ERDDAP > info > bcodmo_dataset_739111

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	[Kelp tracking drifter data] - Data from freely drifting kelp plants tagged with drifters in the Santa Barbara Channel between November of 2015 and December of 2017 (Linking nearshore kelp forest dynamics to sandy beach ecosystems)		F   I   M	background			BCO-DMO	bcodmo_dataset_739111

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,.esriCsv,.geoJson,.odvTxt
attribute	NC_GLOBAL	acquisition_description	String	GPS positions were sampled every 10 minutes. Velocities were computed as centered differences in position (first differences at endpoints). The instruments were deployed by finding kelp plants near the edges of the three study forests that had been detached from the bottom and were freely drifting, and then attaching gps buoys to the plants with 1/4\u201d polypropylene line. The line was generally attached to part of the kelp plant nearest the surface. The instruments were then left to record their position every 10 minutes. The buoys were retrieved when they reached the shoreline or when it appeared they were leaving the Santa Barbara Channel and would thus become unrecoverable. More information about Microstar drifters (manufactured by Pacific Gyre Corp.) can be found in Ohlmann et al., 2005.
attribute	NC_GLOBAL	awards_0_award_nid	String	542227
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1458845
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward?AWD_ID=1458845
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	David L. Garrison
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50534
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Kelp drifter data PI: Carter Ohlmann data version 1: 2018-08-03
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	2018-06-21T19:21:19Z
attribute	NC_GLOBAL	date_modified	String	2018-08-03T21:15:12Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.739111.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-119.500015
attribute	NC_GLOBAL	geospatial_lat_max	double	34.472431
attribute	NC_GLOBAL	geospatial_lat_min	double	34.162992
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-119.500015
attribute	NC_GLOBAL	geospatial_lon_min	double	-120.449764
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	7.2
attribute	NC_GLOBAL	geospatial_vertical_min	double	-589.51
attribute	NC_GLOBAL	geospatial_vertical_positive	String	down
attribute	NC_GLOBAL	geospatial_vertical_units	String	m
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/739111
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	unknown
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	More information about Microstar drifters (manufactured by Pacific Gyre Corp.) can be found in Ohlmann et al., 2005.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	743171
attribute	NC_GLOBAL	instruments_0_description	String	No relevant match in BCO-DMO instrument vocabulary.
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/999/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	unknown
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	575
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Microstar drifter
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, iso, latitude, longitude, management, matime, oceanography, office, preliminary, time, time2, u, v
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/739111/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/739111
attribute	NC_GLOBAL	Northernmost_Northing	double	34.472431
attribute	NC_GLOBAL	param_mapping	String	{'739111': {'lat': 'master - latitude', 'z': 'master - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/739111/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of California-Santa Barbara
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	UCSB-ERI
attribute	NC_GLOBAL	people_0_person_name	String	Carter Ohlmann
attribute	NC_GLOBAL	people_0_person_nid	String	542222
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	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_1_person_name	String	Amber York
attribute	NC_GLOBAL	people_1_person_nid	String	643627
attribute	NC_GLOBAL	people_1_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_1_role_type	String	related
attribute	NC_GLOBAL	project	String	Linking Kelp to Beaches
attribute	NC_GLOBAL	projects_0_acronym	String	Linking Kelp to Beaches
attribute	NC_GLOBAL	projects_0_description	String	This project is affiliated with the Santa Barbara Coastal LTER project. Description from NSF award abstract: Primary producers, such as plants and algae, form the basis of most food webs and their productivity and fate fundamentally shape ecosystems. Often, however, food and other resources are delivered to a food web from an outside source, providing a subsidy to the recipient ecosystem. Understanding these types of trophic connections and exchanges between ecosystems is necessary for predicting how food webs may respond to change, whether environmental or anthropogenic. Despite their potential importance, quantitative evaluations of cross-ecosystem material fluxes, variation of these fluxes in time and space, and ecological responses of recipient communities are lacking, particularly for marine ecosystems. By investigating links between a source ecosystem, kelp forests, and a recipient ecosystem, sandy beaches, this project will expand and transform our understanding of cross-ecosystem fluxes in the coastal ocean. Nearshore kelp forests are highly productive marine ecosystems characterized by large seasonal and interannual variations in net primary production (NPP). More than 90% of kelp forest NPP is exported to adjacent ecosystems including the intertidal zone. Lacking attached plants and algae, sandy beach ecosystems near kelp forests depend heavily on imported drift kelp (wrack) to support complex and diverse food webs. Although sandy beaches are a dominant shoreline type along all U.S. coasts, provide habitat and prey for wildlife, including endangered species, and are highly valued by society as recreational and cultural resources that drive vibrant coastal economies, they receive little ecological study compared to other shoreline types. This lack of knowledge hinders the conservation and management of beaches as ecosystems. Perched on the narrow rim between land and sea, beaches are highly vulnerable to climate change, particularly sea level rise, and will be impacted by changes in climate, as will kelp forests. This project integrates biological and physical approaches to achieve an understanding of the fate and transport of exported kelp, and how variability in this resource subsidy shapes the community structure and function of recipient beach ecosystems. Graduate and undergraduate students will be integral members of the research team, receiving scientific training and mentoring in coastal marine ecology and in public outreach and education. The training and participation of local residents and coastal managers in regular shoreline surveys for beached kelp plants will provide an essential research component of the study and enhance public awareness of scientific research, coastal ecology and the role of links between kelp forest and beach ecosystems. The results of this project will provide new insights into the dynamics of connectivity between coastal marine ecosystems that can be applied to their conservation and management. The project seeks to understand trophic connectivity between a donor ecosystem, kelp forests, and a recipient ecosystem, sandy beaches, with two primary goals: 1) an evaluation of how variation in kelp wrack input affects patterns and processes in beach ecosystems and 2) a quantitative understanding of trophic connectivity through physical transport and input of drift kelp biomass from kelp forests to sandy beaches. The project will begin with two years of intensive work at a well-studied kelp forest in the Santa Barbara Channel, Mohawk Reef, and along 10 km of adjacent coastline, where the research team will measure intertidal community structure over time in response to variability in kelp inputs. To assess effects of variation in wrack input on ecosystem function, they will also measure kelp consumption and secondary production rates of intertidal consumers on adjacent beaches. They will directly observe fate and transport of kelp using complimentary approaches: 1) tracking kelp plants tagged at Mohawk Reef using drifters with GPS; and 2) tagging large numbers of kelp plants (2000) with "drift cards" at Mohawk Reef for recovery by the project team and trained volunteer beachcombers. Ending distributions of recovered drift cards and drifter tracks along the shoreline will then be computed. These data will be used to inform and validate a kelp forest-to-beach kelp transport model based on numerical simulations of coastal surface currents from the Regional Oceanic Modeling System (ROMS). Using predicted kelp beaching rates from this model run regionally, the investigators will then sample community structure and wrack biomass at a larger set of beaches spanning 100 km of the southern California shoreline to test the generality of research findings. This combination of fate and transport observations, beach community surveys and process measurements, and modeling will allow the investigators to characterize temporal variability in kelp subsidy inputs and the consequences of this variability for community structure and function of recipient beach ecosystems.
attribute	NC_GLOBAL	projects_0_end_date	String	2019-03
attribute	NC_GLOBAL	projects_0_geolocation	String	Santa Barbara Channel, California, USA 34 N, 119 W
attribute	NC_GLOBAL	projects_0_name	String	Linking nearshore kelp forest dynamics to sandy beach ecosystems
attribute	NC_GLOBAL	projects_0_project_nid	String	542223
attribute	NC_GLOBAL	projects_0_start_date	String	2015-04
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	Southernmost_Northing	double	34.162992
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Kelp plants were tagged monthly with drifters in the Santa Barbara Channel between November of 2015 and December of 2017. This dataset contains GPS positions of freely drifting kelp plants (nominally) every 10 minutes. Tagged kelp plants begin at one of three kelp forests (Mohawk, Hope Ranch, or Isla Vista) off the Santa Barbara coast.
attribute	NC_GLOBAL	time_coverage_end	String	2017-10-13T21:50Z
attribute	NC_GLOBAL	time_coverage_start	String	2015-11-30T17:10Z
attribute	NC_GLOBAL	title	String	[Kelp tracking drifter data] - Data from freely drifting kelp plants tagged with drifters in the Santa Barbara Channel between November of 2015 and December of 2017 (Linking nearshore kelp forest dynamics to sandy beach ecosystems)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-120.449764
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	id		int
attribute	id	_FillValue	int	2147483647
attribute	id	actual_range	int	1, 20000049
attribute	id	bcodmo_name	String	Sensor_Id
attribute	id	description	String	drifter id
attribute	id	long_name	String	Id
attribute	id	units	String	unitless
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	34.162992, 34.472431
attribute	latitude	axis	String	Y
attribute	latitude	bcodmo_name	String	latitude
attribute	latitude	colorBarMaximum	double	90.0
attribute	latitude	colorBarMinimum	double	-90.0
attribute	latitude	description	String	Latitude
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LATX/
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		double
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	_FillValue	double	NaN
attribute	longitude	actual_range	double	-120.449764, -119.500015
attribute	longitude	axis	String	X
attribute	longitude	bcodmo_name	String	longitude
attribute	longitude	colorBarMaximum	double	180.0
attribute	longitude	colorBarMinimum	double	-180.0
attribute	longitude	description	String	Longitude
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LONX/
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	matime		double
attribute	matime	_FillValue	double	NaN
attribute	matime	actual_range	double	736298.7153, 736981.9097
attribute	matime	bcodmo_name	String	DateTime
attribute	matime	description	String	Matlab datenum data type
attribute	matime	long_name	String	Matime
attribute	matime	units	String	unitless
variable	u		float
attribute	u	_FillValue	float	NaN
attribute	u	actual_range	float	-76.05, 286.03
attribute	u	bcodmo_name	String	u
attribute	u	description	String	u velocity
attribute	u	long_name	String	U
attribute	u	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/LCEWZZ01/
attribute	u	units	String	centimeters per second (cm/s)
variable	v		float
attribute	v	_FillValue	float	NaN
attribute	v	actual_range	float	-33.9, 86.93
attribute	v	bcodmo_name	String	v
attribute	v	description	String	v velocity
attribute	v	long_name	String	V
attribute	v	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/LCNSZZ01/
attribute	v	units	String	centimeters per second (cm/s)
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	actual_range	double	-589.51, 7.2
attribute	depth	axis	String	Z
attribute	depth	bcodmo_name	String	depth
attribute	depth	description	String	water depth interpolated from bathymetry data to each drifter position (negative values are beneath the sea surface)
attribute	depth	ioos_category	String	Location
attribute	depth	long_name	String	Z
attribute	depth	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/DEPH/
attribute	depth	positive	String	down
attribute	depth	standard_name	String	depth
attribute	depth	units	String	m
variable	date		String
attribute	date	bcodmo_name	String	date
attribute	date	description	String	date in format yyyy-mm-dd
attribute	date	long_name	String	Date
attribute	date	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/
attribute	date	time_precision	String	1970-01-01
attribute	date	units	String	unitlesss
variable	time2		String
attribute	time2	bcodmo_name	String	time
attribute	time2	description	String	time in format HH:MM
attribute	time2	long_name	String	Time
attribute	time2	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/
attribute	time2	units	String	unitless
variable	time		double
attribute	time	_CoordinateAxisType	String	Time
attribute	time	actual_range	double	1.4489034E9, 1.5079314E9
attribute	time	axis	String	T
attribute	time	bcodmo_name	String	ISO_DateTime_UTC
attribute	time	description	String	timestamp (UTC) in standard ISO 8601:2004(E) format YYYY-mm-ddTHH:MMZ
attribute	time	ioos_category	String	Time
attribute	time	long_name	String	ISO Date Time UTC
attribute	time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/
attribute	time	source_name	String	ISO_DateTime_UTC
attribute	time	standard_name	String	time
attribute	time	time_origin	String	01-JAN-1970 00:00:00
attribute	time	time_precision	String	1970-01-01T00:00Z
attribute	time	units	String	seconds since 1970-01-01T00:00:00Z

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.