| Contributors | Affiliation | Role |
|---|---|---|
| Nelson, Craig E. | University of Hawaiʻi at Mānoa | Principal Investigator |
| Wegley Kelly, Linda | University of California-San Diego Scripps (UCSD-SIO) | Principal Investigator |
| Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Sampling Dates:
2021:
Gump Station, Moorea, French Polynesia
Aug 10 to Aug 19, 2021
Chief Scientist - Linda Wegley Kelly (SIO, lwegley@ucsd.edu)
2022:
Gump Station, Moorea, French Polynesia
Mar 29 to Apr 15, 2022
Chief Scientist - Linda Wegley Kelly
2023:
Gump Station, Moorea, French Polynesia
Aug 17 to Aug 25, 2023
Chief Scientist - Linda Wegley Kelly
Sample Collection. At every site on the fore- or backreef, salinity and temperature were measured using Manta Probes multi-parameter sondes (Eureka Instruments). Approximately 1.2 liters (L) of reef water was collected via peristalsis through 0.2 micrometer (µm) polyethersulfone filter cartridges (Sterivex, Millipore, UK) directly into durable, food-grade, flexible pouches (1.5 liter, blended foil and EVOH (ethylene vinyl alcohol) plastic, AstraPouch) before being transported to the laboratory for further processing. Ten milliliters (mL) of whole seawater was also collected into a syringe using peristalsis and immediately fixed with paraformaldehyde at a final concentration of 0.5% for subsequent flow cytometry analysis of microbial abundances. The Sterivex filtrate was used to rinse bottles to collect samples for inorganic nutrients, which were frozen and stored at -40 degrees Celsius (°C). For dissolved organic carbon (DOC) measurements, Sterivex filtrate was used to triple sample-rinse borosilicate vials with Teflon septa caps before collecting 40 mL (for deployment 2 and 3 in duplicates). Additionally, 500 mL of filtrate was transferred to triple-rinsed polycarbonate bottles for solid-phase dissolved organic matter (DOM) extraction. DOC and DOM samples were acidified to pH 2 using trace metal grade HCl. Acidified DOM samples were solid-phase extracted using the multichannel pump operating at a flow rate of 18 mL per minute onto Bond Elut PPL resin cartridges (200 milligrams (mg) bed mass, Agilent 2105005, USA). After desalinating the resin with LC-MS grade water (Fisher Chemical, Belgium), the cartridges were dried using Ultra High Purity compressed N2 gas and kept frozen at -40°C.
Biogeochemical Measurements. Inorganic nutrients were analyzed using a Seal AA3 Segmented Flow Injection Autoanalyzer at the University of Hawai'i SOEST Laboratory for Analytical Biogeochemistry: Nitrate+nitrite (N+N) and silicate concentrations, ammonium, phosphate. Additionally, total dissolved nitrogen and total dissolved phosphorus were determined through separate injections, with UV and alkaline or acid persulfate in-line oxidation, respectively. DOC samples were analyzed using high-temperature platinum catalytic oxidation on a Shimadzu TOC-V at the University of Hawaii SOEST Laboratory. The analysis of fluorescent dissolved organic matter (fDOM) was conducted using a Horiba Aqualog scanning fluorometer. Samples for microbial cell concentrations were thawed and 200 microliters (µL) of each sample was stained with SYBR Green I stain for a final concentration of 1X. Bacterial cell counts were enumerated using an Attune Acoustic Focusing Cytometer (Applied Biosystems).
Note that while the instruments were the same from year to year, samples were not all run at the same time.
The shared data is unprocessed.
- Imported three original CSV files, Diel2021_BCODMO_Wegley_Kelly_Nelson.17Dec2025.csv, Diel2022_BCODMO_Wegley_Kelly_Nelson.17Dec2025.csv, and Diel2023_BCODMO_Wegley_Kelly_Nelson.17Dec2025.csv into the BCO-DMO data processing system.
- Treated "NA" as a missing data value (missing data are empty/blank in the final CSV file).
- Added a constant integer column Survey_Year with values 2021, 2022, and 2023 to their respective rows.
- Renamed multiple columns to standardize names across files and to comply with BCO-DMO naming conventions.
- Concatenated all three tables into a single combined table, mapping all 40 columns by name.
- Computed a new "ISO_DateTime_Local" datetime column by combining "Time" (format %H:%M) and "Date" (format %m/%d/%Y) columns, output formatted as %Y-%m-%dT%H:%M.
- Computed a new "ISO_DateTime_UTC" datetime column by combining the same "Time" and "Date" columns, interpreting the input as HST timezone and converting output to UTC, formatted as %Y-%m-%dT%H:%MZ.
- Added constant Latitude column ("-17.47722") and Longitude column ("-149.84258") to all rows, representing the general sampling area coordinates.
