ERDDAP > info > bcodmo_dataset_753017

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	[Dendraster_Grazing_OA_Expt2017] - Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)		I   M	background			BCO-DMO	bcodmo_dataset_753017

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	access_formats	String	.htmlTable,.csv,.json,.mat,.nc,.tsv
attribute	NC_GLOBAL	acquisition_description	String	Spawning and fertilization We collected adult sand dollars (D. excentricus) from Semiahmoo Bay, WA, on July 7, 2017 and maintained them in 14\u00b0C continuous flowing seawater at the Shannon Point Marine Center. On July 12, 2017 we induced twelve individuals to spawn by injecting 1-mL of 0.5-M KCl into the coelom following methods outlined by Strathmann (1987).\u00a0 We then collected and mixed concentrated gametes of four males and four females for fertilization. We added five drops of sperm to 500-mL of filtered seawater and 5-mL of eggs. We placed the fertilized eggs in 12\u00b0C incubator and bubbled them with ambient pCO2 condition for 12-hrs before dividing the embryos into pCO2 treatment conditions before gastrulation. We then counted and transferred the larvae into jars with 1.5 L of nanopore filtered seawater at densities of 1-2 individuals mL-1. Grazing experiment To assess the interactive effects of temperature and pCO2 on Dunaliella excentricus feeding behavior, our experimental design had six treatments with four experimental jars (replicates) in each. The treatments combined three levels of CO2: 400 ppmv (ambient atmospheric level), 800 ppmv (moderate atmoshpheric level) and 1,500 ppmv (high atmospheric level), and two temperatures: 12\u00b0C (ambient temperature) and 17\u00b0C (high temperature). We fed Dunaliella tertiolecta at approximately 6,000 cells ml-1 to six-arm stage larvae to evaluate feeding rates at each treatment condition. For each replicate, a corresponding 150-mL control bottle containing only D. tertiolecta was also prepared. Feeding rate was estimated as ingestion rate by measuring the algal concentration (cells ml-1) at the beginning (T0) and after 24 hours (Tf) in control bottles and experimental jars using a Sedgewick Rafter Chamber (Stumpp et al., 2011). Ingestion rate (cells ind-1 hr-1) was calculated as I = (Clearance rate) x (time-average algae concentration). This dataset includes unprocessed data and simple data calculations accomplished with Excel.
attribute	NC_GLOBAL	awards_0_award_nid	String	684166
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1538626
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538626
attribute	NC_GLOBAL	awards_0_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_0_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_0_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_0_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Dendraster Grazing Rates - OA Expt 2017 S. Arellano, B. Olson, S. Yang (WWU) version: 2019-01-14
attribute	NC_GLOBAL	Conventions	String	COARDS, CF-1.6, ACDD-1.3
attribute	NC_GLOBAL	creator_email	String	info at bco-dmo.org
attribute	NC_GLOBAL	creator_name	String	BCO-DMO
attribute	NC_GLOBAL	creator_type	String	institution
attribute	NC_GLOBAL	creator_url	String	https://www.bco-dmo.org/
attribute	NC_GLOBAL	data_source	String	extract_data_as_tsv version 2.3 19 Dec 2019
attribute	NC_GLOBAL	date_created	String	2019-01-16T21:21:35Z
attribute	NC_GLOBAL	date_modified	String	2019-09-25T20:00:41Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.753017.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/753017
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Used to count cells.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	753035
attribute	NC_GLOBAL	instruments_0_description	String	Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope".
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB05/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Microscope-Optical
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	708
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, cell, cell_concentration, cells, chemical, concentration, count, data, dataset, dmo, erddap, jar, jar_type, management, oceanography, office, preliminary, replicate, squares, temp_c, temperature, type
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/753017/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/753017
attribute	NC_GLOBAL	param_mapping	String	{'753017': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/753017/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Western Washington University
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	WWU
attribute	NC_GLOBAL	people_0_person_name	String	Shawn M Arellano
attribute	NC_GLOBAL	people_0_person_nid	String	684169
attribute	NC_GLOBAL	people_0_role	String	Principal Investigator
attribute	NC_GLOBAL	people_0_role_type	String	originator
attribute	NC_GLOBAL	people_1_affiliation	String	Western Washington University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	WWU
attribute	NC_GLOBAL	people_1_person_name	String	Dr Brady M. Olson
attribute	NC_GLOBAL	people_1_person_nid	String	51528
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	Western Washington University
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	WWU
attribute	NC_GLOBAL	people_2_person_name	String	Dr Sylvia Yang
attribute	NC_GLOBAL	people_2_person_nid	String	684172
attribute	NC_GLOBAL	people_2_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_3_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_3_person_nid	String	50396
attribute	NC_GLOBAL	people_3_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	project	String	Climate stressors on larvae
attribute	NC_GLOBAL	projects_0_acronym	String	Climate stressors on larvae
