| Contributors | Affiliation | Role |
|---|---|---|
| Barbeau, Katherine | University of California-San Diego Scripps (UCSD-SIO) | Principal Investigator |
| Decima, Moira | University of California-San Diego Scripps (UCSD-SIO) | Principal Investigator |
| Llopis Monferrer, Natalia | Université de Bretagne Occidentale | Scientist |
| Matthews, Stephanie | University of California-San Diego Scripps (UCSD-SIO) | Scientist |
| Cawley, Grace | University of California-San Diego Scripps (UCSD-SIO) | Student, Contact |
| Padilla Villa, Minerva | University of California-San Diego Scripps (UCSD-SIO) | Student |
| Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Samples were collected on CCE-NSF process cruise (OCE-1637632, Project: California Current Ecosystem Long Term Ecological Research Site).
Pyrosomes were collected for abundance and size-structure estimates using a double-oblique tow with a Bongo frame equipped with paired 202 μm nets, a temperature-depth logger, and a General Oceanics flow meter affixed to the Starboard net. Bongo tows were conducted twice daily for day and night sampling, at approximately 1000 h and 2200 h, following standard CalCOFI protocols (Bowlin et al. 2009). The average tow time (± SD) was 23 ± 3 min, the average depth of sampling was 206 ± 14 m, and the average volume filtered was 290 ± 28 m3. Upon retrieval, the cod-end contents of the starboard net were gently transferred to a bucket and anesthetized with carbonated water to prevent regurgitation of gut contents (Kleppel and Pieper 1984). All pyrosomes were removed from the tow and rinsed to remove any hitchhiking zooplankton. The pyrosomes were then imaged, counted, and split into the respective subsamples. Depending on which pyrosomes were measured, the split factor accounts for the fraction or the whole percentage that the counts, and thus the lengths, represent of the tow.
Pyrosomes were carefully removed and rinsed with filtered seawater to remove any attached zooplankton, placed in a black bin equipped with a ruler, and imaged from above with an iPhone, ensuring a ruler was included in the image (n=1384 to the nearest mm). Images were reported in cm, but our resolution allowed the measurement to the nearest mm, using the ruler in the image. Images were used to quantify population size-structure using ImageJ.
* Imported the file and treated blank cells and “nd” as missing values.
* Converted the Date column from M/D/YY format to the standard ISO date format YYYY-MM-DD.
* Unpivoted the "Total Pyrosome Lengths" column and all numbered columns matching pattern "(N)" into a single "pyrosome_length" value column, creating a new "pyrosome_index" key column indicating which original column each value came from (0 for "Total Pyrosome Lengths", otherwise the number in parentheses) into long format & filtered out rows where pyrosome_length was null (unnecessary rows after unpivot, original data didn't always have the same amount of measurements.)
* Exported the cleaned and standardized tables as CSV files.
| File |
|---|
1003320_v1_pyrosomes_count_length.csv (Comma Separated Values (.csv), 93.20 KB) MD5:866c1a3c387ad327ee95ec4465e4a380 Primary data file for dataset ID 1003320, version 1 |
| File |
|---|
haul_summary.csv (Comma Separated Values (.csv), 2.83 KB) MD5:da826a7dad7876649eaeacf90baeea1e This table contains counts and summary information for the bongo net tows. The Haul column identifies the tow in this summary table and main dataset table.Haul depth is estimated based on wire out and sustained angle (210 meters).Parameter descriptions:Column Name,Description,Units,Missing Data IdentifierSTALINE,Cruise Identifier,unitless,Cycle,4-5 day sampling location period,unitless,Day,Day within sampling location,unitless,Haul,Sequential tow number for all bongo net tows,unitless,Date,Date of sampling event,unitless,Latitude,Latitude of sampling location,decimal degrees,Longitude,Longitude of sampling location,decimal degrees,STB Volume Water Strained (m3),Volume of water filtered by net,m3,Count,Number of pyrosomes counted in the subsample (see Fraction Represented column).,# of pyrosomes,Fraction Represented,"Subsample fraction of the total sample from one bongo net in the tow. Example: '2' represents 200% of the sample (when using second bongo net in tow not just one), or '.25' means 25% of one bongo net sample. All pyrosomes in the subsample were counted and measured (lengths reported in the main data table of this dataset).",unitless,Depth,Average tow depth. Haul depth is estimated based on wire out and sustained angle (210 meters).,m, |
| Parameter | Description | Units |
| STALINE | Cruise Identifier | unitless |
| Cycle | 4-5 day sampling location period | unitless |
| Day | Day within sampling location | unitless |
| Haul | Sequential tow number for all bongo net tows | unitless |
| Date | Date of sampling event | unitless |
