Dataset: EcoMon Plankton 100m3
Deployment: DL8309

EcoMon plankton counts from Bongo tows. Includes MARMAP data.

Scientist:

Jonathan Hare (Northeast Fisheries Science Center - Narragansett, NOAA NEFSC)

Contact:

James P. Manning (Northeast Fisheries Science Center - Woods Hole, NOAA NEFSC)

Ms Maureen Taylor (Northeast Fisheries Science Center - Woods Hole, NOAA NEFSC)

BCO-DMO Data Manager:

Robert C. Groman (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Project:

EcoMon Zooplankton (EcoMon Zooplankton)

Current State:

Cruise complete

Version:

1.1

Data URL:

https://www.bco-dmo.org/dataset-deployment/454273/data

Expand/Collapse All

Description

Zooplankton data from several surveys conducted during the Marine Resources Monitoring, Assessment, and Prediction (MARMAP), Atlantic herring and sand lance (HSL), and Ecosystem Monitoring (EcoMon) programs.

It is requested that people use the following standard acknowledgement when publishing or presenting results that utilize NMFS data extracted from BCO-DMO.

"This study utilized data collected by the NOAA's Northeast Fisheries Science Center as part of an ongoing mission to monitor and assess the Northeast Continental Shelf ecosystem."

Source: NOAA NMFS NEFSC Oceanography Branch

NOTE: Newest data, v3.1, is not yet linked to the mapping service.

Notes:

Values are the number of organisms per 100 m3 of water sampled.
Taxa were selected based on time series mean abundance greater than 100 per 100 m3 and occurrence in greater than 5% of samples.
Number of stations between the 100 m^3 and 10 m^2 datasets may be different because the number of larvae under 10 m2 was not calculated at stations where the net was greater than 5-m off the bottom.

Date: 26 January 2011:
As of July 30, 2010 we have attempted to replace the taxonomic abbreviations with the actual names in the displayed data. The original abbreviations are shown below for historical purposes.

List of taxonomic abbreviations and MARMAP codes:

COLUMN NAME	TAXONOMIC NAME		MARMAP TAXONOMIC CODE(S)
ctyp		Centropages typicus	103
calfin		Calanus finmarchicus	101
pseudo		Pseudocalanus spp.	102 and 4128
penilia		Penilia avirostris	611 and 613
tlong		Temora longicornis	104
cham		Centropages hamatus	109
echino		Echinodermata		1500-1599
append		Appendicularia		700-799
para		Paracalanus parvus	135
gas		Gastropoda		300-399, 1100-1199, 
                                        3300-3399
acarspp		Acartia spp.		4027
mlucens		Metridia lucens		105
evadnespp	Evadne spp.		605
salps		Salpa			3400-3499
oithspp		Oithona spp.		138
cirr		Cirripedia		2100-2199
chaeto		Chaetognatha		200-299
hyper		Hyperiidea		400-499, 800-849, 
                                        4600-4699
gam		Gammaridea		870-899, 4400-4499
evadnord	Evadne nordmanni	607
coe		Coelenterata		1200-1299, 1800-
                                        1899, 2300-2399
calminor	Calanus minor		143
copepoda	Copepoda		100
clauso		Clausocalanus arcuicornis	157
dec		Decapoda		500-599, 1000-
                                        1099,3100-3299
euph		Euphausiacea		2000-2099
prot		Protozoa		3900-3999
acarlong	Acartia longiremis	107
euc		Eucalanus spp.		180
pel		Pelecypoda		1300-1399
poly		Polychaeta		2500-2599
podon		Podon spp.		601
fish		Pisces			3500
bry		Bryozoa			900-949
fur		Clausocalanus furcatus 	4064
calspp		Calanus spp.		178
oncaea		Oncaea spp.		191
cory		Corycaeidae		4045
ost		Ostracoda		3600-3699
tstyl		Temora stylifera	153
oithspin	Oithona spinirostris	114
mysids		Mysidacea		2800-2899
temspp		Temora spp.		4059
tort		Tortanus discaudatus	108
paraspp		Paracalanus spp.	4118

NOAA/NMFS Data Use and Acknowledgement Policy:

These data are provided by the Northeast Fisheries Science Center of the U.S. National Marine Fisheries Service. A number of different vessels have been involved in sampling, and gear and methods have evolved over time. All of these factors affect sampling and the interpretation of data. The agency has developed correction factors to adjust for these changes and use other statistical tools for population estimates. The data we present here can be used as an index of abundance (over time or space) within a species or among species with similar vulnerability to the sampling gear. The data refer to a standard tow or sample and are not normalized to a unit area. Please refer to the detailed metadata for each dataset for more information, and to the data products for useful summaries of the data. Users are encouraged to contact the responsible agencies for guidance in using the data.

It is not ethical to publish data without proper attribution or co-authorship. The data are the intellectual property of the collecting investigator(s).

The intellectual investment and time committed to the collection of a data set entitles the investigator to the fundamental benefits of the data set. Publication of descriptive or interpretive results derived immediately and directly from the data is the privilege and responsibility of the investigators who collect the data.

The purpose of a data archive is to facilitate collaboration between scientists, to allow the combination of multiple data sets for interdisciplinary and comparative studies, and the development and testing of new theories. The data managed by the Biological and Chemical Oceanography Data Management Office (BCO-DMO) are made available even though they may not be "final" (i.e., error free) data.

