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

Name: Macrophytes' amelioration of seawater acidity: Water residence time and irradiance of Saccharina latissima from the Gulf of Maine in November 2018
Published: 2024-08-22
Keywords: marine macrophyte, acidification, co2 system, oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.922819.1

Spatial Extent: N:43.860556 E:-69.57825 S:43.860556 W:-69.57825

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:

2024-08-22

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Macrophytes' amelioration of seawater acidity: Water residence time and irradiance of Saccharina latissima from the Gulf of Maine in November 2018

Abstract:

An experiment examining the effects of water residence time upon Saccharina 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. In a previous experiment (experiment 1), 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. Then in this experiment 2, we used the most responsive species (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. 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 (Ricart, A. M. et al. 2023).

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2024-08-21	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.922819.1	2024-08-23

Description

Data from a related experiment (experiment 1, comparison among species) is available through BCO-DMO at https://www.bco-dmo.org/dataset/922818.

Methods & Sampling

Methodology summary: The experiment in aquaria measured 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 described in the manuscript: Optimizing marine macrophyte capacity to locally ameliorate ocean acidification under variable light and flow regimes: Insights from an experimental approach (Ricart, A. M. et al. 2023).

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

Loaded the submitted file data_to_publish_exp2.csv into Laminar (BCO-DMO data file processor)

The first column of the submitted dataset file, data_to_publish_exp2.csv, did not have a parameter name, and it stood for the row number of each line of the file. Removed this parameter column from the final dataset since a spreadsheet viewer will show the row numbers.

Replaced periods with underscores in the parameter names to follow BCO-DMO parameter naming guidelines.

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

Replaced NA values with blanks in the Inflow_pH, delta_DIC, delta_pH, and delta_omega_ar columns.

Added a Species parameter value with ‘Saccharina latissima’ and ‘Control’ whenever the row value of Kelp_Control is ‘Control’. This is to join on the parameter Species in a data manager created metadata table with the columns of Species, and lat, lon.

Joined a metadata table created by the data manager to the submitted dataset on the parameter Species to include metadata in the primary dataset file.

Converted the date format to the ISO 8601 format %Y-%m-%d

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

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Checked taxonomy of dataset.

Checked that all the species names in the dataset file matched those found in WoRMS.

Created a Species WoRMS taxonomy file species_list_experiment_2.csv by using the WoRMS website to create a table of the species name with the following columns: ScientificName, AphiaID, LSID, Authority, Kingdom, Phylum, Class, Order, Family, Genus, Species.

Data Files

File
922819_v1_macrophytes_amelioration_irradiance.csv (Comma Separated Values (.csv), 16.54 KB) MD5:67b6bdba01e2c8fd06d44308f00d9435 Primary data file for dataset ID 922819, version 1

Supplemental Files

File

Species WoRMS taxonomy
filename: species_list_experiment_2.csv

(Comma Separated Values (.csv), 301 bytes)
MD5:4cace669aca7b58cbc8188bfac80075a

Species  taxonomy table from the World Register of Marine Species (WoRMS) with columns: ScientificName, AphiaID, LSID, Authority, Kingdom, Phylum, Class, Order, Family, Genus, Species

Parameter, Definition, Units, BCO-DMO term, Type
ScientificName, species, unitless, species, String
AphiaID, Unique identifier for the listed taxon in the Aphia database., unitless, taxon_code, Integer
LSID, Life Science Identifier (LSID) for the listed taxon., unitless, LSID, String
Authority, Name of identifier and year, unitless, no_bcodmo_term, String

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:

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.

Total alkalinity flow through analyzer

Supplied Name: CONTROS HydroFIA® TA

Supplied Description:

A defined amount of seawater is acidified by injection of a fixed amount of hydrochloric acid (HCl).
After acidification the generated CO₂ in the sample is removed by means of a membrane based degassing unit resulting in a so-called open-cell titration. The subsequent pH determination is carried out by means of an indicator dye (Bromocresol green) and VIS absorption spectrometry. Together with salinity and temperature, the resulting pH is directly used for the calculation of total alkalinity.

Instrument Type

Generic Name: Total alkalinity flow through analyzer

Acronym: TA - flow analyzer

Generic Description:

A flow through system for the determination of the total alkalinity in seawater. Its general principle is based on open-cell single-point titration with spectrophotometric pH determination. It can be used for continuous monitoring during surface water applications as well as for discrete sample measurements.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
Species	The scientific name of the marine macrophyte species used and Control = no kelp present	unitless	species
lat	Sampling location latitude, south is negative	decimal degrees	lat
lon	Sampling location longitude, west is negative	decimal degrees	lon
Date	date of experiment Format: %Y-%m-%d	unitless	date
Aquaria	replicate aquaria	unitless	replicate
Future_Ambient	environmental conditions treatments (ambient conditions vs future conditions of temperature and pCO2 in seawater). Values of Ambient or Future.	unitless	treatment
Kelp_Control	presence of kelp within the aquaria. Kelp = kelp present. Control = no kelp present	unitless	treatment
Kelp_biomass_wet	wet biomass of kelp	grams (g)	wet_weight_biomass
Kelp_biomass_dry	dry biomass of kelp	grams (g)	dry_weight_biomass
PAR	photosynthetic active radiation	micromols m-2 s-1 (uM m-2 s-1)	PAR
Flow_level	residence time treatments (High or Low)	unitless	treatment
Salinity	salinity of seawater	unitless	sal
Temperature	temperature of seawater	degrees Celsius (°C)	temp
Inflow_Dissolved_oxygen	Initial dissolved oxygen	micromolar per liter (uM/L)	O2
Inflow_pH	initial pH. Empty values = not available	unitless	pH
Inflow_ALK	initial total alkalinity	micromolar per kilogram (uM/kg)	TALK
delta_DO	difference in dissolved oxygen between aquaria inflow and outflow	unitless	no_bcodmo_term
delta_DIC	difference in dissolved inorganic carbon between aquaria inflow and outflow. Empty values = not available	unitless	no_bcodmo_term
delta_pH	The difference in pH between aquaria inflow and outflow. Empty values = not available	unitless	no_bcodmo_term
delta_omega_ar	The difference in omega between aquaria inflow and outflow. Omega is the saturation state of calcium carbonate (CaCO3), the degree to which seawater is saturated with CaCO3. This essentially is a measure of carbonate ion concentration. Empty values = not available	unitless	no_bcodmo_term