- Saved the final file as "1003286_v1_moorea_n_shore_diel_2021-2023.csv".
| File |
|---|
1003286_v1_moorea_n_shore_diel_2021-2023.csv (Comma Separated Values (.csv), 186.92 KB) MD5:e71134104fb70686f54e9e042251fb2b Primary data file for dataset ID 1003286, version 1 |
| Parameter | Description | Units |
| Survey_Year | Year of sample collection | unitless |
| MooreaCode | Numeric identifier for each individual sample | unitless |
| SampleID | Unique identifier for each individual sample | unitless |
| Experiment | Name of Experiment | unitless |
| Location | Sampling Location | unitless |
| Campaign | Name of the Campaign in which the Experiment was done | unitless |
| ISO_DateTime_Local | Local date and time converted to ISO 8601 format; Time zone = HST (UTC-10) | unitless |
| ISO_DateTime_UTC | Date and time converted to ISO 8601 format and converted to UTC time zone | unitless |
| Time | Time of collection | unitless |
| Date | Date of collection | unitless |
| MASSIVE_mass_spec_sample_code | Identification number for mass spectrometry data deposited on MassIVE (https://massive.ucsd.edu/) | unitless |
| PPLVol | Volume of seawater collected onto solid phase extraction resin | milliliters |
| Notes | Notes on sampling | unitless |
| Replicate | Codes A and B or open and closed to denote paired samples | unitless |
| Syringe_Autosampler | Name of Autosampler used for Syringe FCM sample | unitless |
| Syringe_Channel | Channel of Autosampler used for Syringe FCM sample | unitless |
| Bag_Autosampler | Name of Autosampler used for Bag chemistry sample | unitless |
| Bag_Channel | Channel of Autosampler used for Bag chemistry sample | unitless |
| Total_N | Total Nitrogen concentration in micromoles per liter (umol/L) | micromoles per liter |
| Total_P | Total Phosphorus concentration in micromoles per liter (umol/L) | micromoles per liter |
| Phosphate | Phosphate concentration in micromoles per liter (umol/L) | micromoles per liter |
| Silicate | Silicate concentration in micromoles per liter (umol/L) | micromoles per liter |
| N_N | Nitrate + Nitrite concentration in micromoles per liter (umol/L) | micromoles per liter |
| Ammonia | Ammonia concentration in the water sample in micromoles per liter (umol/L) | micromoles per liter |
| NPOC | Dissolved Organic Carbon concentration in micromoles per liter (umol/L) | micromoles per liter |
| Stdev_NPOC | Standard deviation of Dissolved Organic Carbon concentration, micromoles per liter (umol/L) | micromoles per liter |
| M_to_C | Humic to Protein-like ratio in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| BIX | Biological Index in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| HIX | Humification Index in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| FI | Fluorescence Index in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| CobleA | Ultra Violet Humic-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| CobleM | Marine Humic-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| CobleC | Visible Humic-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| CobleT | Tyrosine-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| CobleB | Tryptophan-like: Tryptophan-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| Fpeak | Generic Humic-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| Stedmon_D | Fulvic Acid-like: Fulvic Acid-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| Lignin | Lignin-like component in Raman Fluorescence Units of Water | Raman Fluorescence Units of Water |
| HBact | Heterotrophic bacterioplankton concentration in cells per microliter (cells/uL) | cells per microliter |
| PEuk | PicoEukaryotes cell concentration in cells per microliter (cells/uL) | cells per microliter |
| Syn | Synechococcus cell concentration in cells per microliter (cells/uL) | cells per microliter |
| Pro | Prochlorococcus cell concentration in cells per microliter (cells/uL) | cells per microliter |
| Latitude | Latitude of the general sampling area | decimal degrees |
| Longitude | Longitude of the general sampling area | decimal degrees |
| Dataset-specific Instrument Name | Seal AA3 Segmented Flow Injection Autoanalyzer |
| Generic Instrument Name | Bran+Luebbe / SEAL Analytical AutoAnalyzer 3 (AA3) continuous-flow analyzer |
| Dataset-specific Description | Inorganic nutrients were analyzed using a Seal AA3 Segmented Flow Injection Autoanalyzer at the University of Hawai'i SOEST Laboratory for Analytical Biogeochemistry. |
| Generic Instrument Description | The AutoAnalyzer 3 (AA3) is a segmented continuous-flow analyzer (continuous flow analyzer, CFA) used for automated colorimetric analysis of dissolved nutrients and other analytes in environmental, seawater, freshwater, wastewater, soil, and agricultural samples. The AA3 was originally manufactured by Bran+Luebbe and, following acquisition of the product line in 2006, has continued to be manufactured and supported by SEAL Analytical. The AA3 is the third-generation instrument in the Technicon AutoAnalyzer family and is widely used for determination of nitrate, nitrite, ammonium, phosphate, silicate, and other dissolved nutrients. See the description from the manufacturer. |
| Dataset-specific Instrument Name | Attune Acoustic Focusing Cytometer (Applied Biosystems) |
| Generic Instrument Name | Flow Cytometer |
| Dataset-specific Description | Bacterial cell counts were enumerated using an Attune Acoustic Focusing Cytometer (Applied Biosystems). |
