ERDDAP > info > bcodmo_dataset_752795

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	Home range and body size data compiled from the literature for marine and terrestrial vertebrates		I   M	background			BCO-DMO	bcodmo_dataset_752795

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	We compiled the home range size of a representative selection of adult marine and terrestrial vertebrates: seabirds (n = 19), marine reptiles (n = 6), marine fishes (n = 20), marine mammals (n = 22), terrestrial birds (n = 95), terrestrial reptiles (n = 65), and terrestrial mammals (n = 616). We only accepted home range estimates that described > 75% of an adult individual's total utilized area. Home range sizes in our compilation were estimated by authors using a variety of analytical techniques, including kernel utilization distributions, minimum convex polygon estimates, and geometric estimation techniques. We primarily accepted studies that used satellite, radio, or acoustic telemetry to obtain data for home range size estimation, though estimates produced from visual observations were accepted if a species' home range was small enough that the author could accurately describe it in its entirety without issue (e.g., the 1.3x10-5 km2 home range of the 2 g lizard Anolis distichus). If multiple home range estimates meeting these criteria were available from different studies on the same species, we averaged these values. Likewise, we averaged values for different groups of individuals within a species (e.g., sexes) if these values were reported in a single study. Data on the adult body mass of all species included in the home range dataset were preferentially drawn from the primary literature source from which home range data were taken. If body mass data were not available in these sources, they were collected from alternate databases or from peer- reviewed publications. Scientific names in this dataset were obtained from literature and include some misspelled names and unaccepted synonyms. These names were matched to species in several authoritative name sources. Taxonomic identifiers and match quality results can be found in the supplemental document "Species Name Match Results."
attribute	NC_GLOBAL	awards_0_award_nid	String	559955
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1426891
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1426891
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	Vertebrate home range and body size PI: Malin Pinsky Data version 1: 2019-01-31
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	2019-01-16T14:10:50Z
attribute	NC_GLOBAL	date_modified	String	2019-03-26T19:17:02Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.752795.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/752795
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, group, management, oceanography, office, preliminary, refs, species, system
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/752795/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/752795
attribute	NC_GLOBAL	param_mapping	String	{'752795': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/752795/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Rutgers University
attribute	NC_GLOBAL	people_0_person_name	String	Malin Pinsky
attribute	NC_GLOBAL	people_0_person_nid	String	554708
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	University of California-Santa Barbara
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	UCSB
attribute	NC_GLOBAL	people_1_person_name	String	Doug McCauley
attribute	NC_GLOBAL	people_1_person_nid	String	752800
attribute	NC_GLOBAL	people_1_role	String	Contact
attribute	NC_GLOBAL	people_1_role_type	String	related
attribute	NC_GLOBAL	people_2_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_2_person_name	String	Amber York
attribute	NC_GLOBAL	people_2_person_nid	String	643627
attribute	NC_GLOBAL	people_2_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_2_role_type	String	related
attribute	NC_GLOBAL	project	String	CC Fishery Adaptations
attribute	NC_GLOBAL	projects_0_acronym	String	CC Fishery Adaptations
attribute	NC_GLOBAL	projects_0_description	String	Description from NSF award abstract: Climate change presents a profound challenge to the sustainability of coastal systems. Most research has overlooked the important coupling between human responses to climate effects and the cumulative impacts of these responses on ecosystems. Fisheries are a prime example of this feedback: climate changes cause shifts in species distributions and abundances, and fisheries adapt to these shifts. However, changes in the location and intensity of fishing also have major ecosystem impacts. This project's goal is to understand how climate and fishing interact to affect the long-term sustainability of marine populations and the ecosystem services they support. In addition, the project will explore how to design fisheries