ERDDAP > info > bcodmo_dataset_739601

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	[Rainfall and surface light intensity] - Measurements of rainfall and surface light intensity (PAR) in St. John, US Virgin Islands from 2014-2017. (Collaborative research: Ecology and functional biology of octocoral communities)		I   M	background			BCO-DMO	bcodmo_dataset_739601

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	Light was measured as the radiant energy between 400 and 700 nm wavelength (i.e., PAR, \u03bcmol quanta m-2 s-1) as Photosynthetic Photon Flux Density (PPFD). In situ light was measured using two logging meters fitted with a cosine-corrected PAR sensor and wiper (Compact LW, JFE Advantech Co., Ltd, Japan), that were deployed at ~ 19.1-m depth (height of the sensor) in Great Lameshur Bay (18\u00b0 18 \u0301 37.04N, 63\u00b0 43 \u0301 23.17W). These instruments recorded downwelling PAR, and were deployed six times from 2014and 2017, from August to March and from March to August. The meters were operated in burst mode, during which they would wake up, clean the sensor with a wiper, and record a burst of multiple records before returning to sleep. The Compact LW meter is designed for oceanographic applications to 200 m depths, is fitted with a photodiode sensor, and has a stated accuracy of \u00b1 4% (over 0\u20132000 \u03bcmol photons m2 s-1) and resolution of 0.1 \u03bcmol photons m2 s-1. Both meters were purchased new for this study, and were deployed individually and sequentially between field samplings with comparisons between consecutive deployments used to screen for calibration drift. One sensor was used for a combined duration of 16 months during, and the other sensor was used for 4 months, returned to the manufacturer for servicing (May 2016), and then used again for 3 months. In between deployments, sensors were inspected for abrasions that would affect calibration, and were carefully cleaned with vinegar. Different configurations of the meter were employed to prolong battery life. In the first and second deployments (starting 21 August 2014 and 19 March 2015, respectively), a burst of 10 measurements was recorded at 0.033 Hz (i.e., every 30 s) every 1.5 h; the instrument failed during the third deployment (starting August 2015); in the fourth and fifth deployments (starting 16 March 2016 and 29 July 2016, respectively) a burst of 10 measurements was recorded at 0.033 Hz every 1.0 h; and in the sixth deployment(starting 23 February 2017) a burst of 30 measurements was recorded at 0.100 Hz (i.e.,every 10 s) every 2.0 h. The timing of bursts was not standardized to local time and, therefore, the number and timing of bursts bracketing noon (which were used to calculate transmission, described below) differed among deployments. The sampling frequency within each burst was sufficient to alleviate the bias resulting from wave-induced light flecking (Zheng et al. 2002). As a result of varying power demands of each sampling configuration, the meter did not always record for the full duration of each deployment.\u00a0 Surface light was recorded with two cosine-corrected PAR sensor (S-LIA-M003, OnsetComputer Corporation) attached to loggers (Micro Station Data Logger H21-002, OnsetComputer Corporation) recording at 0.0033 Hz (i.e., every 5 minutes). The sensors were calibrated by the manufacturers, and were mounted ~ 4-m above sea level adjacent to Great Lameshur Bay (18\u00b0 19 \u0301 6.61N, 64\u00b0 43 \u0301 27.73W), and ~ 0.875 km from the sensor recording in situ light. The paired surface sensors were used to ensure data integrity should one sensor fail, and the paired deployments provided a means to detect erroneous records due to sensor drift or failure. The surface sensors were downloaded, reprogrammed, and cleaned in July of each year, and have been deployed for 11 y(from 2007). Here, surface light data for 2014-2017 are presented to provide temporal concordance with the submerged sensor. Rainfall was measured using a 20.3 cm, Standard Rain Gauge (NOAA, NationalWeather Service) that was deployed on the north shore of St. John (18\u00b0 21 \u0301 20.95N, 64\u00b045 \u0301 57.53W). The gauge was used to manually record daily rainfall that was averaged by month for each sampling year.
attribute	NC_GLOBAL	awards_0_award_nid	String	562085
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1332915
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1332915
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	awards_1_award_nid	String	562593
attribute	NC_GLOBAL	awards_1_award_number	String	DEB-1350146
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward?AWD_ID=1350146
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Environmental Biology
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF DEB
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	550432
attribute	NC_GLOBAL	awards_1_program_manager	String	Betsy Von Holle
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	701685
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Rainfall and Light P. Edmunds, PI Data associated with Fig. 1 of: Edmunds, Coral Reefs (2018) Long-term variation in light intensity on a coral reef. Version 13 July 2018
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	2018-07-09T21:09:31Z
attribute	NC_GLOBAL	date_modified	String	2018-08-21T20:41:31Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.744498
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/739601
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	LI-COR Biospherical PAR
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Used to determine PAR
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	742234
attribute	NC_GLOBAL	instruments_0_description	String	The LI-COR Biospherical PAR Sensor is used to measure Photosynthetically Available Radiation (PAR) in the water column. This instrument designation is used when specific make and model are not known.
