ERDDAP > info > bcodmo_dataset_709963

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	[Fish roadside surveys 2014-2015] - Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project) (Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems)		I   M	background			BCO-DMO	bcodmo_dataset_709963

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	Each Sunday morning from June 2014 through November 2015, an observer surveyed fish being sold along the roadside on the island of Moorea.\u00a0 On each survey date, the observer drove along the ring road which circles the islands along the shoreline, stopping to interview anyone selling fish by the road.\u00a0 With the permission of the seller, the observer photographed the fish for sale, which were typically presented on strings hanging from large racks. The observer also asked a series of questions to the seller about how the fish were caught. Participation in this survey was voluntary, and so the catch reported here does not represent a complete sample of fish being sold by the roadside. A single observer performed all surveys, so a few Sundays in this period were not sampled because of logistical constraints Fish in each photograph were identified to the highest taxonomic resolution possible, often to species but usually at least genus. The size of each fish was estimated by drawing a line from nose to tail and then comparing the length of that line to the length of a 0.5 m sizing bar that was included in each photograph. Image analyses were performed in the computer program \u201cimageJ\u201d (Rasband, NIH) and species identities and sizes have been merged together with the survey responses of the fish sellers in the data set provided.
attribute	NC_GLOBAL	awards_0_award_nid	String	568845
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1325652
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1325652
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	awards_1_award_nid	String	568852
attribute	NC_GLOBAL	awards_1_award_number	String	OCE-1325554
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1325554
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_1_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Roadside Surveys of Fish in Moorea, 2014-2015 S. Holbrook, A. Rassweiler, and M. Lauer, PIs Version 5 August 2017
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	2017-07-26T22:38:06Z
attribute	NC_GLOBAL	date_modified	String	2019-03-20T19:07:02Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.709963.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/709963
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	keywords	String	average, average_fishing_days_per_week, bco, bco-dmo, biological, boat, boat_type, caught, chemical, crew, data, dataset, date, days, departure, departure_time, dmo, erddap, event, fisher, fishing, gear, gear_1, gear_2, gear_3, gender, genus, habitat, habitat_caught, hours, hours_fishing, is_seller_the_fisher, length, location_caught, location_sold, management, motor, oceanography, office, per, preliminary, seller, sold, species, survey, survey_event, time, type, week
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/709963/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/709963
attribute	NC_GLOBAL	param_mapping	String	{'709963': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/709963/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of California-Santa Barbara
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	UCSB
attribute	NC_GLOBAL	people_0_person_name	String	Sally Holbrook
attribute	NC_GLOBAL	people_0_person_nid	String	51537
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	San Diego State University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	SDSU
attribute	NC_GLOBAL	people_1_person_name	String	Dr Matthew Lauer
attribute	NC_GLOBAL	people_1_person_nid	String	568854
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	University of California-Santa Barbara
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	UCSB
attribute	NC_GLOBAL	people_2_person_name	String	Dr Andrew Rassweiler
attribute	NC_GLOBAL	people_2_person_nid	String	568849
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	University of California-Santa Barbara
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	UCSB
attribute	NC_GLOBAL	people_3_person_name	String	Dr Andrew Rassweiler
attribute	NC_GLOBAL	people_3_person_nid	String	568849
attribute	NC_GLOBAL	people_3_role	String	Contact
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	people_4_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_4_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_4_person_name	String	Hannah Ake
attribute	NC_GLOBAL	people_4_person_nid	String	650173
attribute	NC_GLOBAL	people_4_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_4_role_type	String	related
attribute	NC_GLOBAL	project	String	Coral reef fishery
attribute	NC_GLOBAL	projects_0_acronym	String	Coral reef fishery
