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

Name: Macrophytes' amelioration of seawater acidity: Comparison among four species of marine macrophytes (Ulva lactuca, Zostera marina, Fucus vesiculosus and Saccharina latissima) from the Gulf of Maine from June to July 2015
Published: 2024-08-22
Keywords: marine macrophyte, acidification, co2 system, oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.922818.1

Spatial Extent: N:43.860556 E:-69.57825 S:43.749075 W:-70.193742

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:

2024-08-22

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Macrophytes' amelioration of seawater acidity: Comparison among four species of marine macrophytes (Ulva lactuca, Zostera marina, Fucus vesiculosus and Saccharina latissima) from the Gulf of Maine from June to July 2015

Abstract:

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. 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 (Ricart, A. M. et al. 2023).

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2024-08-22	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.922818.1	2024-08-23

Description

Data from a related experiment (experiment 2, residence time and irradiance) on Saccharina latissima is available through BCO-DMO at https://www.bco-dmo.org/dataset/922819.

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, 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 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_exp1.csv into Laminar (BCO-DMO data file processor)

The first column of the submitted dataset file, data_to_publish_exp1.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.

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

Replaced NA values with blanks in the dry_weight column.

Renamed Ulva to Ulva lactuca to match the pattern of the other species entries in the dataset.

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

Joined a metadata table created by the data manager to the submitted dataset on the parameter name Species to include metadata in the primary dataset file. The metadata table has columns of Species, lat, lon, date_start, date_end.

Reordered the parameters so that 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_1.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
922818_v1_macrophytes_amelioration_comparison.csv (Comma Separated Values (.csv), 23.00 KB) MD5:2bbc5827182a9f4ad6ee7f9e225ee026 Primary data file for dataset ID 922818, version 1

Supplemental Files

File

Species WoRMS taxonomy
filename: species_list_experiment_1.csv

(Comma Separated Values (.csv), 753 bytes)
MD5:560c8e48a39f1da3de8553b7499a9f63

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

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

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

Supplied Name	Supplied description	Supplied Units	Standard Name
Sample	Chamber ID	unitless	sample
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_start	Collection start date Format: %Y-%m	unitless	date_start
date_end	Collection end date Format: %Y-%m	unitless	date_end
Treatment	pCO2 level during incubation	microatmospheres	pCO2
Liters	volume of incubation chamber	liters (L)	volume
Hours	total duration of incubation	unitless	time_inc
Dry_Weight	dry biomass of macrophyte inside the chamber. Empty values = not available	grams (g)	dry_weight_biomass
Salinity	salinity of seawater	unitless	sal
Temperature	temperature of seawater	degrees Celcius (°C)	temp
Initial_Dissolved_Oxygen	Initial dissolved oxygen	micromolar per liter (uM/L)	O2
Initial_pH	initial pH	total scale	pH
Initial_ALK	initial total alkalinity	micromolar per kilogram (uM/kg)	TALK
Initial_pCO2	initial pCO2	microatmospheres	pCO2
delta_DO_norm	The difference in dissolved oxygen before and after the incubations normalized	unitless	O2
delta_DIC_norm	The difference in dissolved inorganic carbon before and after the incubations normalized	unitless	DIC
delta_pH_norm	The difference in pH before and after the incubations normalized	unitless	pH
delta_omega_norm	The difference in omega before and after the incubations normalized. 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.	unitless	no_bcodmo_term