| Contributors | Affiliation | Role |
|---|---|---|
| Edmunds, Peter J. | California State University Northridge (CSUN) | Principal Investigator |
| Doo, Steve | California State University Northridge (CSUN) | Co-Principal Investigator |
| Carpenter, Robert | California State University Northridge (CSUN) | Contact |
| York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
The following methodology applies to this dataset in addition to other datasets published in Edmunds et al. (2019).
Methodology:
Overview
Back reef communities were assembled in four flumes, with each randomly assigned to pCO2 treatments targeting ambient (400 μatm), 700 μatm, 1000 μatm, and 1300 μatm pCO2 to approximate atmospheric pCO2 projected for ~ 2140 under representative concentration pathways (RCP) 2.6, 4.5, 6.0 and 8.5, respectively. Treatments were maintained for one year from November 2015, and actual pCO2 treatments differed from target values. 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 that was circulated and refreshed with sand-filtered (pore size ~ 450–550 µm) seawater from Cook’s Bay (-17.491, -149.826, 14-m depth) at ~ 5 L min-1.
Planar growth and community structure were measured because they are used in ecological analyses of coral reefs, and we reasoned they would sharpen the ability to interpret the ecological implications of the physiological impacts of OA on calcification. We anticipated that the community response to OA would include reduced linear extension, impaired planar growth of tissue and skeleton, and increase partial mortality (as in Dove et al. 2013). The mean linear extension expected for the corals in the present study (Porites rus = 15.2 ± 5.7 mm y-1, massive Porites = 10.0 ± 0.6 mm y-1, Montipora = 27.7 + 3.0 mm y-1, and Pocillopora verrucosa = 24.7 ± 2.4 mm y-1 [https://coraltraits.org/, accessed 8 October 2018]) were expected to create annual changes in planar area of 52 cm2 (with mean initial size of 69 cm2), 32 cm2 (with mean initial size of 68 cm2), 106 cm2 (with mean initial size of 70 cm2), and 150 cm2 (with mean initial size of 218 cm2), respectively, in the ambient flume. To evaluate the precision of the photographic method, 10 independent images of mounding and branching corals in the flumes were recorded, and were processed to provide replicate determinations of organism size (i.e., planar area). These images showed that the standard deviations of mean area determinations were 2.3% for massive Porites, and 3.8% for Pocillopora verrucosa). Based on these measures of precision, there would be a 75% chance of detecting annual growth of 0.6 cm2 for massive Porites and 4.8 cm2 for Pocillopora verrucosa, which represent reasonable estimates for the growth of these corals in our flumes. Given effect sizes ranging from 21.1% for Lithophyllum to 10.2% for massive Porites upon exposure to 1067 µatm pCO2 (Comeau et al. 2014), an effect of pCO2 on growth in the present study would be detectable for Montipora, while smaller effects of pCO2 for other taxa might be prone to Type II errors in detection (i.e., they might not be detected when present).
Back reef communities were assembled to correspond to the mean percent cover of the major space holders in this habitat in 2013 (data archived in Edmunds 2015). The Back reef community source was latitude: -17.481, and longitude: -149.836 ± 4 km from this point along the north shore. The communities began with ~ 25% coral cover, with 11% massive Porites spp., 7% Porites rus, 4% Montipora spp., 3% Pocillopora spp., and ~ 7% crustose coralline algae (CCA), consisting of 4% Porolithon onkodes and 3% Lithophyllum kotschyanum. Coral rubble (~ 1-cm diameter) was added to ~ 5% cover, and the remainder of the benthic surface was sand. Analyses of community structure focused on the central, 2.4-m long portion of this community where corals and CCA were secured to a plastic-coated, metal grid (5 × 5 cm mesh) and represented the “fixed” community. Securing organisms to the grid was critical to reduce parallax errors in photography, to allow the organisms to grow and interact as they extended over the year experiment, and to allow ecologically meaningful analysis of community structure using photographs.