attribute	NC_GLOBAL	projects_0_description	String	In the face of climate change, future distribution of animals will depend not only on whether they adjust to new conditions in their current habitat, but also on whether a species can spread to suitable locations in a changing habitat landscape. In the ocean, where most species have tiny drifting larval stages, dispersal between habitats is impacted by more than just ocean currents alone; the swimming behavior of larvae, the flow environment the larvae encounter, and the length of time the larvae spend in the water column all interact to impact the distance and direction of larval dispersal. The effects of climate change, especially ocean acidification, are already evident in shellfish species along the Pacific coast, where hatchery managers have noticed shellfish cultures with 'lazy larvae syndrome.' Under conditions of increased acidification, these 'lazy larvae' simply stop swimming; yet, larval swimming behavior is rarely incorporated into studies of ocean acidification. Furthermore, how ocean warming interacts with the effects of acidification on larvae and their swimming behaviors remains unexplored; indeed, warming could reverse 'lazy larvae syndrome.' This project uses a combination of manipulative laboratory experiments, computer modeling, and a real case study to examine whether the impacts of ocean warming and acidification on individual larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea. The project will tightly couple research with undergraduate education at Western Washington University, a primarily undergraduate university, by employing student researchers, incorporating materials into undergraduate courses, and pairing marine science student interns with art student interns to develop art projects aimed at communicating the effects of climate change to public audiences As studies of the effects of climate stress in the marine environment progress, impacts on individual-level performance must be placed in a larger ecological context. While future climate-induced circulation changes certainly will affect larval dispersal, the effects of climate-change stressors on individual larval traits alone may have equally important impacts, significantly altering larval transport and, ultimately, species distribution. This study will experimentally examine the relationship between combined climate stressors (warming and acidification) on planktonic larval duration, morphology, and swimming behavior; create models to generate testable hypotheses about the effects of these factors on larval dispersal that can be applied across systems; and, finally, use a bio-physically coupled larval transport model to examine whether climate-impacted larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea.
attribute	NC_GLOBAL	projects_0_end_date	String	2018-08
attribute	NC_GLOBAL	projects_0_geolocation	String	Coastal Pacific, USA
attribute	NC_GLOBAL	projects_0_name	String	RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal
attribute	NC_GLOBAL	projects_0_project_nid	String	684167
attribute	NC_GLOBAL	projects_0_start_date	String	2015-09
attribute	NC_GLOBAL	publisher_name	String	Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute	NC_GLOBAL	publisher_type	String	institution
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017.
attribute	NC_GLOBAL	title	String	[Dendraster_Grazing_OA_Expt2017] - Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	temp_c		byte
attribute	temp_c	_FillValue	byte	127
attribute	temp_c	actual_range	byte	12, 17
attribute	temp_c	bcodmo_name	String	temperature
attribute	temp_c	description	String	Temperature treatment
attribute	temp_c	long_name	String	Temp C
attribute	temp_c	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	temp_c	units	String	degrees Celcius
variable	pH		String
attribute	pH	bcodmo_name	String	pH
attribute	pH	description	String	pCO2 treatment: low = 400ppm; medium = 800ppm; high = 1500ppm
attribute	pH	long_name	String	pH
attribute	pH	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/
attribute	pH	units	String	unitless
variable	jar_type		String
attribute	jar_type	bcodmo_name	String	treatment
attribute	jar_type	description	String	Type of treatment jar; a jar containing larval and algae or a control jar containing just algae
attribute	jar_type	long_name	String	Jar Type
attribute	jar_type	units	String	unitless
variable	replicate		byte
attribute	replicate	_FillValue	byte	127
attribute	replicate	actual_range	byte	1, 4
attribute	replicate	bcodmo_name	String	replicate
attribute	replicate	description	String	Replicate number of each treatment combination including temperature; pH; and jar type
attribute	replicate	long_name	String	Replicate
attribute	replicate	units	String	unitless
variable	count		String
attribute	count	bcodmo_name	String	count
attribute	count	description	String	The initial or final algae count to calculate algal cell concentration for the experiment
attribute	count	long_name	String	Count
attribute	count	units	String	unitless
variable	cells		short
attribute	cells	_FillValue	short	32767
attribute	cells	actual_range	short	149, 876
attribute	cells	bcodmo_name	String	count
attribute	cells	description	String	Algae cell count using a Sedgewick-Rafter counting chamber
attribute	cells	long_name	String	Cells
attribute	cells	units	String	algae cells
variable	squares		byte
attribute	squares	_FillValue	byte	127
attribute	squares	actual_range	byte	60, 100
attribute	squares	bcodmo_name	String	num_reps
attribute	squares	description	String	Number of squares counted within the Sedgewick-Rafter
attribute	squares	long_name	String	Squares
attribute	squares	units	String	squares
variable	cell_concentration		float
attribute	cell_concentration	_FillValue	float	NaN
attribute	cell_concentration	actual_range	float	2483.33, 10566.67
attribute	cell_concentration	bcodmo_name	String	cell_concentration
attribute	cell_concentration	description	String	Calculated concentration of algae cells within treatment jar from Sedgewick-Rafter counts. Cell concentration = (cells/squares)*1000
attribute	cell_concentration	long_name	String	Cell Concentration
attribute	cell_concentration	units	String	algae cells per milliliter (#/mL)

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.