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Experimental study to estimate per capita sea urchin (Strongylocentrotus polyacanthus) grazing rates on the alga Clathromorphum nereostratum as a function of seawater temperature and pCO2 concentration from 2016-01-14 to 2016-02-04 (NCEI Accession 0292215)

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This dataset contains chemical and physical data collected from 2016-01-14 to 2016-02-04. These data include pCO2 and water temperature. The instruments used to collect these data include Aquarium chiller, Benchtop pH Meter, CO2 Analyzer, CO2 Coulometer, MARIANDA VINDTA 3C total inorganic carbon and titration alkalinity analyser, Mass Flow Controller, Salinometer, and Thermometer. These data were collected by Douglas B. Rasher of Bigelow Laboratory for Ocean Sciences, James Estes of University of California-Santa Cruz, and Robert S. Steneck of University of Maine as part of the "Ocean Acidification: Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests (OA Kelp Forest Function)" project and "Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA) (SEES-OA)" program. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2019-02-25.

The following is the text of the dataset description provided by BCO-DMO:

lab urchin grazing vs. temperature and pCO2

Dataset Description:
Estimates of per capita sea urchin ( Strongylocentrotus polyacanthus) grazing rates on the alga Clathromorphum nereostratum , evaluated as a function of seawater temperature and pCO2 concentration that each were simultaneously cultured in for three months. Incubations and assays were performed in a controlled mesocosm setting.
  • Cite as: Steneck, Robert S.; Estes, James A.; Rasher, Douglas B. (2024). Experimental study to estimate per capita sea urchin (Strongylocentrotus polyacanthus) grazing rates on the alga Clathromorphum nereostratum as a function of seawater temperature and pCO2 concentration from 2016-01-14 to 2016-02-04 (NCEI Accession 0292215). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0292215. Accessed [date].
gov.noaa.nodc:0292215
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Distributor NOAA National Centers for Environmental Information
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Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 2016-01-14 to 2016-02-04
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Spatial Coverage Map
General Documentation
Associated Resources
  • Biological, chemical, physical, biogeochemical, ecological, environmental and other data collected from around the world during historical and contemporary periods of biological and chemical oceanographic exploration and research managed and submitted by the Biological and Chemical Oceanography Data Management Office (BCO-DMO)
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  • Steneck, R., Estes, J., Rasher, D. (2019) Experimental study to estimate per capita sea urchin (Strongylocentrotus polyacanthus) grazing rates on the alga Clathromorphum nereostratum as a function of seawater temperature and pCO2 concentration. Biological and Chemical Oceanography Data Management Office (BCO-DMO). Dataset version 2019-02-13. https://doi.org/10.1575/1912/bco-dmo.755735.1
  • Parent ID (indicates this dataset is related to other data):
    • gov.noaa.nodc:BCO-DMO
Publication Dates
  • publication: 2024-05-02
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
Acquisition Description:
To evaluate whether rates of sea urchin grazing on C. nereostratum have changed or will change with ocean warming and acidification, we cultured C. nereostratum and S. polyacanthus under experimental conditions mimicking past, present, and predicted future levels of ocean temperature and pCO2 in the region, then followed this three-month culturing period with a controlled feeding experiment conducted under the same conditions. Small C. nereostratum colonies (~4-5 cm diameter) and large S. polyacanthus (~45-60 mm test diameter) were live collected from Adak in 2015 and immediately transported to the Northeastern University Marine Science Center in Nahant, Massachusetts. There, all specimens were acclimated to laboratory conditions at 8.5 °C for two weeks, after which individual C. nereostratum colonies were attached to the underside of plastic petri dishes using cyanoacrylate glue and then allowed to acclimate for an additional two weeks before being moved to experimental aquaria. Conditions were then incrementally modified to achieve target temperature and pCO2 levels (see below) over a one-week period. After reaching target conditions, each 42-L aquarium was dosed with 213 mL of calcein fluorescent dye (Western Chemicals Inc.), which was recirculated in the aquaria for three days and then flushed from the system. Coralline algae incorporate the dye into their skeleton, thus creating a distinct line that can be viewed via fluorescent microscopy to demark the region of new growth within each individual.

