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Title Sum-
Institution Dataset ID
     data   graph     files  public Home range and body size data compiled from the literature for marine and terrestrial
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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
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 (external link)
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/ (external link)
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 (external link)
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 (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/752795 (external link)
attribute NC_GLOBAL param_mapping String {'752795': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/752795/parameters (external link)
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.

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