Dataset: Mesocosm warming experiment temperature

Name: Temperature from seagrass wasting disease mesocosm experiments at Bodega Marine Laboratory in June-July 2015
Published: 2022-10-27
Keywords: climate change, host-parasite, microbiome, seagrass, wasting disease, oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.883037.1

Spatial Extent: N:38.31753 E:-123.06572 S:38.31753 W:-123.06572

Temporal Extent: 2015-07-01 - 2015-09-14

Project:

CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems (Seagrass and Oyster Ecosystems)

Principal Investigator:

A. Randall Hughes (Northeastern University)

Scientist:

Katherine DuBois (University of California-Davis, UC Davis)

Melissa Kardish (University of California-Davis, UC Davis)

Forest Schenck (Northeastern University)

John J. Stachowicz (University of California-Davis, UC Davis)

BCO-DMO Data Manager:

Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2022-10-27

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Temperature from seagrass wasting disease mesocosm experiments at Bodega Marine Laboratory in June-July 2015

Abstract:

This dataset includes seawater temperature measurements from mesocosms. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite Labyrinthula zosterae. These data were plotted in Schenck et al (2022) as Figure S1. And Bois et al., 2021 as Figure 1.

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Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2022-10-27	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.883037.1	2022-11-22

Methods & Sampling

We used a substitutive design to test the effects of eelgrass (Zostera marina) genotypic identity (eight genotypes), diversity (monocultures of 1 genotype vs. polycultures of 4 genotypes), and temperature (ambient or + 3.2° C) on the prevalence and intensity of Labyrinthula over eight weeks in an array of flow-through 120-L mesocosms at the Bodega Marine Laboratory in Bodega Bay, CA. We assigned ten pots - two unique polyculture combinations and each of the eight monocultures - to each of ten mesocosms, with five mesocosms per temperature treatment (see DuBois et al. 2020 for a diagram of the experimental set up). All mesocosms received sand-filtered flow-through seawater at a rate of approximately 0.8-1.0 L min^-1. We allowed the plants to acclimate for one month prior to initiating the temperature treatments. We maintained an ambient temperature treatment by cooling flow-through seawater in a head tank by approximately 1˚C using an Aqua Logic Delta Star in-line titanium chiller. Seawater in the elevated temperature treatment was raised approximately 3˚C above the ambient treatment in a separate header tank using Process Technologies titanium immersion heaters. This level of warming mimicked the 2014-15 extreme warming events in the Northern Pacific called “The Blob”, which raised summer ocean temperatures three standard deviations above the long-term average (Sanford et al. 2019).

Life Sciences Identifiers (LSID) for taxonomic names:
Zostera marina (urn:lsid:marinespecies.org:taxname:145795)
Labyrinthula zosterae (urn:lsid:marinespecies.org:taxname:395093)
Labyrinthula (urn:lsid:marinespecies.org:taxname:119090)

Data Processing Description

Code that includes temperature analysis associated with this experiment: All code was written and run in R (version 3.6.1, www.R-project.org). Github repository link: https://github.com/schenckf/BWE_Experiment and Zenodo DOI: https://doi.org/10.5281/zenodo.7129500. A general description of the code is included in the repository release.

BCO-DMO Processing:

* Imported data from source file "mesocosm_warming_temperature_data.csv" into the BCO-DMO data system.
Data file imported using missing data identifier "NA".
* Modified parameter (column) names to conform with BCO-DMO naming conventions.
* ISO_DateTime_UTC column added from date_time (local timezone). converted to ISO 8601 format

Data Files

File
temp.csv (Comma Separated Values (.csv), 6.42 MB) MD5:12492def8f17cb4d7bdd39b49cdd019b Primary data file for dataset ID 883037

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1652320

Deployments

None available yet

Instruments

Aquarium

Supplied Name: flow through tanks

Supplied Description:

Instrument Type

Generic Name: Aquarium

Generic Description:

Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept

Aquarium chiller

Supplied Name: Aqua Logic Delta Star in-line titanium chiller

Supplied Description:

We maintained an ambient temperature treatment by cooling flow-through seawater in a head tank by approximately 1˚C using an Aqua Logic Delta Star in-line titanium chiller.

Instrument Type

Generic Name: Aquarium chiller

Generic Description:

Immersible or in-line liquid cooling device, usually with temperature control.

Immersion heater

Supplied Name: Process Technologies titanium immersion heater

Supplied Description:

Seawater in the elevated temperature treatment was raised approximately 3˚C above the ambient treatment in a separate header tank using Process Technologies titanium immersion heaters

Instrument Type

Generic Name: Immersion heater

Generic Description:

Submersible heating element for water tanks and aquaria.

Onset HOBO Pendant Temperature/Light Data Logger

Supplied Name: Onset Hobo Pendant Temperature Data Loggers

Supplied Description:

Instrument Type

Generic Name: Onset HOBO Pendant Temperature/Light Data Logger

Acronym: Onset HOBO Pendant Temp/Light

Generic Description:

The Onset HOBO (model numbers UA-002-64 or UA-001-64) is an in-situ instrument for wet or underwater applications. It supports light intensity, soil temperature, temperature, and water temperature. A two-channel logger with 10-bit resolution can record up to approximately 28,000 combined temperature and light measurements with 64K bytes memory. It has a polypropylene housing case. Uses an optical USB to transmit data. A solar radiation shield is used for measurement in sunlight. Temperature measurement range: -20 deg C to 70 deg C (temperature). Light measurement range: 0 to 320,000 lux. Temperature accuracy: +/- 0.53 deg C from 0 deg C to 50 deg C. Light accuracy: Designed for measurement of relative light levels. Water depth rating: 30 m.

Parameters

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

Supplied Name	Supplied description	Supplied Units	Standard Name
temperature_treatment	Descriptor of the temperature treatment applied to seawater: ambient (cooled flow-through seawater by approximately 1oC); elevated (heated flow-through seawater by approximately 3oC)	unitless	treatment
bin	Unique identifier number assigned to each of the ten 120 L mesocosms at the Bodega Marine Laboratory supplied with flow-through seawater	unitless	sample_descrip
date_time	Date and time of temperature measurement (Time zone: PST/PDT) Format: %m/%d/%y %H:%M	unitless	DateTime
temperature	Seawater temperature	Degrees Celsius	temp
ISO_DateTime_UTC	Date and time of temperature measurement (Time zone: UTC) in ISO8601 format. Format: %Y-%m-%dT%H:%MZ	unitless	ISO_DateTime_UTC

Database

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Dataset: Mesocosm warming experiment temperature