Species composition from net tows and associated CTD data from a small boat in the Mid-Chesapeake Bay from August to October 2013 (CopesPopDynHypoZone project)

Website: https://www.bco-dmo.org/dataset/723801
Data Type: Cruise Results
Version:
Version Date: 2018-01-12

Project
» Copepod Population Dynamics in Hypoxic Coastal Waters: Physical and Behavioral Regulation of Resupply and Advective Losses (CopesPopDynHypoZone)
ContributorsAffiliationRole
Roman, Michael R.University of Maryland Center for Environmental Science (UMCES/HPL)Principal Investigator
Pierson, James J.University of Maryland Center for Environmental Science (UMCES/HPL)Co-Principal Investigator, Contact
Fitzgerald, CatherineUniversity of Maryland Center for Environmental Science (UMCES/HPL)Contact
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Coverage

Spatial Extent: N:38.48245 E:-76.35638 S:38.45012 W:-76.43992
Temporal Extent: 2013-08-02 - 2013-10-04

Dataset Description

This dataset includes species composition data from plankton net samples and associated CTD information.

Related Datasets:
Acartia tonsa mortality with CTD data: 5 daytrips


Methods & Sampling

This abundance and diversity data was obtained from several ~8 hour small-boat cruises done about every other week from August to October. Vertical tow samples were taken from the mid-bay of the Chesapeake from several stations in a transect, corresponding to the mid-line transect sampled by the two week-long cruises (stations M1-M3, cruises 1301/1302). More stations along the same transect were included in the collection of this data set.

The plankton nets used for sampling were 0.5m in diameter and made of either 200µm or 64µm mesh. These were equipped to close with a mechanical messenger trigger and were deployed from the winch arm of the R/V Parker.

A CTD cast was done at each station prior to sampling with the plankton net. Sampling depths were determined based on the location of the pycnocline; the aim was to capture zooplankton below and above the pycnocline. For sampling below the pycnocline, the net was deployed below the pycnocline, towed up to the pycnocline, triggered to close, and returned to the surface. Sampling above the pycnocline was done by standard vertical tow: deploy net to desired depth and winch to the surface.

Once brought on board, the nets were rinsed down with to seawater to collect plankton in the codend. Codends were filtered onto 64µm sieves, then the samples were transferred to glass jars labeled on the lid with the date, time, station, and depth sampled. Sieves with 64µm mesh were selected to catch all life stages of the copepod Acartia tonsa since Acartia tonsa eggs are about 75µm in diameter and all subsequent life stages are larger. Buffered formalin was added to each jar to preserve the sample in a 4% solution.

After returning from the cruises, samples were stored indoors in climate-controlled laboratory space. To process the samples, the contents of the jars were filtered onto 25µm mesh (to avoid loss of organisms), resuspended, and a subsample taken with a stemple pipette was transferred to a counting wheel where it was checked for density and diluted if necessary, the goal being at least 200 individuals of Acartia tonsa present but less than 300.

The sample was then examined for species composition under dissecting microscope with darkfield illumination. All organisms were identified to lowest possible taxonomic level. When species composition analysis was complete, the sample was returned to the original glass jar and returned to storage.

Abundance data were entered into Excel spreadsheets and checked for transcription errors, then imported into MatLab for data analysis.


Data Processing Description

Zooplankton samples were sorted under a stereo dissecting microscope within one year of collection. Sub-samples were taken with a pipet such that a minimum of 200 individuals were counted from each sample. Zooplankton were identified to lowest possible taxonomic level, to species where possible for copepods, and copepod adults were sexed. 

BCO-DMO Data Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- replaced commas with semicolons
- changed blank cells and NaN's with nd for 'no data'
- converted longitudes to negative degree (west)
- split Net_mesh and Tow into separate columns


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Data Files

File
species_composition.csv
(Comma Separated Values (.csv), 115.04 KB)
MD5:b3192efbc24c03b932f2bbc8d95bf509
Primary data file for dataset ID 723801

