Dataset: Macrophytes' amelioration of seawater acidity: Residence time and irradiance

Name: Macrophytes' amelioration of seawater acidity: Residence time and irradiance in the Gulf of Maine on 2018-11-01
Published: 2024-03-19
Keywords: marine macrophyte, acidification, co2 system, oceans

View Data: Data not available yet

Cite This Dataset

Spatial Extent: N:43.861 E:-69.57 S:43.861 W:-69.57

Gulf of Maine, US

Temporal Extent: 2018-11-01

Project:

REU Site: Bigelow Laboratory for Ocean Sciences - Undergraduate Research Experience in the Gulf of Maine and the World Ocean (Bigelow REU GOM)

Principal Investigator:

Nichole N. Price (Bigelow Laboratory for Ocean Sciences)

Scientist:

Brittney Honisch (Bigelow Laboratory for Ocean Sciences)

Aurora M Ricart (Bigelow Laboratory for Ocean Sciences)

BCO-DMO Data Manager:

Lynne M. Merchant (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2024-03-19

Restricted:

Validated:

Current State:

Preliminary and in progress

Macrophytes' amelioration of seawater acidity: Residence time and irradiance in the Gulf of Maine on 2018-11-01

Abstract:

This dataset includes data from experiment 2, residence time and irradiance, described in the manuscript: Optimizing marine macrophyte capacity to locally ameliorate ocean acidification under variable light and flow regimes: Insights from an experimental approach (2023). An experiment examining the effects of water residence time upon S. latissima capacity to ameliorate seawater acidity under ambient and simulated future scenarios of climate change in a gradient of irradiance was conducted indoors using tanks with a flow-through seawater system based at the Bigelow facilities in November 2018. We used the most responsive species from experiment 1 (i.e., Saccharina latissima) to assess the effects of high and low water residence time on the amelioration of seawater acidity in ambient and simulated future scenarios of climate change across a gradient of irradiance. Data from experiment 1, comparison among species, is available through BCO-DMO at https://www.bco-dmo.org/dataset/922818.

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Methods & Sampling

Methodology summary: We developed two experiments in aquaria to measure changes in dissolved oxygen, pH, and total alkalinity, and derived resultant changes to dissolved inorganic carbon (DIC) and calcium carbonate saturation state (Ω).

Values of temperature, salinity and oxygen were measured using a multiparameter meter (HQ40D, Hach Lange). Discrete water samples were acquired from each tank for analysis of pH and total alkalinity (AT) that were run the same day of the experiment. Seawater pH of the discrete water samples was determined on the total scale as per Dickson et al. 2007 with a high-precision spectrophotometer (Agilent Cary 8454 with PCB 1500 Water Peliter System) using unpurified m-cresol purple dye (Alfa Aesar A180025-06). Water samples were kept in a temperature-controlled water bath at 20°C before analysis, and during analysis using a thermostatic cell holder, to minimize temperature-induced errors in absorbance measurements. The spectrophotometer was validated by analyzing TRIS buffer revealing that the system was accurate to within 0.005 pH units. Seawater AT was measured using a CONTROS HydroFIA TA® instrument (4H-Jena GmbH, Jena Germany), which performed a single-point titration of seawater with 0.1N HCl, using bromocresol green as the indicator for spectrophotometric pH detection. HCl titrant was calibrated with Certified Reference Material (Batch 172) from A. Dickson’s laboratory. Instrumental precision was within 5 µmol kg -1.

See detailed methodology in Ricart AM, Honisch B, Fachon E, Hunt CW, Salisbury J, Arnold SN, Price NN. Optimizing marine macrophyte capacity to locally ameliorate ocean acidification under variable light and flow regimes: Insights from an experimental approach. PLoS One. 2023 Oct 11;18(10):e0288548. doi: 10.1371/journal.pone.0288548. PMID: 37819926; PMCID: PMC10566731.

Data Processing Description

DIC and Ω, as aragonite saturation state, were calculated from pH and AT.

Carbonate system calculations were performed using the seacarb R package and assuming published values for constants K1 and K2, KF, and KS. Uncertainties of the derived parameters (DIC, pCO2, and Ω) were quantified using a Monte Carlo analysis (100 simulations). For each simulation, normally distributed errors were introduced into pH (± 0.01) and AT (± 5 μmol kg−1). The overall uncertainties of the derived parameters were calculated as one standard deviation of the simulations. On average, uncertainties for DIC were 0.28 %, for pCO2 were 2.5 % and for Ω 0.01 %. For pCO2, uncertainty is higher at lower pCO2, whereas uncertainty is lower for Ω at lower Ω. The uncertainty for DIC was similar to the uncertainty in AT, that is ± 5 μmol kg−1.

BCO-DMO Processing

The first column of the dataset does not have a parameter name, so this was named ID.

Replace periods with underscores in the parameter names.

Remove units from the parameter names because they will be noted in the parameters section of the dataset page.

Join a metadata table created by the data manager to the submitted dataset on the parameter Species.

The metadata table has columns Species, Species_full_name, LSID, lat, lon. In the final dataset file, Species_full_name and LSID will be removed and these values will be put in a table in the Methods & Sampling section of the dataset page.

Add a Species parameter value with ‘S. latissima’ and ‘Control’ whenever the row value of Kelp_Control is ‘Control’. This is because only one Species was used in this dataset.

With the join, lat and lon parameter values have an empty value whenever the row value of Kelp_Control is ‘Control’.

Pad the month values of the date with 0 in the front 11/1/2018 and then convert the date format to %Y-%m-%d with laminar and save it as a new column called date_converted.

Remove the original Date column and rename the converted date column, date_converted, to Date.

Reorder the parameters so the metadata is at the front of the dataset.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Earth Sciences	EAR-1460861
NSF Division of Ocean Sciences	OCE-1156740

Deployments

None available yet

Instruments

circulating water bath

Supplied Name: PCB 1500 Water Peliter System

Supplied Description:

The PCB 1500/PCB 1500 Plus is a Peltier-controlled external water recirculator ideal for all thermostatted cell holders.

Instrument Type

Generic Name: circulating water bath

Generic Description:

A device designed to regulate the temperature of a vessel by bathing it in water held at the desired temperature. [Definition Source: NCI]

Multi Parameter Portable Meter

Supplied Name: multiparameter meter (HQ40D, Hach Lange)

Supplied Description:

Designed for water quality applications measuring pH, Conductivity, TDS, Salinity, Dissolved Oxygen (DO), ORP and ISE, the Hach HQ40D portable multi meter is a two channels advanced handheld digital meter.

Instrument Type

Generic Name: Multi Parameter Portable Meter

Generic Description:

An analytical instrument that can measure multiple parameters, such as pH, EC, TDS, DO and temperature with one device and is portable or hand-held.

Spectrophotometer

Supplied Name: Agilent Cary 8454

Supplied Description:

The Agilent Cary Diode Array Spectrophotometer 8454 measures a full spectrum, in as little as 0.1 seconds.

Instrument Type

Generic Name: Spectrophotometer

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/

Generic Description:

An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.

Parameters

None available yet

Database

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Dataset: Macrophytes' amelioration of seawater acidity: Residence time and irradiance