Any person making substantial use of a data set must communicate with the investigators who acquired the data and/or the Data Management Office prior to publication and anticipate that the data collectors will be co-authors of published results. This extends to model results and to data organized for retrospective studies.

The data available here are intended for scholarly use by the academic and scientific community, with the express understanding that any such use will properly acknowledge the originating investigator. Use or reproduction of any material herein for any commercial purpose is prohibited without prior written permission from the Data Management Office.

Methods & Sampling

Dataset acquisition description

Plankton sampling was conducted bi-monthly, monthly, or quarterly each year depending on the sampling program. Samples were collected both day and night on cruises using a 61-cm bongo net fitted with a 333-?m mesh net. Oblique tows were a minimum of 5-mintues in duration, and fished from the surface to within 5-m of the seabed or to a maximum depth of 200-m. A mechanical flowmeter was fitted in the mouth of each net to record the volume sampled. Samples were preserved in 5% formalin.

This dataset does not include the samples from the 20cm Bongo. (NMFS 3.1 - 2017-03-23)

Data Processing Description

Dataset Processing Description

Plankton tows differ with respect to volume of water filtered and maximum tow depth. In order to make data values comparable, these values were normalized through the use of a standard haul factor. The two standard haul factors were: the number of organisms beneath 10 m^2 of sea surface (eq. 1) and the number per 100 m^3 of water sampled (eq. 2).

Eq. 1: h = z * 10 / v

where: z = maximum tow depth (in meters)
v = volume of water filtered (in meters cubed)

Eq. 2: h = 100 / v

where: v = volume of water filtered (in meters cubed)

Sample sorting and identification of most samples was done at the Morski Instytut Rybacki in Szczecin, Poland. Samples were reduced to approximately 500 organisms by sub-sampling into aliquots with a modified box splitter. Zooplankton were sorted, counted, and identified to the lowest possible taxa. The number for each taxa identified was multiplied by the number of aliquots to estimate total sample abundance; which then was multiplied by one of the standard haul factors.

BCO-DMO Processing:
- reformatted date from dd-Mon-yy to yyyy-mm-dd
- added columns for year, month, day
- sorted all the data by year, then cruise_name, then station
- replaced taxon codes with taxon names
- replaced 97 NaN's in volume column with nd
- transposed taxon columns to rows

More information about this dataset deployment

Funding

Award Number	Funding Source
unknown EcoMon Zooplankton NOAA NEFSC	NMFS/Northeast Fisheries Science Center

Instruments

Bongo Net

Supplied Description:

Data were collected using 61cm diameter Bongo nets. (It is the same instrument and configuration as used during the U.S. GLOBEC Georges Bank studies 1995-1999). The net size during MARMAP was .333mm. After MARMAP. two net sizes were used: .333mm for zooplankton and .505mm for fish eggs and larvae. Tows were for a minimum of five (5) minutes to a maximum depth of 200 meters. If the water depth were less than 200m, then the tow was taken within 5 meters of the bottom. The trawl wire angle was maintained at 45 degrees. Samples were preserved in quart jars in 4 percent formaline.

During the MARMAP cruises, a 20cm Bongo was also towed during transecs, above the 61cm Bongo nets, with .165mm and .252mm nets. All frame aperatures had General Oceanic digital flow meters.

Instrument Type

Generic Name: Bongo Net

Community Identifier: http://vocab.nerc.ac.uk/collection/L22/current/NETT0009/

Generic Description:

A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete "known-depth" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear

Parameters

Supplied Name	Supplied description	Supplied Units	Standard Name
year	4 digit GMT year	unitless	year
cruiseid	Unique cruise identification made up of a 2 or 3 letter platform abreviation followed by a number; typically the 2 digit year followed by a 2 digit consecutive number starting at 01.	unitless	cruise_name
station	Cruise station number	unitless	station
zoo_gear	type of gear used to collect zooplankton samples	unitless	instrument
ich_gear	type of gear used to collect ichthyoplankton samples	unitless	instrument
lat	Latitude; north is positive	decimal degrees	lat
lon	Longitude; east is positive	decimal degrees	lon
date	GMT date in the format dd-mmm-yy	unitless	date
month	GMT month sample was taken	unitless	no_bcodmo_term
day	GMT day sample was taken	unitless	day
time	GMT time sample was taken	unitless	time
depth	Water depth	meters	depth_w
sfc_temp	surface temperature	degrees Celsius	temp
sfc_salt	surface salt	Practical Salinity Units (PSU)?	sal
btm_temp	bottom temperature	degrees Celsius	temp
btm_salt	bottom salt	Practical Salinity Units (PSU)?	sal
volume_100m3	volume of water filtered during tow?	cubic meters?	vol_filt
taxon	Taxon. Data were originally supplied using taxon abbreviations but these abbreviations were replaced by the taxon names; using an underscore to represent spaces.	unitless	taxon
count	Taxon abundance	taxon specimens/100 cubic meters	abundance

Database

Contribute Data

Dataset: EcoMon Plankton 100m3
Deployment: DL8309

Dataset acquisition description

Dataset Processing Description

Database

Contribute Data

Dataset: EcoMon Plankton 100m3Deployment: DL8309

Dataset acquisition description

Dataset Processing Description

Dataset: EcoMon Plankton 100m3
Deployment: DL8309