attribute	NC_GLOBAL	projects_0_description	String	Description from NSF award abstract: This project will assess resilience in a coral reef social-ecological system. Over the last several decades, reefs around the Pacific island of Mo'orea, French Polynesia, have consistently reassembled to coral dominance after being impacted by major perturbations. Resilience to disturbance is a key component of coastal sustainability, as it maintains the reefs in a state capable of providing critical ecosystem services. The resilience of reefs in Mo'orea is particularly striking, given that coral reefs in many regions have experienced abrupt and potentially irreversible shifts from a coral dominated state, with complex structure and a rich fish community, to a macroalgae dominated state with fewer fish. This project will contribute to more sustainable management of coral reefs by identifying pathways that confer resilience, highlighting emerging vulnerabilities, and suggesting policy initiatives in areas such as integrated coastal zone management and sustainable development planning. An integrative social and natural science approach will be employed that addresses place-based questions about resilience, sustainability and adaptive capacity of coastal systems. A framework will be developed for addressing more complex questions about the Moorea social-ecological system, and this will provide a model for the integration of ecology and social science in other coastal systems. Research results will be disseminated broadly through stakeholder workshops, and graduate students will be engaged in all aspects of the work. While the dynamics of state shifts are fundamental to understanding the resilience and long-term sustainability of coral reef social-ecological systems, the interplay between anthropogenic and ecological feedbacks is poorly understood in these systems. Systems with high population densities, widespread coastal development and intense resource exploitation typically show declines in the critical adaptive capacities that underpin resilience to local environmental variability. However, Moorea has maintained its resilience despite rapid development. This project will explore how the complex feedbacks in the Mo'orea coral reef social-ecological system maintain its capacity to withstand large-scale ecological disturbances. The study will involve interdisciplinary collaboration between social and natural scientists. Anthropological fieldwork focusing on the human dimensions of coral reef use, traditional governance, and indigenous ecological knowledge, will document how local communities perceive, respond to, and manage changes in ecosystem state. Ecological models will describe the dynamics of coral, algal and fish communities, including the feedbacks that make these communities susceptible to abrupt shifts in ecosystem state. These components will be integrated in a systems modeling framework that includes feedbacks both within and between the human and natural communities, quantitatively modeling how humans change their behavior as a function of ecosystem state and how the ecosystem is affected in turn by human activities. A key objective is to bridge the gap between data collected by social scientists and the dynamic ecosystem models developed by ecologists, as this is crucial to understanding the resilience and long-term sustainability of coastal social-ecological systems worldwide. This project is supported under NSF's Coastal SEES (Science, Engineering and Education for Sustainability) program.
attribute	NC_GLOBAL	projects_0_end_date	String	2016-09
attribute	NC_GLOBAL	projects_0_geolocation	String	Moorea, French Polynesia; 17S, 150W
attribute	NC_GLOBAL	projects_0_name	String	Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems
attribute	NC_GLOBAL	projects_0_project_nid	String	568846
attribute	NC_GLOBAL	projects_0_project_website	String	http://lauer.sdsu.edu/sees/index.html
attribute	NC_GLOBAL	projects_0_start_date	String	2013-10
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	Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project)
attribute	NC_GLOBAL	title	String	[Fish roadside surveys 2014-2015] - Weekly survey of fish sold by the roadside in Moorea, French Polynesia in 2014 and 2015 (Coral reef fishery project) (Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	location_caught		String
attribute	location_caught	bcodmo_name	String	region
attribute	location_caught	description	String	The location of the seller reports the fish were caught
attribute	location_caught	long_name	String	Location Caught
attribute	location_caught	units	String	unitless
variable	location_sold		String
attribute	location_sold	bcodmo_name	String	region
attribute	location_sold	description	String	The location of the seller (Community within the island of Morea)
attribute	location_sold	long_name	String	Location Sold
attribute	location_sold	units	String	unitless
variable	genus		String
attribute	genus	bcodmo_name	String	genus