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0074/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	LI-COR Biospherical PAR Sensor
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	480
attribute	NC_GLOBAL	instruments_0_supplied_name	String	PAR Sensor
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, light, management, mean, month, oceanography, office, precipitation, preliminary, rain, rainfall, surface, SurfaceLight_Mean, SurfaceLight_SE, year
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/739601/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/739601
attribute	NC_GLOBAL	param_mapping	String	{'739601': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/739601/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	California State University Northridge
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	CSU-Northridge
attribute	NC_GLOBAL	people_0_person_name	String	Peter J. Edmunds
attribute	NC_GLOBAL	people_0_person_nid	String	51536
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	Hannah Ake
attribute	NC_GLOBAL	people_1_person_nid	String	650173
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	VI Octocorals,RUI-LTREB
attribute	NC_GLOBAL	projects_0_acronym	String	VI Octocorals
attribute	NC_GLOBAL	projects_0_description	String	The recent past has not been good for coral reefs, and journals have been filled with examples of declining coral cover, crashing fish populations, rising cover of macroalgae, and a future potentially filled with slime. However, reefs are more than the corals and fishes for which they are known best, and their biodiversity is affected strongly by other groups of organisms. The non-coral fauna of reefs is being neglected in the rush to evaluate the loss of corals and fishes, and this project will add on to an on-going long term ecological study by studying soft corals. This project will be focused on the ecology of soft corals on reefs in St. John, USVI to understand the Past, Present and the Future community structure of soft corals in a changing world. For the Past, the principal investigators will complete a retrospective analysis of octocoral abundance in St. John between 1992 and the present, as well as Caribbean-wide since the 1960's. For the Present, they will: (i) evaluate spatio-temporal changes between soft corals and corals, (ii) test for the role of competition with macroalgae and between soft corals and corals as processes driving the rising abundance of soft corals, and (iii) explore the role of soft corals as "animal forests" in modifying physical conditions beneath their canopy, thereby modulating recruitment dynamics. For the Future the project will conduct demographic analyses on key soft corals to evaluate annual variation in population processes and project populations into a future impacted by global climate change. This project was funded to provide and independent "overlay" to the ongoing LTREB award (DEB-1350146, co-funded by OCE, PI Edmunds) focused on the long-term dynamics of coral reefs in St. John. Note: This project is closely associated with the project "RAPID: Resilience of Caribbean octocorals following Hurricanes Irma and Maria". See: https://www.bco-dmo.org/project/749653. The following publications and data resulted from this project: 2017 Tsounis, G., and P. J. Edmunds. Three decades of coral reef community dynamics in St. John, USVI: a contrast of scleractinians and octocorals. Ecosphere 8(1):e01646. DOI: 10.1002/ecs2.1646Rainfall and temperature dataCoral and macroalgae abundance and distributionDescriptions of hurricanes affecting St. John 2016 Gambrel, B. and Lasker, H.R. Marine Ecology Progress Series 546: 85–95, DOI: 10.3354/meps11670Colony to colony interactionsEunicea flexuosa interactionsGorgonia ventalina asymmetryNearest neighbor surveys 2015 Lenz EA, Bramanti L, Lasker HR, Edmunds PJ. Long-term variation of octocoral populations in St. John, US Virgin Islands. Coral Reefs DOI 10.1007/s00338-015-1315-xoctocoral survey - densitiesoctocoral counts - photoquadrats vs. insitu surveyoctocoral literature reviewDownload complete data for this publication (Excel file) 2015 Privitera-Johnson, K., et al., Density-associated recruitment in octocoral communities in St. John, US Virgin Islands, J.Exp. Mar. Biol. Ecol. DOI: 10.1016/j.jembe.2015.08.006octocoral density dependenceDownload complete data for this publication (Excel file) Other datasets related to this project:octocoral transects - adult colony height
attribute	NC_GLOBAL	projects_0_end_date	String	2016-08
attribute	NC_GLOBAL	projects_0_geolocation	String	St. John, US Virgin Islands: 18.3185, 64.7242
attribute	NC_GLOBAL	projects_0_name	String	Ecology and functional biology of octocoral communities
attribute	NC_GLOBAL	projects_0_project_nid	String	562086
attribute	NC_GLOBAL	projects_0_project_website	String	http://coralreefs.csun.edu/
