Contributors | Affiliation | Role |
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Carpenter, Robert | California State University Northridge (CSUN) | Principal Investigator |
Edmunds, Peter J. | California State University Northridge (CSUN) | Principal Investigator |
Doo, Steve | California State University Northridge (CSUN) | Scientist |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
See "Related Datasets" and "Supplemental Files" sections for access to related data published as part of these pCO2 flume experiments published in Edmunds et al., (2020, doi:10.1093/icesjms/fsaa015).
Related metabolism data was published in Edmunds et al. (2024, doi:10.1002/lno.12504).
Fore reef communities were assembled in three outdoor flumes in Mo'orea, which were assigned randomly to a pCO2 treatment targeting ambient (400 μatm), 700 μatm, and 1300 μatm pCO2. The elevated pCO2 treatments approximated atmospheric conditions projected for about the year 2140 under representative concentration pathways (RCP) 2.6, 4.5, and 8.5. Treatments were maintained for one year beginning in late Austral spring (November 2017), and actual pCO2 treatments over the year differed from target values (described below). In brief, each flume consisted of a working section that was 5.0-m long, 30-cm wide and filled to ~ 30-cm depth with ~ 500 L of seawater. The fixed and unfixed communities within each fume occupied a 4.7 × 0.3 m portion of the floor of the working section of each flume. Seawater was circulated continually through a return section, and was supplied with fresh seawater at ~ 5 L min-1. Seawater was pumped from Cook’s Bay (14-m depth) and filtered through sand (pore size ~ 450–550 µm) before entering the flumes. With this pore size, small particulates passed through the filter and were added to the flumes where they were available as food for heterotrophic organisms.
Fore reef communities:
The reef communities were assembled to correspond to the mean percent cover of the major benthic space holders recorded in 2006 at 17-m depth on the fore reef of the north shore of Mo'orea. A historic community structure (rather than present day) was used because 2006 represented the long-term community structure on this reef, and it created the capacity to compare aspects of the present experiment with a previous experiment. Based on six sites sampled around Mo'orea in 2006, the community structure in the flumes was targeted to ~ 11% cover of Pocillopora spp., ~ 8% massive Porites spp., 8% Acropora spp., and ~ 53% reef rock. This construct created a community with ~ 27% coral cover, which was slightly lower than the actual mean coral cover in 2006 (32%), because the remaining 14 genera of scleractinians and Millepora contributed 5% coral cover. The Pocillopora conformed to the classic morphology of P. verrucosa, but it is likely that other Pocillopora spp. were present in the flumes. Likewise, Acropora spp. were selected to represent A. hyacinthus and A. retusa, which were common on the fore reef when the experiment was completed, and colonies of these species were scattered haphazardly among the flumes. Given the morphological complexity of Acropora spp., it is possible that other species were placed into the flumes. Pieces of coral rubble (~ 11.5-cm diameter) were added to achieve ~ 29% cover. Coral and rubble were haphazardly scattered along the working section of each flume to approach the targets for percentage cover, and this resulted in portions of the flumes having slightly different covers of coral. This was important for the central 2.4-m portion of the flume, where community members were fixed to allow the community structure to be quantified monthly using planar photographs. In the adjacent portions of the flumes, community members were unfixed (and rested on the floor of the flumes) so that they could be removed monthly for buoyant weighing (described below). See related dataset "Edmunds et al. 2020 ICES: pCO2 flume - Coral area" https://www.bco-dmo.org/dataset/924650.
Corals and rubble were collected from ~ 17-m depth on the north shore fore reef, epoxied (Z-Spar A788, Pettit Marine Paint, Rockaway, NJ, USA) to plastic bases, and placed in a seawater table for at least 2 d before being added to the flumes. This time allowed the epoxy to cure and for the corals to recover from collection. Fore reef communities were assembled in the flumes on 27 October 2017, where they were maintained under ambient seawater conditions until 3 November. At this time, treatment pCO2 levels were initiated in two flumes (one remained at ambient pCO2), with pCO2 gradually increased to target values over 24 h.
Physical and chemical parameters (see "Supplemental Files" for data access):
Seawater was circulated in the flumes at ~ 0.1 m s-1 using a pump (Wave II 373 J s-1, W. Lim Co., El Monte, CA, USA), and flow speeds were measured across the working sections using a Nortek Vectrino Acoustic Doppler Velocimeter. This flow speed was ecologically relevant for 15-m depth on the fore reef of Mo’orea (14-y mean = 0.065 m s-1). The flumes were exposed to natural sunlight that was reduced with a blue filter (LEE #183, Lee Filters, Andover, England) to photon flux densities (PFD) in the range of photosynthetically active radiation (400–700 nm) that approximated those at 17-m depth. Light in the flumes was measured continuously (at 0.0006 Hz) using cosine-corrected sensors (Odyssey, Dataflow Systems Ltd, Christchurch, New Zealand) that recoded PAR. Odyssey sensors were calibrated with a Li-COR meter [LI-1400, Li-COR Biosciences, Lincoln, NE, USA] attached to a 2p sensor [LI 192A]). Temperatures in the flumes were regulated with chillers (heaters were not required) and were maintained close to the mean monthly seawater temperature at 17-m depth on the fore reef.