The central section of each flume included a 2.4-m long sediment box that extended the width of the flume, and contained 30-cm depth of sediment. The sediment box was flanked by ~ 2.6 m of the fiberglass floor of the flume, along which 0.8 m was occupied by the same benthic community, but with corals and CCA resting on the bottom (i.e., “unfixed”). Members of the fixed community were buoyant weighed at the start and end of the year to measure Net changes in mass (Gnet), but otherwise were left in place. Members of the unfixed community were removed monthly to measure buoyant weight to calculate Gnet (described below). The unfixed portion of the community allowed monthly resolution of Gnet, but the necessity for removal from (and return to) the flume to measure Gnet resulted in relocation error that negated their use in photographic measurement of community structure. In addition to the coral, sand, CCA, and rubble, the flumes were augmented with holothurians (~ 8-cm long, Holothuria spp.), and macroalgae (Turbinaria ornata and Halimeda minima) to approximate the cover of these algae in the back reef in 2013 (~ 4–5%).
Corals, CCA, and rubble were collected from ~ 2-m depth in the back reef, and were attached with epoxy (Z-Spar A788) to plastic bases. Sediments were collected in the same location, and were placed into boxes that were buried in situ, flush with the sediment for 3 d to promote stratification, and then installed in each flume. Back reef communities were constructed in the flumes on 12 November 2015, and were maintained under ambient conditions until 17 November 2015, when pCO2 treatments began in three flumes, with levels increased to target values over 24 h. Throughout the experiment, the flumes were cleaned of algal turf that grew on the walls of the flumes as well as exposed plastic and the metal grid on the floor of the flume. Turfs were not removed from natural surfaces (i.e., coral bases and rubble) with the rationale that they are a normal component of back reef communities.
Physical and chemical parameters:
Seawater was circulated at ~ 0.1 m s-1 using a pump (W. Lim Wave II 373 J s-1), and flow speeds were measured across the working sections using a Nortek Vectrino Acoustic Doppler Velocimeter. This flow speed was relevant for the back reef of Mo'orea. The flumes were exposed to sunlight that was shaded to a photon flux density (PFD) of photosynthetically active radiation (PAR) approximating 2-m depth in the back reef. Light was measured using cosine-corrected sensors (Odyssey, Dataflow Systems Ltd, New Zealand) that were calibrated with a LI-COR meter (LI-1400, Li-COR Biosciences, Lincoln, NE) attached to a 2π sensor (LI 192A). Maximum daily PFD varied by day and season from 364–1,831 μmol quanta m-2 s-1. Temperatures were regulated close to the mean monthly temperature in the back reef that increased from ~ 27.8°C in December 2015, to ~29.3°C in April 2016, and back to ~ 27.4 °C in November 2016.
Seawater carbonate chemistry was uncontrolled in one flume (ambient), and in the three others, seawater pH was controlled through the addition of CO2 gas (using solenoids controlled with an Aquacontroller, Neptune Systems, USA) to approximate pCO2 targets. A diurnal upward adjustment of ~ 0.1 pH was applied to the treatments to simulate natural variation in seawater pCO2 in the back reef. The ambient flume also maintained a diurnal variation in pCO2 with a nighttime pH ~ 0.1 lower than daytime. Ambient air was bubbled into all flumes.
PAR and temperature (Hobo Pro v2 [± 0.2°C], Onset Computer Corp., MA, USA) were recorded, and pH was measured daily (at various times of day) on the total hydrogen ion scale (pHT). Temperature and pH were used to adjust the thermostat and pH-set points close to values that were calculated (using seacarb) to correspond to target treatments of 400 µatm, 700 µatm, 1000 µatm, and 1300 µatm (~ 8.04, ~7.81, ~7.70 and ~7.65, respectively). Seawater carbonate chemistry (pH and AT) and salinity were measured at 14:00 hrs and 20:00 hrs weekly. A 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. Calculations were made using the carbonic acid dissociation constants, the KSO4 concentration for the bisulfate ion, and the Kf constant.
pHT was measured using a DG 115-SC electrode (Mettler Toledo, Columbus, OH, USA) that was calibrated with a TRIS buffers. AT was measured using open-cell, acidimetric titration (SOP 3b [Dickson et al. 2007]) using certified titrant with a titrator (T50 with a DG 115-SC electrode, Mettler Toledo). The accuracy and precision of measurements were determined using reference materials (from A. Dickson, 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:
Net changes in mass (Gnet) of corals and CCA was measured using buoyant weight (± 1 mg) by month (unfixed) or year (fixed community). Buoyant weight was converted to dry weight of CaCO3 using empirical seawater density (~1.02278 g cm-3) and the density of pure aragonite (2.93 g cm-3, corals) and pure calcite (2.71 g cm-3, CCA). Gnet in each month was expressed as the percentage change in mass relative to the initial mass in November 2015. As the area of tissue changed throughout the experiment through growth and partial mortality, “growth” could not be expressed on an area-normalized scale.