attribute	NC_GLOBAL	projects_0_start_date	String	2013-09
attribute	NC_GLOBAL	projects_1_acronym	String	RUI-LTREB
attribute	NC_GLOBAL	projects_1_description	String	Describing how ecosystems like coral reefs are changing is at the forefront of efforts to evaluate the biological consequences of global climate change and ocean acidification. Coral reefs have become the poster child of these efforts. Amid concern that they could become ecologically extinct within a century, describing what has been lost, what is left, and what is at risk, is of paramount importance. This project exploits an unrivalled legacy of information beginning in 1987 to evaluate the form in which reefs will persist, and the extent to which they will be able to resist further onslaughts of environmental challenges. This long-term project continues a 27-year study of Caribbean coral reefs. The diverse data collected will allow the investigators to determine the roles of local and global disturbances in reef degradation. The data will also reveal the structure and function of reefs in a future with more human disturbances, when corals may no longer dominate tropical reefs. The broad societal impacts of this project include advancing understanding of an ecosystem that has long been held emblematic of the beauty, diversity, and delicacy of the biological world. Proposed research will expose new generations of undergraduate and graduate students to natural history and the quantitative assessment of the ways in which our planet is changing. This training will lead to a more profound understanding of contemporary ecology at the same time that it promotes excellence in STEM careers and supports technology infrastructure in the United States. Partnerships will be established between universities and high schools to bring university faculty and students in contact with k-12 educators and their students, allow teachers to carry out research in inspiring coral reef locations, and motivate children to pursue STEM careers. Open access to decades of legacy data will stimulate further research and teaching.
attribute	NC_GLOBAL	projects_1_end_date	String	2019-04
attribute	NC_GLOBAL	projects_1_geolocation	String	USVI
attribute	NC_GLOBAL	projects_1_name	String	RUI-LTREB Renewal: Three decades of coral reef community dynamics in St. John, USVI: 2014-2019
attribute	NC_GLOBAL	projects_1_project_nid	String	734983
attribute	NC_GLOBAL	projects_1_project_website	String	http://coralreefs.csun.edu/
attribute	NC_GLOBAL	projects_1_start_date	String	2014-05
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	Data supporting publication through measurements of rainfall on St. John and surface light adjacent to Lameshur Bay. These data describe rainfall on the north shore of St. John as measured by R. Boulon using a manual rain gauge.
attribute	NC_GLOBAL	title	String	[Rainfall and surface light intensity] - Measurements of rainfall and surface light intensity (PAR) in St. John, US Virgin Islands from 2014-2017. (Collaborative research: Ecology and functional biology of octocoral communities)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Year		short
attribute	Year	_FillValue	short	32767
attribute	Year	actual_range	short	2014, 2017
attribute	Year	bcodmo_name	String	year
attribute	Year	description	String	Year of sampling
attribute	Year	long_name	String	Year
attribute	Year	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/
attribute	Year	units	String	unitless
variable	Month		String
attribute	Month	bcodmo_name	String	unknown
attribute	Month	description	String	Month of sampling
attribute	Month	long_name	String	Month
attribute	Month	units	String	unitless
variable	Rainfall		float
attribute	Rainfall	_FillValue	float	NaN
attribute	Rainfall	actual_range	float	0.3556, 35.2552
attribute	Rainfall	bcodmo_name	String	precip_level
attribute	Rainfall	description	String	Rainfall per month
attribute	Rainfall	long_name	String	Rainfall
attribute	Rainfall	units	String	centimeters per month
variable	SurfaceLight_Mean		float
attribute	SurfaceLight_Mean	_FillValue	float	NaN
attribute	SurfaceLight_Mean	actual_range	float	34.08, 56.26
attribute	SurfaceLight_Mean	bcodmo_name	String	PAR_photons
attribute	SurfaceLight_Mean	description	String	Surface light mean
attribute	SurfaceLight_Mean	long_name	String	Surface Light Mean
attribute	SurfaceLight_Mean	units	String	umol photons per square meter per day
variable	SurfaceLight_SE		float
attribute	SurfaceLight_SE	_FillValue	float	NaN
attribute	SurfaceLight_SE	actual_range	float	0.59, 2.56
attribute	SurfaceLight_SE	bcodmo_name	String	PAR_photons
attribute	SurfaceLight_SE	description	String	Surface light mean standard error
attribute	SurfaceLight_SE	long_name	String	Surface Light SE
attribute	SurfaceLight_SE	units	String	umol photons per square meter per day

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.