instrument Type

Generic Name: Remotely Operated Vehicle

Acronym: ROV

Generic Description:

Remotely operated underwater vehicles (ROVs) are unoccupied, highly maneuverable underwater robots operated by a person aboard a surface vessel. They are linked to the ship by a group of cables that carry electrical signals back and forth between the operator and the vehicle. Most are equipped with at least a video camera and lights. Additional equipment is commonly added to expand the vehicle’s capabilities. These may include a still camera, a manipulator or cutting arm, water samplers, and instruments that measure water clarity, light penetration, and temperature.

Parameters

Supplied Name	Supplied description	Supplied Units	Standard Name
lat	latitude; North is positive; negative denotes South	decimal degrees	lat
lon	longitude; East is positive; negative denotes West	decimal degrees	lon
phylum	taxonomic phylum of organism	unitless	phylum
class	taxonomic class of organism	unitless	class
order	taxonomic order of organism	unitless	order
family	taxonomic family of organism	unitless	family
length	length of organism	centimeters	length
diameter_cm	diameter of organism	centimeters	no_bcodmo_term
area_organism_cm2	area of organism	centimeters squared	no_bcodmo_term
area_photo_cm2	area of organism	centimeters squared	no_bcodmo_term
year	year of sampling	unitless	year
month_local	month; local time	unitless	month_local
day_local	day of month; local time	unitless	day_local
synonomy	other identifying notes	unitless	no_bcodmo_term
depth_min	shallower depth of the range sampled	meters	depth_min
depth_max	deeper depth of the range sampled	meters	depth_max
species	the taxonomic binomial consisting of the genus name followed by the species name of the organism (separated with an underscore)	unitless	species
sta	station identifier	unitless	sta

Database

Contribute Data

Dataset: McMurdo transects
Deployment: McMurdo_SCINI_2010

Dataset acquisition description

Dataset Processing Description

Database

Contribute Data

Dataset: McMurdo transectsDeployment: McMurdo_SCINI_2010

Dataset acquisition description

Dataset Processing Description

Dataset: McMurdo transects
Deployment: McMurdo_SCINI_2010