1b:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1c:T1216,

Experimental conditions and maintenance

Treatments were created in 8 tanks (Aqua Logic, San Diego), each holding 150 L of seawater and regulated independently for temperature, light, and pCO2.

Temperatures were maintained at 28.0°C, which corresponded to the ambient seawater temperature in the back reef when the study was conducted, and 30.1°C which is close to the maximum temperature in this habitat (Putnam and Edmunds 2011). pCO2 treatments contrasted ambient conditions (~ 408 micro-atm) and 913 micro-atm pCO2, with the elevated value expected to occur within 100 y under the "stabilization without overshoot" representative concentration pathway (RCP 6.0) (van Vuuren et al. 2011). pCO2 treatments were created by bubbling ambient air or a mixture of ambient air and pure CO2 that was blended continually and monitored using an infrared gas analyzer (IRGA model S151, Qubit Systems). A solenoid-controlled, gas regulation system (Model A352, Qubit Systems, Ontario, Canada) regulated the flow of CO2 and air, with pCO2 logged on a PC running LabPro software (Vemier Software and Technology). Ambient air and the elevated pCO2 mixture were supplied at ~ 10-15 L min-1 to treatment tanks using pumps (Gast pump DOA-P704-AA, see Edmunds 2011).

The temperatures and pCO2 levels created four treatments with two tanks treatment-1: ambient temperature-ambient pCO2 (AT-ACO2), ambient temperature-high pCO2 (AT-HCO2), high temperature-ambient pCO2 (HT-ACO2) and high temperature-high pCO2 (HT-HCO2). Treatment conditions were monitored daily, with temperature measured at 08:00, 12:00 and 18:00 hrs using a digital thermometer (Fisher Scientific model #150778, ± 0.05 °C), and light intensities at 12:00 hrs using a Li-Cor LI-193 sensor attached t 170 o a LI-1400 meter. Seawater within each tank was replaced at 200 ml/min with filtered seawater (50 micro-m) pumped from Cook’s Bay.

Carbonate chemistry and pH analysis

To evaluate dissolved inorganic carbon (DIC) conditions in the 8 tanks, total alkalinity (TA) and pH of the seawater were recorded every third day of the experiment. Seawater was collected between 07:00-09:00 hrs using stoppered glass bottles, equilibrated to room temperature (25.0°C), and processed within 2-3 hrs of collection. TA was determined using an open cell potentiometric titrator (Model T50, Mettler-Toledo, Columbus, OH) fitted with a DG115-SC pH probe (Mettler-Toledo, Columbus, OH) calibrated daily using NBS buffers (pH 4.00, 7.00 and 10.00, Fisher Scientific, 15-0787-8, ± 0.05 °C), and used to perform gran titrations using standard operating procedure 3 (SOP) of Dickson et al. (2007). Seawater pH was determined spectrophotometrically using the dye m-cresol purple (SOP 6b of Dickson et al. 2007), where pH was expressed on the total scale. The results of the gran titrations together with seawater salinity (YSI 3100 conductivity meter) and seawater temperature were used to calculate TA, pCO2, HCO3-, CO3 2- and aragonite saturation state (Omega) using CO2SYS (Lewis and Wallace 1998), with the constants of Mehrbach et al. (1973) and pH on the total scale.

To evaluate the accuracy and precision of TA analyses, certified reference materials (CRM, batch 105 from A. Dickson, Scripps Institution of Oceanography) were processed before each set of seawater samples. CRMs were evaluated with a mean error of 0.37% (~ 8 micro-mol kg-1, n = 11) relative to the certified values. The precision and accuracy of pH measurements were evaluated using standardized Tris buffers (Batch 5 from A. D 193 Dickson Laboratory, Scripps Institution of Oceanography) that were processed spectrophotometrically with m-cresol as described above. Percent average error from the known pH of the Tris buffer was 0.16% (0.01 pH units, n = 13).