management and other institutions that are robust to climate-driven shifts in species distributions. The project focuses on fisheries for summer flounder and hake on the northeast U.S. continental shelf, which target some of the most rapidly shifting species in North America. By focusing on factors affecting the adaptation of fish, fisheries, fishing communities, and management institutions to the impacts of climate change, this project will have direct application to coastal sustainability. The project involves close collaboration with the National Oceanic and Atmospheric Administration, and researchers will conduct regular presentations for and maintain frequent dialogue with the Mid-Atlantic and New England Fisheries Management Councils in charge of the summer flounder and hake fisheries. To enhance undergraduate education, project participants will design a new online laboratory investigation to explore the impacts of climate change on fisheries, complete with visualization tools that allow students to explore inquiry-driven problems and that highlight the benefits of teaching with authentic data. This project is supported as part of the National Science Foundation's Coastal Science, Engineering, and Education for Sustainability program - Coastal SEES. The project will address three questions: 1) How do the interacting impacts of fishing and climate change affect the persistence, abundance, and distribution of marine fishes? 2) How do fishers and fishing communities adapt to species range shifts and related changes in abundance? and 3) Which institutions create incentives that sustain or maximize the value of natural capital and comprehensive social wealth in the face of rapid climate change? An interdisciplinary team of scientists will use dynamic range and statistical models with four decades of geo-referenced data on fisheries catch and fish biogeography to determine how fish populations are affected by the cumulative impacts of fishing, climate, and changing species interactions. The group will then use comprehensive information on changes in fisher behavior to understand how fishers respond to changes in species distribution and abundance. Interviews will explore the social, regulatory, and economic factors that shape these strategies. Finally, a bioeconomic model for summer flounder and hake fisheries will examine how spatial distribution of regulatory authority, social feedbacks within human communities, and uncertainty affect society's ability to maintain natural and social capital.
attribute	NC_GLOBAL	projects_0_end_date	String	2018-08
attribute	NC_GLOBAL	projects_0_geolocation	String	Northeast US Continental Shelf Large Marine Ecosystem
attribute	NC_GLOBAL	projects_0_name	String	Adaptations of fish and fishing communities to rapid climate change
attribute	NC_GLOBAL	projects_0_project_nid	String	559948
attribute	NC_GLOBAL	projects_0_start_date	String	2014-09
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	Home range and body size data compiled from the literature for marine and terrestrial vertebrates.
attribute	NC_GLOBAL	title	String	Home range and body size data compiled from the literature for marine and terrestrial vertebrates
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	System		String
attribute	System	bcodmo_name	String	brief_desc
attribute	System	description	String	System (Marine or Terrestrial)
attribute	System	long_name	String	System
attribute	System	units	String	unitless
variable	Group		String
attribute	Group	bcodmo_name	String	brief_desc
attribute	Group	description	String	Group (M = Mammals, B = Birds, R = Reptiles, F = Fishes)
attribute	Group	long_name	String	Group
attribute	Group	units	String	unitless
variable	Species		String
attribute	Species	bcodmo_name	String	taxon
attribute	Species	description	String	Species name from literature
attribute	Species	long_name	String	Species
attribute	Species	units	String	unitless
variable	BM		int
attribute	BM	_FillValue	int	2147483647
attribute	BM	actual_range	int	1, 79691179
attribute	BM	bcodmo_name	String	weight
attribute	BM	description	String	Body mass
attribute	BM	long_name	String	BM
attribute	BM	units	String	grams (g)
variable	HR		float
attribute	HR	_FillValue	float	NaN
attribute	HR	actual_range	float	1.0E-6, 2605360.0
attribute	HR	bcodmo_name	String	range
attribute	HR	description	String	Home range
attribute	HR	long_name	String	HR
attribute	HR	units	String	square kilometers (km^2)
variable	Refs		String
attribute	Refs	bcodmo_name	String	unknown
attribute	Refs	description	String	Reference identification number for resources used for home range data. Any numbers that follow semi-colons were used for body mass data. References associated with these numbers can be found in the supplemental document "McCauley_et_al_2015_references.pdf."
attribute	Refs	long_name	String	Refs
attribute	Refs	units	String	unitless

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.