Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC 0
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC 0
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC 0
Data sources: Datacite
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Global monthly catch of tuna and tuna-like species (1952-01-01 - 2019-12-31) by purse seiners and pole-and-liners in the Indian, Atlantic and Eastern Pacific oceans aggregated by statistical squares of 1° longitude and latitude (FIRMS level 0)

Authors: Food and Agriculture Organization of the United Nations;

Global monthly catch of tuna and tuna-like species (1952-01-01 - 2019-12-31) by purse seiners and pole-and-liners in the Indian, Atlantic and Eastern Pacific oceans aggregated by statistical squares of 1° longitude and latitude (FIRMS level 0)

Abstract

This dataset lists the monthly-spatially aggregated catch of tuna and tuna-like species (i.e. billfish,bonitos,and mackerel) by purse seiners and pole-and-liners from 1952-01-01 to 2019-12-31 in the Indian,Atlantic and Eastern Pacific Oceans. This dataset was computed using public domain georeferenced catch-and-effort datasets released by the five tuna Regional Fisheries Management Organizations:the Commission for the Conservation of Southern Bluefin Tuna (CCSBT),the Inter-American Tropical Tuna Commission (IATTC),the International Commission for the Conservation of Atlantic Tunas (ICCAT),the Indian Ocean Tuna Commission (IOTC) and the Western and Central Pacific Fisheries Commission (WCPFC). Species-specific catches expressed in weight or number are stratified by year,month,reporting / fishing fleet,fishing gear,fishing mode (i.e. type of school association) and area (statistical squares of 1° longitude and latitude). Data from the Western Pacific ocean were not included because WCPFC only provides purse seine and pole-and-line catch at a spatial resolution of statistical squares of 5° longitude and latitude. "FIRMS level 0" identifies the processes applied to the primary datasets by the FIsheries and Resources Monitoring System (FIRMS) to generate the dataset. t-RFMO specific descriptions of the original input data sets can be found at the following links: - CCSBT:https://www.ccsbt.org/en/content/sbt-data - IATTC:https://www.iattc.org/ - ICCAT:https://www.iccat.int/en/accesingdb.html - IOTC:https://iotc.org/data/datasets/latest/CESurface - WCPFC:https://www.wcpfc.int/public-domain The processes applied to produce this FIRMS level 0 dataset at global scale consist of a series of steps:Original catch-and-effort data are disseminated in such a way that redundancy may exist between the various datasets released,or that dimensions may be split over the datasets for some strata. To cope with these issues and collate a unique and (possibly) complete value of catch per stratum (i.e. with all the available dimensions),the original datasets had to be merged and post-processed by removing the duplicated strata or reassembling those strata with all available dimensions split over multiple datasets; Removal of all Southern Bluefin Tuna data provided by t-RFMOs other than the Commission for the Conservation of Southern Bluefin Tuna (CCSBT),which is considered the only authoritative source of information for the species Mapping of the original code lists (t-RFMO specific) to standard FAO / CWP code lists (e.g.,for gears and species) or to ad-hoc classifications as in the case of reporting / fishing fleets. These mappings have been done in collaboration with the t-RFMOs Secretariats and might be subject to future revisions More details on the processes are provided in the lineage section.

Country
European Union
Keywords

Tunas nei, Un. Sov. Soc. Rep., Turkey, Thunnus orientalis, Philippines, Various sharks nei, Marlins, Plain bonito, Nicaragua, Thunnus atlanticus, Bulgaria (EU), Ghana, King mackerel, Albacore, Wahoo, Unknown, Makaira indica, Southern bluefin tuna, Peru, Cyprus (EU), Saint Helena, International Commission for the Conservation of Atlantic Tunas, Thunnus alalunga, Atlantic sailfish, Commission for the Conservation of Southern Bluefin Tuna, Dolphin, Blue shark, Surrounding nets without purse lines, Indo-Pacific sailfish, Italy (EU), Belize, Namibia, Morocco, Tuna-like fishes nei, Congo, Makaira nigricans, Mauritius, Egypt, Portugal (EU), Tetrapturus angustirostris, Curaçao, Republic of, Costa Rica, Côte d'Ivoire, Tunisia, Istiophoridae, Panama, Carcharhinus melanopterus, Argentina, Atlantic bluefin tuna, Striped marlin, Colombia, Seychelles, Undefined school, Swordfish, Atlantic bonito, Bullet tuna, Auxis rochei, number of fishes, Kawakawa, El Salvador, Scomberomorus commerson, Pacific bluefin tuna, Porbeagle, West African Spanish mackerel, Istiophorus albicans, Sri Lanka, Korea, Xiphias gladius, Atlantic white marlin, Australia, Frigate and bullet tunas, Blue marlin, Euthynnus lineatus, Venezuela, Sarda spp, Free school, Thunnus albacares, Boliv Rep of, Indian Ocean Tuna Commission, United Kingdom (EU), Thunnus tonggol, Blacktip reef shark, Acanthocybium solandri, A. rochei, Algeria, Tetrapturus pfluegeri, France (EU), Shortbill spearfish, etc. nei, Cayman Islands, Guinea, Greece (EU), Longtail tuna, New Zealand, Orcynopsis unicolor, Euthynnus affinis, Longbill spearfish, Thresher sharks nei, Purse seines, Iceland, Lamna nasus, Handlines and hand-operated pole-and-lines, United States of America, Croatia (EU), Auxis thazard, Yellowfin tuna, South Africa, Japan, Vanuatu, Hammerhead sharks nei, Russian Federation, Alopias spp, Cabo Verde, Sarda sarda, Norway, Mechanized lines and pole-and-lines, metric tons, Bigeye tuna, Other nei, Prionace glauca, Guatemala, Thailand, Bolivia (Plurinat.State), Senegal, Denmark (EU), Albania, Spain (EU), Euthynnus alletteratus, Shortfin mako, Scalloped hammerhead, Narrow-barred Spanish mackerel, Ecuador, Carcharhinus longimanus, Selachimorpha (Pleurotremata), Isurus oxyrinchus, Brazil, Tetrapturus audax, Canada, Skipjack tuna, Saint Vincent/Grenadines, Little tunny(=Atl.black skipj), Frigate tuna, Smooth hammerhead, Libya, Black marlin, Log school, Tetrapturus albidus, Bonitos nei, Syrian Arab Republic, Istiophorus platypterus, Thunnus maccoyii, Scomberomorus cavalla, Oceanic whitetip shark, Gabon, Sphyrna spp, Malta (EU), Blacktip shark, Katsuwonus pelamis, Carcharhinus limbatus, Mexico, Carcharhinus falciformis, Scombroidei, Sphyrna lewini, Inter-American Tropical Tuna Commission, Thunnus obesus, Thunnini, Blackfin tuna, Silky shark, sailfishes, Honduras, Indonesia, Maldives, Thunnus thynnus, Black skipjack, Scomberomorus tritor, Sphyrna zygaena

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average