Incubation schedule and dependent variables

On April 24th 2011, nubbins and cores were buoyant weighed (± 1 mg, Spencer-Davies 1989) and randomly placed in the mesocosm, with four taxa and two replicates per taxon in each tank. Over the following 24 h, seawater temperature and pCO2 were adjusted to target values. Corals remained in the treatments for 19 d, and were moved randomly within the tanks daily to eliminate position effects. Individual corals, along with the racks holding them, were cleaned every 5 d by wiping algal growth from walls of the tanks, racks, and PVC coral holders. On May 12th, the experiment ended and the corals were again buoyant weighed and the area of living tissue determined using aluminum foil (Marsh 1970).

1d:Ta3e,While coral reefs have undergone unprecedented changes in community structure in the past 50 y, they now may be exposed to their gravest threat since the Triassic. This threat is increasing atmospheric CO2, which equilibrates with seawater and causes ocean acidification (OA). In the marine environment, the resulting decline in carbonate saturation state (Omega) makes it energetically less feasible for calcifying taxa to mineralize; this is a major concern for coral reefs. It is possible that the scleractinian architects of reefs will cease to exist as a mineralized taxon within a century, and that calcifying algae will be severely impaired. While there is a rush to understand these effects and make recommendations leading to their mitigation, these efforts are influenced strongly by the notion that the impacts of pCO2 (which causes Omega to change) on calcifying taxa, and the mechanisms that drive them, are well-known. The investigators believe that many of the key processes of mineralization on reefs that are potentially affected by OA are only poorly known and that current knowledge is inadequate to support the scaling of OA effects to the community level. It is vital to measure organismal-scale calcification of key taxa, elucidate the mechanistic bases of these responses, evaluate community scale calcification, and finally, to conduct focused experiments to describe the functional relationships between these scales of mineralization. This project is a 4-y effort focused on the effects of Ocean Acidification (OA) on coral reefs at multiple spatial and functional scales. The project focuses on the corals, calcified algae, and coral reefs of Moorea, French Polynesia, establishes baseline community-wide calcification data for the detection of OA effects on a decadal-scale, and builds on the research context and climate change focus of the Moorea Coral Reef LTER. This project is a hypothesis-driven approach to compare the effects of OA on reef taxa and coral reefs in Moorea. The PIs will utilize microcosms to address the impacts and mechanisms of OA on biological processes, as well as the ecological processes shaping community structure. Additionally, studies of reef-wide metabolism will be used to evaluate the impacts of OA on intact reef ecosystems, to provide a context within which the experimental investigations can be scaled to the real world, and critically, to provide a much needed reference against which future changes can be gauged. Datasets listed in the "Dataset Collection" section include references to results journal publications published as part of this project.6:["$","$L1b",null,{"dataset":{"_id":"641759","description":"

Summary of conditions in the eight tanks assigned randomly to create four treatments of AT-ACO2.

Related Reference:
\nDarren Brown, Peter J. Edmunds. Differences in the responses of three scleractinians and the hydrocoral Millepora platyphylla to ocean acidification. Marine Biology, 2016 (in press).

Related Dataset:
\nMarBio. 2016: calcification and biomass

\n","problem":"","acquisition":"$1c","processing":"

BCO-DMO Processing:

- added conventional header with dataset name, PI name, version date, reference information
\n- renamed parameters to BCO-DMO standard
\n- added location, lat and lon columns

