| 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).
Pyrosome colonies for production and sinking experiments were collected from the upper 40 m of the water column using a vertically towed 202 µm net equipped with a 30 L non-filtering cod-end. Tows were preferentially conducted at night, as organisms exhibited distinct DVM behavior, which was possible during the Offshore cycle; however, for the transects we conducted, these tows were conducted whenever the ship arrived on station. For fecal pellet production experiments, colonies were gently transferred from the cod-end, ensuring that no air entered the common canal of the organism, and placed in an appropriately sized container (allowing the organisms to be submerged in typically ~500 mL, but we used containers of up to 1.5L for a handful of large specimens) filled with filtered 0.2 µm seawater for microscopic evaluation. Pellet production experiments were only conducted during the Offshore cycle and the two transects (CCT and AT), while fecal pellet sinking rate determinations were conducted during Onshore 2, Offshore, and one transect (CCT).
Fecal pellet production was measured following the methods described in Drits et al. (1992). Pyrosome colonies were transferred into containers filled with 0.2-µm-filtered seawater and placed under dissecting microscopes to visualize their common cloacal aperture. The number of fecal pellets produced was counted during continuous observations over 2 min. Initially, we observed colony defecation for 1 to 7 min while determining the count period length. Since we observed a noticeable decrease in production over time, beginning after the first ~2-3 minutes, as noted by Drits et al. (1992), we conducted counts for 2 min immediately after transferring the colonies into the observation container. Pellet counts were recorded cumulatively at each observation time point, with each time value representing elapsed observation time in minutes. Interval-specific pellet production was then calculated as the difference between consecutive cumulative counts. For example, the number of pellets produced between Time 1 and Time 2 was calculated by subtracting the cumulative pellet count at Time 1 from the cumulative count at Time 2. Therefore, pellet production values represent the number of pellets produced during each elapsed observation interval, rather than the total number present at each time point. After the production experiments were concluded, pellets were collected for sinking and aging experiments. A subsample of the produced pellets was allowed to sit in natural seawater for 24 and 48 hours and evaluated for sinking rates; these were referred to as ‘aged’ pellets.
Max_Pellets is the value that represents the most pellets produced in one minute of the 1-7 minute production experiments. Min_pellets is the value that represents the least amount of pellets produced in one minute of the 1-7 minute production experiments. max and min pellets per hour are Max_pellet values or min_pellet value multiplied by 60 minutes.
- Loaded Cawleyetal_2026_PelletProduction.csv with empty and "nd" values interpreted as missing data
- Renamed columns to remove spaces and use underscores
- Output table to 1003881_v1_productionmeasurements.csv
| File |
|---|
1003881_v1_productionmeasurements.csv (Comma Separated Values (.csv), 12.56 KB) MD5:4bbe5c49c72ba494e4f714d807dfea70 Primary data file for dataset ID 1003881, version 1 |
| Parameter | Description | Units |
| Cycle | Sampling cycle identifier | unitless |
| Date | Date of incubation experiment | unitless |
| Incubation | Incubation experiment identifier | unitless |
| Pyrosome_number | Specimen tracking identifier; ? indicates uncertain specimen identity but does not affect production measurements | unitless |
| Time_1 | Elapsed observation time at each cumulative pellet count | min (minutes) |
| Pellets_1 | Cumulative number of pellets produced up to each observation time | unitless |
| Pellets_Per_Time_1 | Number of pellets produced during each observation interval ending at the corresponding time point | unitless |
| Time_2 | Elapsed observation time at each cumulative pellet count | min (minutes) |
| Pellets_2 | Cumulative number of pellets produced up to each observation time | unitless |
| Pellets_Per_Time_2 | Number of pellets produced during each observation interval ending at the corresponding time point | unitless |
| Time_3 | Elapsed observation time at each cumulative pellet count | min (minutes) |
| Pellets_3 | Cumulative number of pellets produced up to each observation time | unitless |
| Pellets_Per_Time_3 | Number of pellets produced during each observation interval ending at the corresponding time point | unitless |
| Time_4 | Elapsed observation time at each cumulative pellet count | min (minutes) |
| Pellets_4 | Cumulative number of pellets produced up to each observation time | unitless |
| Pellets_Per_Time_4 | Number of pellets produced during each observation interval ending at the corresponding time point | unitless |
| Max_Pellets | Maximum number of pellets produced across intervals | unitless |
| pellets_per_hour_max | Maximum hourly pellet production rate | pellets per hour |
| Min_Pellets | Minimum number of pellets produced across intervals | unitless |
| pellets_per_hour_min | Minimum hourly pellet production rate | pellets per hour |
| Length_cm | Length of pyrosome specimen | cm (centimeter) |
| Dataset-specific Instrument Name | Salp Net |
| Generic Instrument Name | Reeve Net |
| Dataset-specific Description | Reeve net (Salp Net) - 202 µm net equipped with a 30 L non-filtering cod-end |
| Generic Instrument Description | A Reeve Net is a conventional ring net with a very large acrylic cylindrical cod-end (30 liters) designed to collect fragile gelatinous animals. The net is lowered to a particular depth and then hauled slowly back to the surface (5-10 m/min). Reeve (1981) also described a double net system with no bridle and flotation at the net mouth that is attached to a roller mechanism that rides on a tow wire.
The roller system is locked in place by a pressure release device. Once below a set pressure, the roller
and nets are released and they float slowly up the wire, gently collecting the zooplankton, without being
influenced by the motion of the vessel and associated vertical wire movements. (from Wiebe and Benfield, 2003) |
| 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) |