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Parameters

ParameterDescriptionUnits
cruiseChronological cruise number used to refer to each day-long cruise unitless
dateGergorian calendar date as recorded in the cruise log formatted as mm/dd/yyyy unitless
timeTime of sampling in EDT as recorded in the cruise log formatted as hhmm unitless
EDT_DOYDay of year calculation using cruise log EDT time decimal day
StationStation ID as recorded in the day-cruise log unitless
Lateral_stationStation ID as given in the Lateral Copepods week-long cruises unitless
Net_mesh_umNet mesh size (64 or 200 micron) microns
Towplankton tow cast identifier unitless
Low_depthThe lowest depth of the range sampled meters
High_depthThe highest depth of the range sampled meters
GenusGenus or least specific identifier of organism in sample unitless
SpeciesSpecies or most specific identifier of organism in sample unitless
StageLife stage of organism in sample unitless
Num_in_aliquotTaxon count per aliquot individuals
Num_per_m3Taxon abundance individuals/meter^3 (#/m^3)
Abund_m2Taxon abundance integrated of the depth column individuals/meter^2 (#/m^2)
NotesNotes from the technician made during sampling and sample processing unitless
LatitudeStation latitude decimal degrees
LongitudeStation longitude decimal degrees
YearYear as recorded by CTD as yyyy unitless
MonthMonth as recorded by CTD as mm unitless
DayDay as recorded by CTD as dd unitless
GMT_HourHour as recorded by CTD; GMT time as hh unitless
MinuteMinute as recorded by CTD as mm unitless
SecondSecond as recorded by CTD as ss unitless
GMT_DOYDay of year calculation using CTD recorded GMT time for each cast decimal day
prSMPressure as recorded by CTD sensor for each cast decibars
t090CTemperature recorded by CTD sensor for each cast degrees Celsius
c0S_mCondictivity recorded by CTD sensor for each cast microSiemens/meter (uS/m)
sbeox0VRaw oxygen measurements as recorded by CTD sensors for each cast volts
wetStarFluorescence measure as recorded by WETStar fluorometer on CTD for each cast volts?
obsOptical backscatter as recorded by CTD sensor for each cast volts?
batBeam attenuation as recorded by SBE software per meter
xmissBeam transmission as recorded by SBE software unitless
sbeox0Mg_LDissolved oxygen calculated in SEB post-processing from oxygen data recorded by CTD sensors for each cast milligrams/liter (mg/L)
sbeox0PSDissolved oxygen pressure saturation calculated in SEB post-processing from oxygen data recorded by CTD sensors for each cast unitless
sigma_t00Density recorded by CTD sensors for each cast ?
depSMDepth bins; one bin per half meter and then averaged over the depth range of each net cast meters
sal00Salinity recorded by CTD sensor for each cast Practical Salinity Units (PSU)
nbinNumber of measures per depth bin; averaged per net depth range unitless
flagFlag for abberant data unitless


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Instruments

Dataset-specific Instrument Name
SBE 9plus
Generic Instrument Name
CTD - profiler
Dataset-specific Description
Used for sampling; There were twelve Niskin bottles on the SBE 32 Carousel Water Sampler, deployed from the starboard winch of the RV Sharp, along with the SBE 9plus unit which was attached to the rosette. Attached to an SBE 11plus V2 Deck Unit
Generic Instrument Description
The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934.

Dataset-specific Instrument Name
0.5m plankton net
Generic Instrument Name
Plankton Net
Dataset-specific Description
Used to collect live zooplankton. The plankton net was 0.5m in diameter and made of 64µm mesh, equipped to close with a mechanical messenger trigger, and was deployed from the winch arm of the R/V Parker.
Generic Instrument Description
A Plankton Net is a generic term for a sampling net that is used to collect plankton. It is used only when detailed instrument documentation is not available.

Dataset-specific Instrument Name
Dissecting microscope
Generic Instrument Name
Microscope - Optical
Dataset-specific Description
Used to count live and dead copepods.
Generic Instrument Description
Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope".


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Deployments

HPL_2013-08-02

Website
Platform
small boat: UMCES
Start Date
2013-08-02
End Date
2013-08-02
Description
Day trip to collect zooplankton

HPL_2013-08-16

Website
Platform
small boat: UMCES
Start Date
2013-08-16
End Date
2013-08-16
Description
Day trip to collect zooplankton.

HPL_2013-09-06

Website
Platform
small boat: UMCES
Start Date
2013-09-06
End Date
2013-09-06
Description
Day trip to collect zooplankton

HPL_2013-09-20

Website
Platform
small boat: UMCES
Start Date
2013-09-20
End Date
2013-09-20
Description
Day trip to collect zooplankton.

HPL_2013-10-04

Website
Platform
small boat: UMCES
Start Date
2013-10-04
End Date
2013-10-04
Description
Day trip to collect zooplankton.


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Project Information

Copepod Population Dynamics in Hypoxic Coastal Waters: Physical and Behavioral Regulation of Resupply and Advective Losses (CopesPopDynHypoZone)

Coverage: hypoxic zone of Chesapeake Bay


Description from NSF award abstract:
The PIs will develop a mechanistic understanding of how circulation interacts with hypoxia-induced behavioral and physiological changes to affect the population dynamics of coastal zooplankton. They will do this by assessing two potentially contrasting mechanisms influencing the dynamics of the copepod Acartia tonsa in the hypoxic zone of Chesapeake Bay. The first hypothesis is that maintenance of copepod populations in the hypoxic region requires replenishment by advection (immigration) of animals through wind-driven lateral transport processes. The second, counteractive, hypothesis is that bottom water hypoxia alters the vertical distribution of A. tonsa, thereby making them more susceptible to advective losses from the region (emigration) via surface water transport in the estuarine circulation. They will take advantage of a current NSF-funded physical oceanography research program in Chesapeake Bay that will comprehensively measure and model axial and lateral water exchanges in the mid-Bay region.

The present study will use the physical oceanography study site as a Controlled Volume (CV) in which the oceanographic exchanges of water and the driving mechanisms for those exchanges will be well defined. The PIs will conduct high-resolution spatial and temporal sampling of zooplankton and combine the data with measurements of copepod behavior, mortality and egg production in the hypoxic region. They will use an improved Individual-Based Model of the life history of A. tonsa coupled with the circulation to explore the combined effects of advection, behavior, egg production, and mortality on population dynamics. In addition to increasing our knowledge of the impacts of bottom water hypoxia on copepod populations in Chesapeake Bay, the study will improve our general understanding of the regulation of zooplankton populations by physical and biological processes and the impacts of hypoxia on secondary production and food webs in coastal waters.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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