Dataset: Length measurements
Deployment: SKQ201804S

Fish lengts sampled with MOCNESS in winter & summer 2018 & 2019

View Data: For data, See Dataset Metadata Page: https://www.bco-dmo.org/dataset/867668

Principal Investigator:

Robert K. Cowen (Oregon State University, OSU-HMSC)

Co-Principal Investigator:

Su Sponaugle (Oregon State University, OSU-HMSC)

Kelly Rakow Sutherland (University of Oregon, OIMB)

Contact:

Kelsey Swieca (Oregon State University, OSU-HMSC)

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.

At certain stations we only did oblique tows, these are indicated by ‘oblique’ in the notes section. Additionally, we were not able to sample at every station proposed. Please see the data sheet for sampled stations.

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. Fish species of interest (Engraulis mordax and Stenobrachius leucopsarus) were placed in individual vials for further analyses. 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. Fish larvae of interest were measured for standard length (SL) to the nearest 0.01 mm using a Leica MZ16 dissecting microscope with a QImaging camera and Image Pro Premier 9.1 software.

BCO-DMO Processing Notes:
* Merged Engraulis mordax and Stenobrachius leucopsarus files into 1 dataset

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

Supplied Description:

We used 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

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
Statio_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
Species	Fish species: Engraulis mordax or Stenobrachius leucopsarus	unitless	species
Standard_length_mm	Standard lenght of fish species	mm (millimeter)	no_bcodmo_term
Notes	Notes	unitless	comment
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: Length measurements
Deployment: SKQ201804S

Dataset acquisition description

Dataset Processing Description

Database

Contribute Data

Dataset: Length measurementsDeployment: SKQ201804S

Dataset acquisition description

Dataset Processing Description

Dataset: Length measurements
Deployment: SKQ201804S