Dataset: Allometric scaling of calcification for Mytilus californianus

Name: Allometric scaling of calcification data for Mytilus californianus from 2021-2022 (OA decoupling project)
Published: 2024-05-06
Keywords: calcification, ocean acidification, carbonate chemistry, mussel, oceans

Cite This Dataset

Spatial Extent: N:38.371361 E:-123.076306 S:38.371361 W:-123.076306

Laboratory experiments were conducted at the Bodega Marine Laboratory in Bodega Bay, CA, USA and specimens were collected from Carmet Beach

Temporal Extent: 2021-08-10 - 2022-01-03

Project:

Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry (OA decoupling)

Principal Investigator:

Brian Gaylord (University of California-Davis, UC Davis)

Student:

Aaron T. Ninokawa (University of California-Davis, UC Davis-BML)

Alisha Saley (University of California-Davis, UC Davis-BML)

Roya Shalchi (University of California-Davis, UC Davis-BML)

Contact:

Aaron T. Ninokawa (State University of New York College of Environmental Science and Forestry, SUNY ESF)

BCO-DMO Data Manager:

Sawyer Newman (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2024-05-06

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Allometric scaling of calcification data for Mytilus californianus from 2021-2022 (OA decoupling project)

Abstract:

Calcification rates of mussels spanning a range of sizes. These data were used to determine a biomass scaling function for the main incubation dataset (Incubation data for Mytilus californianus calcification).

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Methods & Sampling

Sampling collection details

We gathered naturally settled, adult California mussels (M. californianus between 30 and 80 mm in maximum shell length) by hand from the mid-intertidal zone of Carmet Beach, along the northern California coast. We cleaned mussels of all epibionts and external byssal threads, then transported them in buckets (< 0.5 hr transit time) to Bodega Marine Laboratory, where we acclimated individuals for seven days in flow-through seawater tables prior to subsequent experiments.

Experiment details

To account for calcification scaling allometrically with animal size, we determined the relationship between mussel tissue mass and calcification rate by incubating 26 different mussels spanning 24 mm to 67 mm in shell length and 0.07 g to 2.55 g of dry tissue in ambient, unmanipulated seawater (Supplementary Figure S3, F1,24 = 61.76, R2 = 0.71, p <0.001). This procedure yielded a scaling exponent of 0.72 and we therefore divided calcification rates of the experimental mussels by g0.72.

We calculated net calcification rates with the ammonia-corrected alkalinity anomaly technique (Gazeau et al 2015), divided by incubation duration and mussel dry tissue mass raised by a factor of 0.72 (see the Related Datasets section of this metadata page for this incubation data). The alkalinity anomaly technique builds on the observation that precipitation of CaCO3 results in an equivalent reduction in seawater [CO32-] (or reduction of [HCO3-] followed by an increase in [H+]) which contributes two equivalents of total alkalinity—simultaneous production of ammonia is the major metabolic process in mussels that can obscure this and its signal must be removed (Gazeau et al 2015). Following the incubation, we dissected each mussel and dried it at 60 °C for at least 24 hours to obtain the dry tissue mass (excluding byssal threads) and dry shell mass of each individual mussel.

We conducted additional incubations (n=87, between 3 and 9 per experiment day) without mussels throughout the trials as experimental blanks to determine background changes in alkalinity. We excluded from our analysis any experimental days where background alkalinity changes exceeded 5 µmol kg-1.

The mean of the absolute values of alkalinity change during the incubations of these experimental blanks was 1.3 ± 1.2 µmol kg-1 (n = 72).

Data Processing Description

All computations were performed with R statistical software, version 4.1.0. We performed carbonate system calculations using the package seacarb, using equilibrium constants from Lueker et al. We computed linear mixed models using the lmer function in in the lmertest package in R and focused on assessing likely candidate parameters as fixed factors, and mussel collection date as a random intercept to account for natural seasonal differences between cohorts. Conditional R2 was calculated with the package MuMIn. We determined parameters for non-linear fits employed to model dissolution rates by minimizing the sum of squares of model residuals using the optim function.

Colors for plots were chosen from color palettes in the cmocean package in R.

BCO-DMO Processing

- Removed special characters (e.g., periods) from column names and replaced with underscores
- Added a datetime field ("start_datetime)from the date and start time fields
- Changed the presentation of species values from "mytilus_californianus" to "Mytilus californianus" and added AphiaID and LSID to the data file
- All numeric float fields rounded to 2 degrees of precision

Data Files

File
925689_v1_allometric_scaling_of_calcification_for_mytilus_californianus.csv (Comma Separated Values (.csv), 5.12 KB) MD5:b6e9eb2b112016c2dcff912dc1b0636a Primary data file for dataset ID 925689, version 1

Supplemental Files

File
Figure 3.png (Portable Network Graphics (.png), 76.03 KB) MD5:ed9d51894f77775f6afc338b17f8a486 Figure 3 referenced in data file from pending results publication.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-2129942

Deployments

None available yet

Instruments

None available yet

Parameters

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

Supplied Name	Supplied description	Supplied Units	Standard Name
species	Mussel species used in incubation	unitless	species
AphiaID	Unique identifier for the listed taxon in the Aphia database	unitless	taxon_code
LSID	Life Science Identifier (LSID) for the listed taxon	unitless	taxon_code
date_local	Incubation date in Pacific Standard Time Format: %Y-%m-%d	unitless	date
start_time_local in Pacific Standard Time	Start time of the incubation in Pacific Standard Time Format: %H:%M	unitless	time_begin
ISO_Start_DateTime_UTC	Start datetime of the incubation in UTC Format: %Y-%m-%dT%H:%MZ	unitless	time_begin
duration	Duration of incubation in hours	hours (h)	time_inc
salinity	Incubation salinity	PSU	sal
temperature	Incubation Temperature, oC	degrees Celcius (c)	temp_inc
calcification	Calcification rate of mussel, can be calculated within this dataset as ( (-0.5 * (delta.ta - delta.nh3) * incubation.water.mass) - calc.diss) /duration/ tissue.mass^0.71592	umol hr^-1 g^-0.71592	calcification
tissue_mass	Dried mussel tissue mass	grams (g)	mass_dry
shell_mass	Dried mussel shell mass	grams (g)	mass_dry
wet_mass	Wet mass of mussel prior to incubation	grams (g)	mass_dry
TA	Mean alkalinity during incubation	umol kg-1	TALK
ph	Mean pH during incubation, total scale	unitless	pH
do	Mean dissolved oxygen concentration during the incubation	umol kg-1	O2
ci	Mussel condition index, dry tissue mass divided by total dry mass	umol kg-1	mass
incubation_water_mass	Mass of seawater in incubation vessel	kilograms (kg)	mass
byssal_threads	Byssal thread production rate during incubation	threads hr-1	production
delta_ta	Measured change in alkalinity during incubation	umol kg-1	TALK
delta_nh3	Measured change in ammonia concentration during incubation	umol kg-1	NH3_f

Database

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Dataset: Allometric scaling of calcification for Mytilus californianus