\n","bcodmoProcessing":"","title":"Tank seawater conditions from Coral/Temperature/pCO2 Experiments at LTER site in Moorea, French Polynesia, 2011 (OA_Corals project)","nickname":"MarBio. 2016: tank conditions","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"","version_date":"2016-04-04T04:00:00.000Z","abstract":"","citation":"Edmunds, P. (2016) Tank seawater conditions from Coral/Temperature/pCO2 Experiments at LTER site in Moorea, French Polynesia, 2011 (OA_Corals project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). Version Date 2016-04-04 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.641942 [access date]","citationParts":{"identifier":"doi:10.1575/1912/bco-dmo.641942","versionDate":"2016-04-04","versionId":"","year":"2016","title":"Tank seawater conditions from Coral/Temperature/pCO2 Experiments at LTER site in Moorea, French Polynesia, 2011 (OA_Corals project)","authors":"Edmunds, P.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.1575/1912/bco-dmo.641942","release_date":null,"field_dataset_location":"","temporal_extent":{"start":"2011-01-01T05:00:00.000Z","end":"2011-04-30T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1293858000","label":"2011-01-01"},"end":{"value":"1304136000","label":"2011-04-30"}},"spatial_extent":{"shape":"point","center":{"latitude":-17.4907,"longitude":-149.826},"wkt":" POINT (-149.826 -17.4907)","north":0,"east":0,"south":0,"west":0},"dataset_type":["experimental"],"keywords":["oceans"],"data_files":[{"id":"900931","title":"chem.csv","url":"https://datadocs.bco-dmo.org/dataset/641759/file/yppz413I6WBwKv/chem.csv","showTableUrl":"https://www.bco-dmo.org/dataset/641759/data/view/900931","description":"Primary data file for dataset ID 641759","filename":"chem.csv","bytesize":2260,"checksum":{"value":"a1aebf5aa9d8acd57dbd702a52963a4c","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"51536","name":"Peter J. Edmunds"},"performedAtOrganization":{"_id":"292","name":"California State University Northridge"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"523715","name":"Darren J Brown"},"performedAtOrganization":{"_id":"292","name":"California State University Northridge"}},{"role":{"_id":"133","name":"Contact"},"performedBy":{"_id":"523715","name":"Darren J Brown"},"performedAtOrganization":{"_id":"292","name":"California State University Northridge"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"50396","name":"Nancy Copley"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"640059","name":"MCR_Edmunds","synonyms":[],"dates":{"start":"2010-01-01T00:00:00.000Z","end":"2016-12-31T00:00:00.000Z"},"platform":{"_id":"54224","name":"Richard B Gump Research Station - Moorea LTER"},"chiefScientists":[]}],"funding":[{"_id":"54987","name":"OCE-0417412","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=0417412"},{"_id":"55110","name":"OCE-1041270","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1041270"},{"_id":"520630","name":"OCE-1026851","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1026851"}],"instruments":[{"_id":"641774","name":"","description":"YSI 3100 conductivity meter","type_id":"719","type_name":"Conductivity Meter","type_desc":"Conductivity Meter - An electrical conductivity meter (EC meter) measures the electrical conductivity in a solution. Commonly used in hydroponics, aquaculture and freshwater systems to monitor the amount of nutrients, salts or impurities in the water.","type_acronym":"Conductivity Meter"},{"_id":"641771","name":"","description":"150 L tanks","type_id":"494","type_name":"In-situ incubator","type_desc":"A device on a ship or in the laboratory that holds water samples under controlled conditions of temperature and possibly illumination.","type_acronym":"in-situ incubator"},{"_id":"641770","name":"","description":"4p LI-193 quantum sensor","type_id":"432","type_name":"LI-COR LI-193 PAR Sensor","type_desc":"The LI-193 Underwater Spherical Quantum Sensor uses a Silicon Photodiode and glass filters encased in a waterproof housing to measure PAR (in the 400 to 700 nm waveband) in aquatic environments. Typical output is in micromol s-1 m-2. The LI-193 Sensor gives an added dimension to underwater PAR measurements as it measures photon flux from all directions. This measurement is referred to as Photosynthetic Photon Flux Fluence Rate (PPFFR) or Quantum Scalar Irradiance. This is important, for example, when studying phytoplankton, which utilize radiation from all directions for photosynthesis. LI-COR began producing Spherical Quantum Sensors in 1979; serial numbers for the LI-193 begin with SPQA-XXXXX (licor.com).","type_acronym":"LI-COR LI-193 PAR"},{"_id":"641769","name":"","description":"LiCor LI-1400 meter","type_id":"703","type_name":"Light Meter","type_desc":"Light meters are instruments that measure light intensity. Common units of measure for light intensity are umol/m2/s or uE/m2/s (micromoles per meter squared per second or microEinsteins per meter squared per second). (example: LI-COR 250A)","type_acronym":"Light Meter"},{"_id":"641773","name":"","description":"Open cell potentiometric titrator (Model T50, Mettler-Toledo, Columbus, OH) fitted with a DG115-SC pH probe (Mettler-Toledo, Columbus, OH)","type_id":"682","type_name":"Titrator","type_desc":"Titrators are instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.","type_acronym":"Titrator"},{"_id":"641775","name":"","description":"Ultrasonic dismembrator (Fisher model 216 15-338-550; fitted with a 3.2 mm diameter probe, Fisher 15-338-67)","type_id":"528691","type_name":"ultrasonic cell disrupter (sonicator)","type_desc":"Instrument that applies sound energy to agitate particles in a sample.","type_acronym":""},{"_id":"641772","name":"","description":"","type_id":"647","type_name":"Water Temperature Sensor","type_desc":"General term for an instrument that measures the temperature of the water with which it is in contact (thermometer).","type_acronym":"Water Temp Sensor"}],"parameters":[{"_id":"641778","name":"location","format":"","frictionlessType":"","description":"