Community structure was quantified using planar photographs recorded in ambient light using a GoPro Hero 4 camera (12 MP, 3-mm focal length). The camera was moved along the flume to record the community in the working section using ~ 16 frames sampling-1.
Photographs were analyzed using ImageJ software, in which the planar area of living tissue on corals and CCA was quantified by outlining organisms and scaling the image using the metal grid as a reference. Size (cm2) was expressed as a percentage of the area (240 × 30 = 7200 cm2) occupied by the fixed members of the community. The summed area of community members was used to determine overall cover of the benthic community, and changes in area were used to quantify growth. Where organisms died, their area was set to zero.
Data parameter "Actual" are data as obtained with missing values. NMDS = data processed for NMDS analyses with missing values replaced as described in Edmunds et al. (2019).
See Edmunds et al. (2019) for analyses that used these data.
BCO-DMO Data Manager Processing Notes:
* Original data submitted as in Excel sheet "Fig. 2 and 3" extracted to csv. See Data Files for the originally submitted Excel file.
* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions (spaces, +, and - changed to underscores). Units in parentheses removed and added to Parameter Description metadata section.
* Month column modiifed to format mmm (e.g. Aug) since it contained various month formats.
| File |
|---|
Data published in Edmunds et al. (2019) Excel File filename: Edmunds_MarBio_2019b_Data.xlsx (Microsoft Excel, 211.81 KB) MD5:1cda751d9bb6a672487ff82e3833055d Excel file containing data published as figures in Edmunds et al. 2019 (doi: 10.1007/s00227-019-3540-2).
FIG. 1 MOBILE
These data describe the mobile fauna in the flumes that were not fixed to the bottom of the flume
A = Flume number (1 = 1400 µatm. 2 = 700 µatm, 3 = 400 µatm, 4 = 1000 µatm)
B = unique organism ID number
C = species name
D = month of incubation 0 = November 2015 (start)
E = Mass of corals and algar as dry weight calculated from bouyant weight
FIG. 1 PERMANENT
The data describe the fauna that was secured to a metal grid in the bottom of the flume
A = Flume number (1 = 1400 µatm. 2 = 700 µatm, 3 = 400 µatm, 4 = 1000 µatm)
B = unique organism ID number
C = species name
D = initial mass of corals as dry weight calculated from buoyant weight in month 0
E = Final mass of corals and algae as dry weight calculated from buoyant weight in month 12
FIGS 2 AND 3
These data support Figs 2 and 3 in the paper and describe the % cover of each organism described from planar photographs
A = Flume number (1 = 1400 µatm. 2 = 700 µatm, 3 = 400 µatm, 4 = 1000 µatm)
B = Analysis type. Actual = data as obtained with missing values (=ND). NMDS = data processed for NMDS analyses with missing values replaced as described in the methodology.