attribute	genus	description	String	Genus of fish observed; Some fish were identified only to family. In such cases the family name was entered in the genus column with the suffix _fam. So Carangidae_fam indicates the fish was in the family Carangidae but the genus could not be identified from the photo. Some fish could only be identified as one of two or more genera. In these cases the following codes were used: Acan_Cten = either Acanthurus or Ctenochaetus; Calo_Scar = either Calotomus or Scarus; Chlor_Scar = either Chlorurus or Scarus
attribute	genus	long_name	String	Genus
attribute	genus	units	String	unitless
variable	species		String
attribute	species	bcodmo_name	String	species
attribute	species	description	String	Species of fish observed (or "unidentified if species unknown")
attribute	species	long_name	String	Species
attribute	species	units	String	unitless
variable	survey_event		short
attribute	survey_event	_FillValue	short	32767
attribute	survey_event	actual_range	short	1000, 1218
attribute	survey_event	bcodmo_name	String	event code
attribute	survey_event	description	String	Serial number identifying the survey event (a rack of fish being photographed on a particular day
attribute	survey_event	long_name	String	Survey Event
attribute	survey_event	units	String	unitless
variable	date		String
attribute	date	bcodmo_name	String	date
attribute	date	description	String	Date of sampling event; 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	source_name	String	date
attribute	date	time_precision	String	1970-01-01
attribute	date	units	String	unitless
variable	length		float
attribute	length	_FillValue	float	NaN
attribute	length	actual_range	float	4.4E-4, 0.01262
attribute	length	bcodmo_name	String	length
attribute	length	description	String	Length of fish (nose to tail) in cm. Blank cells indicate that length could not be obtained (typically because the fish was obscured)
attribute	length	long_name	String	Length
attribute	length	units	String	centimeters
variable	habitat_caught		String
attribute	habitat_caught	bcodmo_name	String	site_descrip
attribute	habitat_caught	description	String	The primary habitat in which the seller reports the fish were caught
attribute	habitat_caught	long_name	String	Habitat Caught
attribute	habitat_caught	units	String	unitless
variable	gear_1		String
attribute	gear_1	bcodmo_name	String	sampling_method
attribute	gear_1	description	String	Primary gear used in fishing
attribute	gear_1	long_name	String	Gear 1
attribute	gear_1	units	String	unitless
variable	gear_2		String
attribute	gear_2	bcodmo_name	String	sampling_method
attribute	gear_2	description	String	Additional gear used (if any)
attribute	gear_2	long_name	String	Gear 2
attribute	gear_2	units	String	unitless
variable	gear_3		String
attribute	gear_3	bcodmo_name	String	sampling_method
attribute	gear_3	description	String	Additional gear used (if any)
attribute	gear_3	long_name	String	Gear 3
attribute	gear_3	units	String	unitless
variable	boat_type		String
attribute	boat_type	bcodmo_name	String	brief_desc
attribute	boat_type	description	String	Boat type
attribute	boat_type	long_name	String	Boat Type
attribute	boat_type	units	String	unitless
variable	motor		String
attribute	motor	bcodmo_name	String	unknown
attribute	motor	description	String	Does the boat have a motor? (Y/N)
attribute	motor	long_name	String	Motor
attribute	motor	units	String	unitless
variable	crew		float
attribute	crew	_FillValue	float	NaN
attribute	crew	actual_range	float	0.0, 7.0
attribute	crew	bcodmo_name	String	unknown
attribute	crew	description	String	Number of crew on the fishing trip
attribute	crew	long_name	String	Crew
attribute	crew	units	String	unitless
variable	departure_time		String
attribute	departure_time	bcodmo_name	String	time
attribute	departure_time	description	String	Time fishing started; HH:MM
attribute	departure_time	long_name	String	Departure Time
attribute	departure_time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/
attribute	departure_time	units	String	unitless
variable	hours_fishing		String
attribute	hours_fishing	bcodmo_name	String	duration
attribute	hours_fishing	description	String	Duration of fishing
attribute	hours_fishing	long_name	String	Hours Fishing
attribute	hours_fishing	units	String	hours
variable	is_seller_the_fisher		String
attribute	is_seller_the_fisher	bcodmo_name	String	unknown
attribute	is_seller_the_fisher	description	String	Identifies whether the person being interviewed caught the fish (Y/N)
attribute	is_seller_the_fisher	long_name	String	Is Seller The Fisher
attribute	is_seller_the_fisher	units	String	unitless
variable	gender		String
attribute	gender	bcodmo_name	String	unknown
attribute	gender	description	String	Gender of seller
attribute	gender	long_name	String	Gender
attribute	gender	units	String	unitless
variable	average_fishing_days_per_week		String
attribute	average_fishing_days_per_week	bcodmo_name	String	days
attribute	average_fishing_days_per_week	description	String	Days the seller reports fishing per week on average
attribute	average_fishing_days_per_week	long_name	String	Average Fishing Days Per Week
attribute	average_fishing_days_per_week	units	String	days

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.