We employed four pCO2 conditions and three temperatures that, while factorially crossed, spanned pre-industrial, present-day, and projected year 2100 conditions (assuming an IPCC "business as usual" carbon emissions scenario; Pachauri and Meyer 2014). More extreme temperature (12.5 degrees C) and pCO2 (2800 micro-atm) conditions were also employed in the broader experiment but were not included in our experimental feeding assay because they are not predicted to occur until year 2500, or later. For each treatment, we set temperature to average summertime conditions, the time when ~75% of C. nereostratum growth occurs (Adey et al. 2013).

All treatments (4 pCO2 concentrations x 3 temperatures, fully factorial) were housed on individual shelves and consisted of three 42-liter acrylic aquaria and one 65-liter sump (n = 3 tanks/treatment). The aquaria were connected to a sump via a common overflow and return line but were each independently and continuously replenished with new seawater-thereby establishing them as true experimental replicates. The sump contained a filter box with a nylon mesh particle filter and activated carbon, a protein skimmer (Eshopps PSK-75), and a return pump, all of which was connected to a water chiller (Coralife ¼ HP). Filtered natural seawater was added via Darhor manual flow controllers at a rate of 50 mL/min/tank, resulting in full replacement of treatment water every ~21 hours-sufficiently fast to prevent material depletion of the dissolved constituents of the seawater yet slow enough to allow the mixed gases being sparged into the experimental treatments to approach equilibrium with the seawater. Mixed gases were sparged into each tank with 91 cm long flexible bubblers at the rate of ~1 L/min via Darhor needle-valve gas flow controllers. Two 12,000K LED light arrays (Ecoxotic Panorama, Pro 24V) were mounted above each tank and set to an irradiance that mirrored average summer daylight irradiance at 10 m depth in the Aleutian Islands (~258 micro-E m-2 s-1; 12 hr light:12 hr dark cycle).

Over the course of the four-month experiment, we measured pH (Accumet AB15 pH meter with Accufet solid state probe), salinity (YSI3200 meter with K=10 conductivity electrode and temperature probe), and temperature (NIST traceable red spirit glass thermometer) in each tank every Monday, Wednesday, and Friday. The pCO2 of the gas mixtures was measured with a Qubit S151 infrared CO2 analyzer and calibrated with certified mixed CO2 from Airgas Incorporated. Every 10 days, we characterized the full carbonate system chemistry of the experimental treatments from measured total alkalinity, dissolved inorganic carbon, temperature, and salinity. For this, seawater samples were obtained in 250 mL borosilicate ground-glass-stoppered bottles and immediately poisoned with 100 micro-L of saturated HgCl2 solution to halt biological activity (Dickson et al. 2007). Total alkalinity was measured via closed-cell potentiometric Gran titration and dissolved inorganic carbon was measured with a UIC 5400 Coulometer on a VINDTA 3C (Marianda Incorporated) using Dickson certified seawater reference material. Seawater pCO2, pH, carbonate ion concentration ([CO32-]) bicarbonate ion concentration ([HCO3-]), aqueous CO2, and calcite saturation state were calculated with the program CO2SYS (Lewis and Wallace 1998), using Roy and colleague’s (1993) values for the K1 and K2 carbonic acid constants, the Mucci (1983) value for the stoichiometric calcite solubility product, the seawater pH scale, and an atmospheric pressure of 1.015 atm.