| Latitude | Latitude of sampling location | decimal degrees |
| Longitude | Longitude of sampling location | decimal degrees |
| pyrosome_index | Sequential number for the pyrosome in the bongo net subsample that was counted and measured. See haul summary table for fraction of total sample from which pyrosome counts and lengths are reported here. | unitless |
| pyrosome_length | Measured lengths of counted pyrosomes in the bongo net subsample. See haul summary table for fraction of total sample from which pyrosome lengths are reported here. | cm |
| Dataset-specific Instrument Name | |
| Generic Instrument Name | Bongo Net |
| Dataset-specific Description | Bongo net with 202-µm mesh to collect pyrosomes and other zooplankton |
| Generic Instrument 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 |
| Dataset-specific Instrument Name | General Oceanics |
| Generic Instrument Name | Flow Meter |
| Dataset-specific Description | General Oceanics flow meter to measure volume filtered |
| Generic Instrument Description | General term for a sensor that quantifies the rate at which fluids (e.g. water or air) pass through sensor packages, instruments, or sampling devices. A flow meter may be mechanical, optical, electromagnetic, etc. |
| Website | |
| Platform | R/V Roger Revelle |
| Start Date | 2021-07-13 |
| End Date | 2021-08-13 |
| Description | California Current Ecosystem Long Term Ecological Research Process Cruise, CCE LTER III. Also referred to as "P2107".
See more information from R2R: https://www.rvdata.us/search/cruise/RR2105 |
NSF Award Abstract:
A key component of the ocean food web is comprised of floating animals, or zooplankton, that transfer energy from phytoplankton to fish, whales, and birds. Zooplankton include many different types of organisms that can be broadly categorized as crustacean or gelatinous, with most fish and whales preferring crustaceans as a fat-rich food source over gelatinous animals, which are higher in water content. Historically, the California Current ecosystem off the U.S. West Coast has been dominated by crustacean zooplankton, such as krill and copepods, but in 2014 there were huge abundances of a type of colonial, gelatinous zooplankton known as pyrosomes, which caused widespread damage to fisheries by fouling fishing gear and dominating catch. Although the arrival of pyrosomes coincided with an extensive marine heatwave, lower abundances have since persisted despite a return to cooler ocean temperatures. Analysis of time series data from the California Cooperative Oceanic Fisheries Investigations (CalCOFI) indicate that pyrosomes were also observed in the California Current many decades ago when the ocean was not particularly warm. This study combines analysis of past samples from CalCOFI, ocean circulation models, and biological models to understand the causes of these quickly growing pyrosome populations in the California Current. It supports training for undergraduate and graduate students. In addition, the project is reaching K-12 students through a unique partnership with the San Diego County Office of Education that is developing Next Generation Science Standards (NGSS)-aligned resources for middle and high school science teachers in California. The educational resources are being disseminated through the California Science Project and California Environmental Literacy Initiative. Public outreach in San Diego (CA) is through the Enhancing Your Horizons San Diego conference and the San Diego Regional Competition of the National Ocean Sciences Bowl, and in Santa Cruz (CA) through the Seymour Marine Discovery Center.
Predicting how ecosystems respond to accelerating climate change is a major challenge. The recent appearance of the pyrosome Pyrosoma atlanticum in the California Current is a major perturbation to the ecosystem, and the cause remains unknown. Both ocean physics and plankton food-web dynamics are key determinants of variability in pelagic community composition in this ecosystem, yet unraveling the degree to which variability in physics (through warming and advection) combines with shifting biological interactions (through nutrient cycling and altered food-web dynamics) to determine composition and function is complicated. This project combines the analysis of past historical samples from seven decades of the CalCOFI time series, data-assimilative and non-data assimilative ocean circulation models, and biological population models to determine the role ocean physics and biological interactions have played in shaping pyrosome abundance, trophic dynamics, and population growth and mortality in the California Current. This novel framework is providing mechanistic understanding that is required to predict how plankton communities respond to climate change.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) | |
| NSF Division of Ocean Sciences (NSF OCE) |