Dataset: Larval fish identifications and concentrations
Deployment: SKQ201804S

Ichtyoplankton identifications and concentrations MOCNESS tows

View Data: For data, See Dataset Metadata Page: https://www.bco-dmo.org/dataset/888753

Principal Investigator:

Robert K. Cowen (Oregon State University, OSU)

Co-Principal Investigator:

Su Sponaugle (Oregon State University, OSU)

Kelly Rakow Sutherland (University of Oregon, OIMB)

Contact:

Kelsey Swieca (Oregon State University, OSU)

BCO-DMO Data Manager:

Karen Soenen (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Project:

Collaborative Research: Mesozooplankton food webs in intermittent upwelling systems: An overlooked link in a productive ocean (MEZCAL)

Version:

Deployment Synonyms:

W18

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Description

Methods & Sampling

Dataset acquisition description

We sampled along two transects in the winters and summers of 2018 and 2019. One transect was off of Trinidad Head, CA and the other Newport, OR (See MOCNESS Towing stations, supplemental files). Each transect consisted of five target stations during the day and at night with replicate tows at each station. However, this sampling design was often modified at sea. This dataset describes daytime samples only.

To sample a range of zooplankton simultaneously, a coupled Multiple Opening and Closing Net Environmental Sensing System (MOCNESS) consisting of a 4m2 net fitted with 1 mm mesh and a 1 m2 net with 333 μm mesh (Guigand et al. 2005) was used. The former is referred to as the Moc4 and the latter the Moc1. The Moc4 and Moc1 each have 5 nets (numbered 0-4) to sample discrete depths. Please see above for depth descriptions. All tows were sent to a target depth of 100 m.

Data Processing Description

Dataset Processing Description

Immediately after MOCNESS retrieval, nets were rinsed with seawater, sieved, and individually preserved in 95% ethanol. Ethanol was changed within 48 h of collection and again within two months to properly preserve larvae. MOCNESS samples were sorted in the laboratory and fish larvae were enumerated and identified to the lowest possible taxonomic level. Individual taxa concentrations (ind 1000 m-3) were calculated by dividing biological counts from each net by the volume of water filtered through the net.

BCO-DMO processing notes:
* Added figure of MOCNESS Towing stations

More information about this dataset deployment

Funding

Award Number	Funding Source
OCE-1737364	NSF Division of Ocean Sciences
OCE-1737399	NSF Division of Ocean Sciences

Instruments

MOCNESS

Supplied Name: Multiple Opening and Closing Net Environmental Sensing System (MOCNESS)

Supplied Description:

A coupled Multiple Opening and Closing Net Environmental Sensing System (MOCNESS) consisting of a 4m2 net fitted with 1 mm mesh and a 1 m2 net with 333 μm mesh was used.

Instrument Type

Generic Name: MOCNESS

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/NETT0097/

Generic Description:

The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974).(from MOCNESS manual) This designation is used when the specific type of MOCNESS (number and size of nets) was not specified by the contributing investigator.

Parameters

Supplied Name	Supplied description	Supplied Units	Standard Name
Cruise	Cruise identifier: W18=Winter 2018; S18=Summer 2018, W19=Winter 2019; S19=Summer 2019	unitless	cruise_id
Haul_number	Sample identifier: combination of Haul Number - Haul - Moc	unitless	sample
Haul	A station identifier for labeling purposes and quick reference. Station were consecutively numbered as they were sampled.	unitless	sta_id
Moc	Net type: 1=Moc1, 1m2 opening 333 um mesh; 4=Moc4, 4m2 opening 1 mm mesh	unitless	net
Net_number	Net open on MOCNESS: 0=oblique; 1=100-75m depth; 2=75-50m depth; 3=50-25m depth; 4=25m-surface	unitless	net
time_start_GMT	Time of the start of the net towing in UTC timezone, ISO formatted (HH:MM:SSZ)	unitless	time
time_end_GMT	Time of the end of the net towing in UTC timezone, ISO formatted (HH:MM:SSZ)	unitless	time
Station_lat	Latitude of tow start location, south is negative	decimal degrees	lat
Station_lon	Longitude of tow end location, west is negative	decimal degrees	lon
Season	Sampling season: winter or summer	unitless	sample_descrip
Location	Sampling location: NH=Newport, OR; TR=Trinidad Head, CA	unitless	site
Station	Location along transect: 1= closest nearshore; 5=furthest offshore	unitless	transect_station
Transect	Sampling transect: MaD=First day transect, MbD=Second (replicate)day transect	unitless	transect
Family	Fish family	unitless	family
Species	Fish species	unitless	species
Fish_count	Counted fish larvae in filtered volume	unitless	count
Net_volume_filtered_m3	Filtered volume	liter per cubic meter (l/m3)	vol_filt
Fish_concentration_1000m3	Fish concentration (fish count * 1000)/volume filtered	species per cubic meter*1000	no_bcodmo_term
Date	Sample date in GMT timezone, ISO format (yyyy-mm-dd).	unitless	date
ISO_DateTime_UTC_Start	Start time and date of sampling, UTC time zone, ISO formatted.	unitless	ISO_DateTime_UTC
ISO_DateTime_UTC_End	End time and date of sampling, UTC time zone, ISO formatted.	unitless	ISO_DateTime_UTC

Database

Contribute Data

Dataset: Larval fish identifications and concentrations
Deployment: SKQ201804S

Dataset acquisition description

Dataset Processing Description

Database

Contribute Data

Dataset: Larval fish identifications and concentrationsDeployment: SKQ201804S

Dataset acquisition description

Dataset Processing Description

Dataset: Larval fish identifications and concentrations
Deployment: SKQ201804S