At the beginning of the experiment we measured the buoyant weight of each specimen. We then scrubbed each specimen with a toothbrush and reweighed it every month and at the end of the experiment. With each weighing, we also photographed the specimen with a ruler and Reef Watch coral bleaching card in the field of view. We then measured the 2-d surface area (coralline algae) or test diameter (urchin) of the photographed specimens (Image J, NIH). Following a three-month incubation, a subset of the coralline algae was placed individually in cages and paired with a single urchin to quantify bioerosion rate under the different treatments, while the remaining algae were retained as experimental controls during the 20-day feeding experiment, and subsequently measured for skeletal density. Following the feeding experiment, all coralline algae were sectioned with a diamond lapidary saw (Inland Craft SwapTop 6.5" Diamond Trim Saw) and either frozen for genetic analysis or sectioned into 6 mm slices, rinsed in a series of two 90% Ethanol baths, and allowed to air dry for further examination of growth and skeletal density.

After three months of culturing C. nereostratum and large S. polyacanthus (mean test diameter ± SE = 53 ± 1 mm) under various temperature and pCO2 conditions (see above), we conducted a controlled feeding assay. Individual coralline algae were randomly paired with sea urchins from the same tank and placed into small cages (n = 5/tank, 15/treatment) and returned to aquaria, with the remaining coralline algae from each tank serving as controls. Buoyant weight measurements and photographs of each alga and urchin were obtained at the beginning of the experiment (as described above) and again every five days. We excluded replicates where: (i) the sea urchin appeared moribund or died during the assay; or (ii) negligible grazing occurred throughout the experiment, indicating severe stress to the animal. Buoyant weights were converted to dry weight (mg) using an empirically-derived conversion factor (linear regression: -0.117448 + 1.746361 * buoyant mass; adjusted R^2 = 0.9996; p < 0.001). To calculate the amount of C. nereostratum (mg CaCO3 dry weight) consumed by each urchin at each sampling interval while also accounting for the potential gain or loss of mass within the treatment alga, we used the equation [Ti x (Cf/Ci)] - Tf, where Ti and Tf is the initial and final mass (respectively) of an alga exposed to herbivory, and Ci and Cf is the initial and final mass (respectively) of its paired control. For this exercise, we averaged correction factors (Cf/Ci) for all control algae in a given tank, and applied this average correction factor to each treatment alga in the same tank. We then computed grazing rate (amount consumed/day) for each sea urchin, as well as per capita grazing rates standardized by the surface area of C. nereostratum.
Purpose This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Steneck, Robert S.; Estes, James A.; Rasher, Douglas B. (2024). Experimental study to estimate per capita sea urchin (Strongylocentrotus polyacanthus) grazing rates on the alga Clathromorphum nereostratum as a function of seawater temperature and pCO2 concentration from 2016-01-14 to 2016-02-04 (NCEI Accession 0292215). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0292215. Accessed [date].
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Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
BCO-DMO Standard Parameters Global Change Master Directory (GCMD) Science Keywords Originator Parameter Names
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Instrument keywords NODC INSTRUMENT TYPES THESAURUS BCO-DMO Standard Instruments Global Change Master Directory (GCMD) Instrument Keywords Originator Instrument Names
Project keywords BCO-DMO Standard Programs BCO-DMO Standard Projects Provider Funding Award Information
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Steneck, Robert S.; Estes, James A.; Rasher, Douglas B. (2024). Experimental study to estimate per capita sea urchin (Strongylocentrotus polyacanthus) grazing rates on the alga Clathromorphum nereostratum as a function of seawater temperature and pCO2 concentration from 2016-01-14 to 2016-02-04 (NCEI Accession 0292215). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0292215. Accessed [date].
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  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
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Processing Steps
  • 2024-05-02T19:12:04Z - NCEI Accession 0292215 v1.1 was published.
Output Datasets
Acquisition Information (collection)
Instrument
  • autonomous sensor to measure dissolved inorganic carbon (DIC)
  • carbon dioxide (CO2) gas analyzer
  • coulometer for DIC measurement
  • flow meter
  • pH sensor
  • salinometer
  • thermometer
Last Modified: 2024-05-31T18:50:46Z
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