location of experiment

","units":{"_id":"","name":"unitless"},"type":{"_id":"1124","name":"site","description":"

Sampling site identification.

"}},{"_id":"641779","name":"lat","format":"","frictionlessType":"","description":"

latitude; north is positive

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"641780","name":"lon","format":"","frictionlessType":"","description":"

longitude; east is positive

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datsets as degrees, minutes

"}},{"_id":"641781","name":"tank","format":"","frictionlessType":"","description":"

tank number

","units":{"_id":"","name":"unitless"},"type":{"_id":"1992","name":"tank","description":"

Tank Number or Tank Id. Used to identify tanks/containers used in various experiments

"}},{"_id":"641782","name":"temp","format":"","frictionlessType":"","description":"

tank temperature: AT=ambient (28.0 C); HT=high (30.1 C)

","units":{"_id":"","name":"unitless"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"641783","name":"pCO2","format":"","frictionlessType":"","description":"

ambient (ACO2) and high (HCO2) CO2 concentration levels measured throughout the experiment

","units":{"_id":"","name":"unitless"},"type":{"_id":"1991","name":"pCO2","description":"

Partial pressure of carbon dioxide {pCO2} in the water body by computation from pH and alkalinity.

"}},{"_id":"641784","name":"treatment","format":"","frictionlessType":"","description":"

AT-ACO2 = ambient temperature; ambient CO2; AT-HCO2 = ambient temperature-high CO2; HT-ACO2 = high temperature-ambient CO2; HT-HCO2 = high temperature-high CO2

","units":{"_id":"","name":"unitless"},"type":{"_id":"489066","name":"treatment","description":"

Experimental conditions applied to experimental units. In comparative experiments, members of the complementary group, the control group, receive either no treatment or a standard treatment.

"}},{"_id":"641785","name":"pCO2_uatm","format":"","frictionlessType":"","description":"

pCO2 concentration levels measured weekly throughout the experiment per tank

","units":{"_id":"","name":"micro-atmospheres"},"type":{"_id":"1991","name":"pCO2","description":"

Partial pressure of carbon dioxide {pCO2} in the water body by computation from pH and alkalinity.

"}}],"related_publications":[],"related_datasets":[],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/641759/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/641759/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/641759/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/641759/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[{"_id":"2030","name":"Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA)","acronym":"SEES-OA"}],"projects":[{"_id":"2242","name":"RUI: Ocean Acidification- Category 1- The effects of ocean acidification on the organismic biology and community ecology of corals, calcified algae, and coral reefs","acronym":"OA_Corals","description":"$1d"}],"archives":[{"id_value":"10.1575/1912/bco-dmo.641942","url":"https://doi.org/10.1575/1912/bco-dmo.641942","date_assigned":"2016-04-11","version_date":"2016-04-04","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":118},"downloads":{"count":237}}},"fileId":"900931"}]