| Generic Instrument Description | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells. Description from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm |
| Dataset-specific Instrument Name | Horiba Aqualog scanning fluorometer |
| Generic Instrument Name | Horiba Aqualog spectrofluorometer |
| Dataset-specific Description | The analysis of fluorescent dissolved organic matter (fDOM) was conducted using a Horiba Aqualog scanning fluorometer. |
| Generic Instrument Description | A benchtop optical spectrometer suitable for measuring coloured dissolved organic matter (CDOM). Outputs include absorbance spectra, fluorescence emission spectra, and fluorescence excitation-emission matrices. This instrument simultaneously measures absorbance spectra and fluorescence Excitation-Emission Matrices. It employs the Absorbance-Transmission Excitation Emission Matrix (A-TEEM) technique to acquire an Excitation Emission Matrix. |
| Dataset-specific Instrument Name | Shimadzu TOC-V |
| Generic Instrument Name | Shimadzu TOC-V Analyzer |
| Dataset-specific Description | DOC samples were analyzed using high-temperature platinum catalytic oxidation on a Shimadzu TOC-V at the University of Hawaii SOEST Laboratory. |
| Generic Instrument Description | A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method. |
| Dataset-specific Instrument Name | Manta Probes multi-parameter sondes (Eureka Instruments) |
| Generic Instrument Name | Water Quality Multiprobe |
| Dataset-specific Description | Salinity and temperature were measured using Manta Probes multi-parameter sondes (Eureka Instruments). |
| Generic Instrument Description | An instrument which measures multiple water quality parameters based on the sensor configuration. |
This project develops a core understanding of diel microbial ecology and biogeochemistry in coral reef ecosystems. It contextualizes how crucial nutrient recycling processes vary across gradients of coral cover and nutrient availability, two factors highlighted as the main drivers of reef decline in the Anthropocene, making the results useful to managers seeking to enhance ecosystem-based approaches to reef restoration. The investigators are collecting diel measurements of microbial and biogeochemical processes at coral reefs around Mo’orea at the Long Term Ecological Research site there (MCR-LTER). They are using established spatial gradients of benthic cover, from coral to macroalgal dominance, and nutrient inputs. Overall the research improves our understanding of how these key environmental factors influence diel microbe-DOM interactions and nutrient recycling. The ongoing macroalgal phase shifts observed at Mo’orea are hypothesized to be related to nutrient pollution, and this work directly informs understanding of how these changes are impacting nutrient cycling in the reefs of Mo’orea. The training of several undergraduate students and two graduate students, one in Biology and one in Oceanography is shared between two minority serving institutions of higher education. The project also supports active outreach programs with the Ocean Discovery Institute focused on engaging underrepresented high school students in ocean-oriented careers in San Diego, and with the UH College Sea Grant Program to support coral reef resilience initiatives locally in Hawai‘i.
Coral reefs exhibit some of the highest rates of primary production and decomposition of any ecosystem type yet persist in some of the most oligotrophic waters on the planet, implying tight recycling of macronutrients through organic matter. The last half century of work on the biogeochemistry of reefs have highlighted this bacterial decomposition of organic matter as a likely mechanism for maintaining nutrient retention and reef productivity. This project applies modern metagenomics and untargeted metabolomics to test clearly defined hypotheses of how diel microbe-DOM interactions drive nutrient recycling and retention in reefs. The investigators are first resolving coupled in situ diel dynamics of organic and inorganic C, N and P (using bulk elemental and spectroscopic methods), microbial abundances and population structures (using DNA sequencing and flow cytometry) and the chemical composition of DOM (using untargeted tandem mass spectrometry) in multiple reef habitats across a gradient of benthic cover and nutrient availability. These patterns inform the second in situ diel sampling campaign resolving the dynamic coupling of metabolic pathways (using metagenomics), exoenzymatic activity (using transcriptomics and enzyme assays) and transformations of specific metabolites (tracked via molecular networking) to distill common mechanisms of microbial organic matter decomposition that play a role in nutrient cycling. This project is being conducted within the Moorea Coral Reef Long Term Ecological Research program, leveraging a wealth of time series data on multiple reef habitats as well as contextualizing our in situ sampling with ongoing physical, geochemical and biological monitoring programs. By integrating cutting edge molecular approaches with well-established techniques in field ecology and microbial oceanography, this research program identifies key microbial and molecular players in the nutrient decomposition and remineralization processes long hypothesized to be central to maintaining healthy reefs.
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) |