C = month of incubation 0 = November 2015 (start)
D = Year of analysis (2015 or 2016)
E = Month of analysis
F = Unique ID number for each organism
G = taxon
H = % area of flume floor represented by each organism
|
marbio-fig2and3.csv (Comma Separated Values (.csv), 97.43 KB) MD5:84e9797776a6ec1d5fc62dbf3aa7e350 Primary data file for dataset ID 793682 |
| Parameter | Description | Units |
| Flume | Flume number (1 = 1400 µatm. 2 = 700 µatm, 3 = 400 µatm, 4 = 1000 µatm) | unitless |
| Analysis | Analysis type. Actual = data as obtained with missing values. NMDS = data processed for NMDS analyses with missing values replaced as described in Edmunds et al. (2019). | unitless |
| Month_Number | Month of incubation 0 = November 2015 (start) | unitless |
| Year | Year of incubation in format yyyy (e.g. 2016) | unitless |
| Month | Month of incubation in format mmm (e.g. Aug) | unitless |
| ID | Unique ID number for each organism | unitless |
| Taxon | Organism identification (Scientific name or Genus) | unitless |
| AREA | Percent area of the flume floor represented by each organism | percent (%) |
| Dataset-specific Instrument Name | |
| Generic Instrument Name | Camera |
| Generic Instrument Description | All types of photographic equipment including stills, video, film and digital systems. |
Extracted from the NSF award abstract:
This project focuses on the most serious threat to marine ecosystems, Ocean Acidification (OA), and addresses the problem in the most diverse and beautiful ecosystem on the planet, coral reefs. The research utilizes Moorea, French Polynesia as a model system, and builds from the NSF investment in the Moorea Coral Reef Long Term Ecological Research Site (LTER) to exploit physical and biological monitoring of coral reefs as a context for a program of studies focused on the ways in which OA will affect corals, calcified algae, and coral reef ecosystems. The project builds on a four-year NSF award with research in five new directions: (1) experiments of year-long duration, (2) studies of coral reefs to 20-m depth, (3) experiments in which carbon dioxide will be administered to plots of coral reef underwater, (4) measurements of the capacity of coral reef organisms to change through evolutionary and induced responses to improve their resistance to OA, and (5) application of emerging theories to couple studies of individual organisms to studies of whole coral reefs. Broader impacts will accrue through a better understanding of the ways in which OA will affect coral reefs that are the poster child for demonstrating climate change effects in the marine environment, and which provide income, food, and coastal protection to millions of people living in coastal areas, including in the United States.
This project focuses on the effects of Ocean Acidification on tropical coral reefs and builds on a program of research results from an existing 4-year award, and closely interfaces with the technical, hardware, and information infrastructure provided through the Moorea Coral Reef (MCR) LTER. The MCR-LTER, provides an unparalleled opportunity to partner with a study of OA effects on a coral reef with a location that arguably is better instrumented and studied in more ecological detail than any other coral reef in the world. Therefore, the results can be both contextualized by a high degree of ecological and physical relevance, and readily integrated into emerging theory seeking to predict the structure and function of coral reefs in warmer and more acidic future oceans. The existing award has involved a program of study in Moorea that has focused mostly on short-term organismic and ecological responses of corals and calcified algae, experiments conducted in mesocosms and flumes, and measurements of reef-scale calcification. This new award involves three new technical advances: for the first time, experiments will be conducted of year-long duration in replicate outdoor flumes; CO2 treatments will be administered to fully intact reef ecosystems in situ using replicated underwater flumes; and replicated common garden cultivation techniques will be used to explore within-species genetic variation in the response to OA conditions. Together, these tools will be used to support research on corals and calcified algae in three thematic areas: (1) tests for long-term (1 year) effects of OA on growth, performance, and fitness, (2) tests for depth-dependent effects of OA on reef communities at 20-m depth where light regimes are attenuated compared to shallow water, and (3) tests for beneficial responses to OA through intrinsic, within-species genetic variability and phenotypic plasticity. Some of the key experiments in these thematic areas will be designed to exploit integral projection models (IPMs) to couple organism with community responses, and to support the use of the metabolic theory of ecology (MTE) to address scale-dependence of OA effects on coral reef organisms and the function of the communities they build.
The following publications and data resulted from this project:
Comeau S, Carpenter RC, Lantz CA, Edmunds PJ. (2016) Parameterization of the response of calcification to temperature and pCO2 in the coral Acropora pulchra and the alga Lithophyllum kotschyanum. Coral Reefs 2016. DOI 10.1007/s00338-016-1425-0.
calcification rates (2014)
calcification rates (2010)
Comeau, S., Carpenter, R.C., Edmunds, P.J. (2016) Effects of pCO2 on photosynthesis and respiration of tropical scleractinian corals and calcified algae. ICES Journal of Marine Science doi:10.1093/icesjms/fsv267.
respiration and photosynthesis I
respiration and photosynthesis II
Evensen, N.R. & Edmunds P. J. (2016) Interactive effects of ocean acidification and neighboring corals on the growth of Pocillopora verrucosa. Marine Biology, 163:148. doi: 10.1007/s00227-016-2921-z
coral growth
seawater chemistry
coral colony interactions
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 |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |