bcodmo_dataset_990963_v1

Name: [Belt Transect: Density] - Sea star abundance from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta-ecosystem scale)
Creator: BCO-DMO
License: The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.

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	[Belt Transect: Density] - Sea star abundance from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta- ecosystem scale)		F I M	background			BCO-DMO	bcodmo_dataset_990963_v1

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	cdm_data_type	String	Other
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_url	String	https://www.bco-dmo.org/
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.990963.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-117.7994
attribute	NC_GLOBAL	geospatial_lat_max	double	45.02575
attribute	NC_GLOBAL	geospatial_lat_min	double	33.54477
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-117.7994
attribute	NC_GLOBAL	geospatial_lon_min	double	-124.5651
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://osprey.bco-dmo.org/dataset/990963
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	license	String	The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.
attribute	NC_GLOBAL	Northernmost_Northing	double	45.02575
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	Southernmost_Northing	double	33.54477
attribute	NC_GLOBAL	summary	String	This dataset includes sea star abundance data collected as part of the study described below. See the "Related Datasets" section for size structure data. Mass mortality from disease epidemics can challenge the resistance and resilience of populations and communities. Assessing the impacts of such events and their consequences is crucially dependent on long-term datasets In 2013-16, sea star wasting disease (SSWD) caused population-wide crashes of the archetypal keystone species, the sea star Pisaster ochraceus, along the North American west coast. We used two long-term datasets to assess the resilience of Pisaster populations to this perturbation in Oregon: a 16-year time series (2007-2023) of annual predation rate at 7 sites, and a 23-year time series (2001-2024) of density and size of Pisaster at 8 sites. In spring 2015, a novel and massive Pisaster recruitment event occurred at all sites, averaging 3.00 ± 0.57 recruits m-2 (± SE), an 8,100% increase compared to pre-SSWD. Elevated but spatiotemporally variable recruitment has persisted over the subsequent decade. Before SSWD, population size structure was relatively stable, consisting mostly of large adults with virtually no recruitment. After the outbreak, density, average size, and biomass density declined at nearly all sites, while SSWD persisted at low levels, averaging ~4% symptomatic per year. As of the current period (2021-2024), density and biomass density had recovered at all sites and often overshot prior levels, but average body size recovered at only 3 of 7 sites. However, the 2014 crash and the post-2014 recruitment events apparently destabilized the populations; density remains more variable among years at all but two sites.
attribute	NC_GLOBAL	title	String	[Belt Transect: Density] - Sea star abundance from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta-ecosystem scale)
attribute	NC_GLOBAL	Westernmost_Easting	double	-124.5651
variable	TransectSurveyID		String
attribute	TransectSurveyID	long_name	String	Transectsurveyid
attribute	TransectSurveyID	units	String	unitless
variable	SurveyID		String
attribute	SurveyID	long_name	String	Surveyid
attribute	SurveyID	units	String	unitless
variable	TransectID		String
attribute	TransectID	long_name	String	Transectid
attribute	TransectID	units	String	unitless
variable	GroupCode		String
attribute	GroupCode	long_name	String	Groupcode
attribute	GroupCode	units	String	unitless
variable	Region		String
attribute	Region	long_name	String	Region
attribute	Region	units	String	unitless
variable	Cape		String
attribute	Cape	long_name	String	Cape
attribute	Cape	units	String	unitless
variable	CapeNum		int
attribute	CapeNum	actual_range	int	1, 15
attribute	CapeNum	long_name	String	Capenum
attribute	CapeNum	units	String	unitless
variable	SiteCode_STARS		String
attribute	SiteCode_STARS	long_name	String	Sitecode_stars
attribute	SiteCode_STARS	units	String	unitless
variable	Site		String
attribute	Site	long_name	String	Site
attribute	Site	units	String	unitless
variable	SiteNum		int
attribute	SiteNum	actual_range	int	1, 33
attribute	SiteNum	long_name	String	Sitenum
attribute	SiteNum	units	String	unitless
variable	latitude		float
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	actual_range	float	33.54477, 45.02575
attribute	latitude	axis	String	Y
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		float
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	actual_range	float	-124.5651, -117.7994
attribute	longitude	axis	String	X
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	SiteType		String
attribute	SiteType	long_name	String	Sitetype
attribute	SiteType	units	String	unitless
variable	Year		int
attribute	Year	actual_range	int	2000, 2024
attribute	Year	long_name	String	Year
attribute	Year	units	String	unitless
variable	AvgSurveyDate		String
attribute	AvgSurveyDate	long_name	String	Avgsurveydate
attribute	AvgSurveyDate	units	String	unitless
variable	SurveyPeriod		String
attribute	SurveyPeriod	long_name	String	Surveyperiod
attribute	SurveyPeriod	units	String	unitless
variable	Season		String
attribute	Season	long_name	String	Season
attribute	Season	units	String	unitless
variable	SeasonCode		String
attribute	SeasonCode	long_name	String	Seasoncode
attribute	SeasonCode	units	String	unitless
variable	YearOfSSWS		int
attribute	YearOfSSWS	actual_range	int	2013, 2014
attribute	YearOfSSWS	long_name	String	Yearofssws
attribute	YearOfSSWS	units	String	unitless
variable	DateofSSWS		String
attribute	DateofSSWS	long_name	String	Dateofssws
attribute	DateofSSWS	units	String	unitless
variable	YrSinceSSWS		int
attribute	YrSinceSSWS	actual_range	int	-14, 11
attribute	YrSinceSSWS	long_name	String	Yrsincessws
attribute	YrSinceSSWS	units	String	unitless
variable	DiseasePhase3		String
attribute	DiseasePhase3	long_name	String	Diseasephase3
attribute	DiseasePhase3	units	String	unitless
variable	DiseasePhase4		String
attribute	DiseasePhase4	long_name	String	Diseasephase4
attribute	DiseasePhase4	units	String	unitless
variable	Transect		String
attribute	Transect	long_name	String	Transect
attribute	Transect	units	String	unitless
variable	TransectArea_m2		float
attribute	TransectArea_m2	actual_range	float	1.25, 1875.0
attribute	TransectArea_m2	long_name	String	Transectarea_m2
attribute	TransectArea_m2	units	String	meters squared (m2)
variable	SpeciesCode		String
attribute	SpeciesCode	long_name	String	Speciescode
attribute	SpeciesCode	units	String	unitless
variable	Tot_Indivs		int
attribute	Tot_Indivs	actual_range	int	0, 1451
attribute	Tot_Indivs	long_name	String	Tot_indivs
attribute	Tot_Indivs	units	String	count
variable	Tot_Biomass_g		float
attribute	Tot_Biomass_g	actual_range	float	0.005338037, 69639.2
attribute	Tot_Biomass_g	long_name	String	Tot_biomass_g
attribute	Tot_Biomass_g	units	String	grams (g)
variable	Density_m2		float
attribute	Density_m2	actual_range	float	0.0, 145.1
attribute	Density_m2	long_name	String	Density_m2
attribute	Density_m2	units	String	individuals per meter squared (#/m2)
variable	Biomass_g_m2		float
attribute	Biomass_g_m2	actual_range	float	5.338037E-4, 6963.92
attribute	Biomass_g_m2	long_name	String	Biomass_g_m2
attribute	Biomass_g_m2	units	String	grams per meter squared (g/m2)

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.