Dataset: Macrophytes' amelioration of seawater acidity: Comparison among species

Name: Macrophytes' amelioration of seawater acidity: Comparison among species in the Gulf of Maine from June-July 2015
Published: 2024-03-19
Keywords: marine macrophyte, acidification, co2 system, oceans

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Cite This Dataset

Spatial Extent: N:43.861 E:-69.578 S:43.749 W:-70.194

Gulf of Maine, US

Temporal Extent: 2015-06 - 2015-07

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: Comparison among species in the Gulf of Maine from June-July 2015

Abstract:

This dataset includes data from experiment 1, comparison among species, 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 increased CO2 concentrations upon the capacity of the different species of marine macrophytes to ameliorate seawater acidity via several assays in enclosed well-mixed, airtight chambers with no headspace, was conducted indoors at the Bigelow Laboratory for Ocean Sciences (Maine, USA), in June-July 2015. We explored the individual capacities of four species of marine macrophytes (Ulva lactuca, Zostera marina, Fucus vesiculosus and Saccharina latissima) to ameliorate seawater acidity in experimentally elevated pCO2. Data from experiment 2, residence time and irradiance, is available through BCO-DMO at https://www.bco-dmo.org/dataset/922819.

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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, oxygen and pH were recorded in all the chambers using a multiparameter meter (HQ40D, Hach Lange) calibrated before measurements with TRIS buffer, from A. Dickson laboratory, with an accuracy of 0.01 pH units. Discrete water samples were acquired from three representative chambers from each CO₂ level per species for analysis of total alkalinity (AT). Seawater AT was measured using open-cell titration with triplicate samples (Metrohm 855 Robotic Titrosampler, Metrohm, USA) using 0.1 N HCl (Fisher Chemical) diluted to a nominal concentration of 0.0125 M. Acid was calibrated by analyzing Certified Reference Material (CRM Batch 138) from A. Dickson’s laboratory. For each set of triplicate analyses, the median value was considered. 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.

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

Rename Ulva to U. lactuca to match the pattern of the other species entries.

Rename Z.marina to Z. marina to match the format of the other species entries in the dataset.

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.

Reorder the parameters so that 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

Automatic titrator

Supplied Name: Metrohm 855 Robotic Titrosampler, Metrohm, USA

Supplied Description:

Basic model for setting up customer-specific automation in the titration.

Instrument Type

Generic Name: Automatic titrator

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB12/

Generic Description:

Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.

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.

Parameters

None available yet

Database

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Dataset: Macrophytes' amelioration of seawater acidity: Comparison among species