Seawater carbonate chemistry was uncontrolled in one flume (ambient, ~ 400 μatm pCO2), and controlled in two others to simulate conditions arising from seawater pCO2 targeted at 700 μatm and 1300 μatm. Seawater pH was not altered in the ambient flume, but was controlled in the treatment flumes by bubbling CO2 into the seawater to alter pH relative to a set-point (regulated using an Aquacontroller, Neptune Systems, Morgan Hill, CA, USA) that operated a solenoid supplying pure CO2 gas to a diffuser stone submerged in each flume. A diurnal upward pH adjustment of ~ 0.1 unit was applied to the two treatment flumes to simulate natural diurnal variation in seawater pCO2 on the reef of Mo’orea. The ambient flume also maintained a diurnal variation in pCO2 with a night time pH ~ 0.1 unit lower than in the daytime. Ambient air was bubbled continuously into all flumes. Periodic measurements of pCO2 in the flumes confirmed that nocturnal pCO2 met, or exceeded day-time target values (described in results publication Edmunds et al., 2020).
Throughout the experiment, logging sensors (described above) recorded PAR, and temperature (Hobo Pro v2 [± 0.2 °C], Onset Computer Corp., Bourne, MA, USA). pH was measured daily on the total hydrogen ion scale (pHT) using a handheld meter (see below). The values from the temperature and pH measurements were used to adjust the thermostat and pH-set points to achieve target pCO2 values. Seawater carbonate chemistry (pH and AT) and salinity were measured during the day (14:00 hrs) and night (20:00 hrs) and were obtained weekly. A bench-top conductivity meter (Thermo Scientific, Orionstar A212, Waltham, MA, USA) was used to measure salinity. The remaining parameters of the seawater carbonate system were calculated from temperature, salinity, pHT, and AT, using the R package Seacarb.
pHT was measured using a DG 115-SC electrode (Mettler Toledo, Columbus, OH, USA) that was calibrated with a TRIS buffer. AT was measured using open-cell, acidimetric titration using a certified titrant with an automatic titrator (T50, Mettler Toledo) fitted with a DG 115-SC electrode (Mettler Toledo). The accuracy and precision of measurements were determined by processing certified reference materials (CRMs batch numbers 158 and 172; from A. Dickson Laboratory, Scripps Institution of Oceanography, CA, USA), against which measured values of AT maintained an accuracy of 1.7 ± 0.3 μmol kg-1 (n = 15) and precision of 1.8 ± 0.1 μmol kg-1 (n = 475).
Response variables:
* The "Weight" column in this dataset is the dry weight (mass) discussed in the below section which also discusses how Gnet was calculated using the dry weight.
Net changes in mass (Gnet) of corals in the unfixed portion of the community were measured every month by buoyant weighing (accuracy of ± 1 mg CaCO3). The fixed community members were bouyant weighed at the start and the end of the experiment. Buoyant weight was converted to dry weight of CaCO3 using empirical seawater density (~1.02278 g cm-3) , the density of pure aragonite (2.93 g cm-3, corals), and Archimedes Principle (Davies 1989). As the area of tissue changed throughout the year as a result of growth and partial mortality, the change in mass could not be expressed on an area-normalized scale. Gnet at each time therefore was expressed as the percentage change in dry mass relative to the initial dry mass in November 2017 (see Edmunds et al, 2020).
Community structure:
The effects of the treatments on the community structure were described using photographs recorded monthly in planar view. See more details and files in related dataset "Edmunds et al. 2020 ICES: pCO2 flume - Coral area" https://www.bco-dmo.org/dataset/924650.
Organism identifiers (Taxon, LifeSciences Identifier (LSID), name as appears in Species column):
Acropora hyacinthus, urn:lsid:marinespecies.org:taxname:207044, A. hyacinthus
Acropora retusa, urn:lsid:marinespecies.org:taxname:430653, A. retusa
Porites, urn:lsid:marinespecies.org:taxname:206485, Massive Porites
Pocillopora damicornis, urn:lsid:marinespecies.org:taxname:206953,
Pocillopora verrucosa, urn:lsid:marinespecies.org:taxname:206954,
SEACARB for the analysis of seawater chemistry: Lavigne, H. and Gattuso, J. P. 2013. Seacarb, seawater carbonate
chemistry with, R. R package version 2.4.10. Available at: https://CRAN.R-project.org/package/seacarb (last accessed 11 July 2014).
* Sheet 2 of submitted file "Gnet.xlsx" was imported into the BCO-DMO data system for this dataset. Values "nd" imported as missing data values. Sheet 1 contained metadata added to Parameters section.
** Missing data values are displayed differently based on the file format you download. They are blank in csv files, "NaN" in MatLab files, etc.
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* dataset Lon bounds corrected from deg 149... to -149...
* Year and month reformatted for consistency within the dataset, converted to Year_Month format matching related coral area dataset.
* quote characters removed from some species and functional group values so entire columns use consistent formats.
* Sheet 2 of "Physical _and_Chemical_conditions.xlsx" exported as a supplemental file. Column names adjusted to BCO-DMO conventions. Column values with micron (greek mu character) changed to -> u replaced in the flume identifier column and – replaced with standard hyphen character -.
* Site list added for LTER sites from the existing table included for datasets "Edmunds et al. 2024 Oecologia..."
File |
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924603_v1_pco2flume-coral-weight.csv (Comma Separated Values (.csv), 111.60 KB) MD5:2587a25e288fc147c3dd4c38e81f9569 Primary data file for dataset ID 924603, version 1 |
File |
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Flume physical and chemical properties filename: flume_physical_and_chemical_properties.csv (Comma Separated Values (.csv), 91.17 KB) MD5:6d8aa82397eebbb08652080511fa6e2b Physical and chemical properties of flumes during the experiment.Parameter information (Column name, description, and units) with blanks as the missing data identifier:Flume_Target_pCO2,Flume number (1-3) and target treatment pCO2 (400, 700, 1300 µatm)Month,"Month of experiment (format 'mmm',%b)"Year,"Year of experiment (format 'YYYY',%Y)"Temp,seawater temperature over the 24 h period on the day photographs were taken. Unit = °CMMT,mean daily seawater temperature on a 1 month period prior to photographic sampling. Unit = °C,,,"mean, daily pCO2 over the month prior to photographic sampling. Unit = µatm"SMDT,slope by least squares linear regression of daily seawater temperature against time (days) over the month prior to photographic sampling. Unit = °C d-1pCO2,"mean, daily pCO2 over the month prior to photographic sampling. Unit = µatm"AT,mean daily total alkalinity over the month prior to photographic sampling. Unit = µmol kg-1pH,daily mean pH over the month prior to photographic samplingMLI,maximum daily PFD on the day of photographic sampling. Unit = µmol photons m-2 s-1MeLI,mean PFD over the day of photographic sampling. Unit = µmol photons m-2 s-1ILI,PPFD integrated over the day of photographic sampling. Units = mol photons m-2 d-1MeLIM,mean PFD over the month prior to photographic sampling. Unit = µmol photons m-2 s-1SMLI,slope by least squares linear regression of maximum daily PFD over the month prior to photographic sampling. Units = µmol m-2 s-1 d-1SILI,slope by least squares linear regression of PPFD integrated by day over the month prior to photographic sampling. Units = mol photons m-2 d-2 |
Moorea LTER site list filename: site_locations.csv (Comma Separated Values (.csv), 247 bytes) MD5:a591f465e8d2ceb50d389785b7562996 Site location list in Moorea (LTER0,LTER1,LTER2,LTER4) for datasets related to Edmunds et al. (2024, doi:10.1007/s00442-024-05517-y) and Edmunds et al. (2020, doi:10.1093/icesjms/fsaa015). Columns:location, geolocation namesite, site identifierlat_dd, site latitude, decimal degreeslon_dd, site longitude, decimal degreeslat_deg_decmin, site latitude, degrees decimal minuteslon_deg_decmin, site longitude, degrees decimal minutes |
Parameter | Description | Units |
Flume | Flume number (1-3) and target treatment pCO2 (400, 700, 1300 uatm) | unitless |
Year_Month | Year and month of experiment | unitless |
Sample | Sample number | unitless |
Type | Community measured monthly (mobile) or only at beginning and end (Permanent) | unitless |
Functional_group | Genus or group assigned to corals | unitless |
Species | Nominal species ID | unitless |
LTER_Site | LTER site identifier | unitless |
Weight | Dry weight (g) for each coral. See "Response variables" section of the methodology for details. Nd = no data | grams (g) |
Dataset-specific Instrument Name | Nortek Vectrino Acoustic Doppler Velocimeter |
Generic Instrument Name | Acoustic Doppler Velocimeter |
Generic Instrument Description | ADV is the acronym for acoustic doppler velocimeter. The ADV is a remote-sensing, three-dimensional velocity sensor. Its operation is based on the Doppler shift effect. The sensor can be deployed either as a moored instrument or attached to a still structure near the seabed.
Reference:
G. Voulgaris and J. H. Trowbridge, 1998. Evaluation of the Acoustic Doppler Velocimeter (ADV) for Turbulence Measurements. J. Atmos. Oceanic Technol., 15, 272–289. doi: http://dx.doi.org/10.1175/1520-0426(1998)0152.0.CO;2 |
Dataset-specific Instrument Name | A bench-top conductivity meter (Thermo Scientific, Orionstar A212, Waltham, MA, USA) |
Generic Instrument Name | Conductivity Meter |
Generic Instrument Description | 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. |
Dataset-specific Instrument Name | Hobo Pro v2 |
Generic Instrument Name | Onset HOBO Pro v2 temperature logger |
Dataset-specific Description | Throughout the experiment, logging sensors (described above) recorded PAR, and temperature (Hobo Pro v2 [± 0.2 °C], Onset Computer Corp., Bourne, MA, USA). |
Generic Instrument Description | The HOBO Water Temp Pro v2 temperature logger, manufactured by Onset Computer Corporation, has 12-bit resolution and a precision sensor for ±0.2°C accuracy over a wide temperature range. It is designed for extended deployment in fresh or salt water.
Operation range: -40° to 70°C (-40° to 158°F) in air; maximum sustained temperature of 50°C (122°F) in water
Accuracy: 0.2°C over 0° to 50°C (0.36°F over 32° to 122°F)
Resolution: 0.02°C at 25°C (0.04°F at 77°F)
Response time: (90%) 5 minutes in water; 12 minutes in air moving 2 m/sec (typical)
Stability (drift): 0.1°C (0.18°F) per year
Real-time clock: ± 1 minute per month 0° to 50°C (32° to 122°F)
Additional information (http://www.onsetcomp.com/)
Onset Computer Corporation
470 MacArthur Blvd
Bourne, MA 02532 |
Dataset-specific Instrument Name | |
Generic Instrument Name | pH Sensor |
Dataset-specific Description | pHT was measured using a DG 115-SC electrode (Mettler Toledo, Columbus, OH, USA) that was calibrated with a TRIS buffer |
Generic Instrument Description | An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+). |
Dataset-specific Instrument Name | |
Generic Instrument Name | Photosynthetically Available Radiation Sensor |
Dataset-specific Description | Light in the flumes was measured continuously (at 0.0006 Hz) using cosine-corrected sensors (Odyssey, Dataflow Systems Ltd, Christchurch, New Zealand) that recoded PAR. Odyssey sensors were calibrated with a Li-COR meter [LI-1400, Li-COR Biosciences, Lincoln, NE, USA] attached to a 2p sensor [LI 192A]) |
Generic Instrument Description | A PAR sensor measures photosynthetically available (or active) radiation. The sensor measures photon flux density (photons per second per square meter) within the visible wavelength range (typically 400 to 700 nanometers). PAR gives an indication of the total energy available to plants for photosynthesis. This instrument name is used when specific type, make and model are not known. |
Dataset-specific Instrument Name | Wave II 373 J s-1, W. Lim Co., El Monte, CA, USA |
Generic Instrument Name | Pump |
Generic Instrument Description | A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps |
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.
NSF Climate Research Investment (CRI) activities that were initiated in 2010 are now included under Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES). SEES is a portfolio of activities that highlights NSF's unique role in helping society address the challenge(s) of achieving sustainability. Detailed information about the SEES program is available from NSF (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504707).
In recognition of the need for basic research concerning the nature, extent and impact of ocean acidification on oceanic environments in the past, present and future, the goal of the SEES: OA program is to understand (a) the chemistry and physical chemistry of ocean acidification; (b) how ocean acidification interacts with processes at the organismal level; and (c) how the earth system history informs our understanding of the effects of ocean acidification on the present day and future ocean.
Solicitations issued under this program:
NSF 10-530, FY 2010-FY2011
NSF 12-500, FY 2012
NSF 12-600, FY 2013
NSF 13-586, FY 2014
NSF 13-586 was the final solicitation that will be released for this program.
PI Meetings:
1st U.S. Ocean Acidification PI Meeting(March 22-24, 2011, Woods Hole, MA)
2nd U.S. Ocean Acidification PI Meeting(Sept. 18-20, 2013, Washington, DC)
3rd U.S. Ocean Acidification PI Meeting (June 9-11, 2015, Woods Hole, MA – Tentative)
NSF media releases for the Ocean Acidification Program:
Press Release 10-186 NSF Awards Grants to Study Effects of Ocean Acidification
Discovery Blue Mussels "Hang On" Along Rocky Shores: For How Long?
Press Release 13-102 World Oceans Month Brings Mixed News for Oysters
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |