Global monthly catch of tuna and tuna-like species (1950-01-01 - 2019-12-31) aggregated by statistical squares of 5° longitude and latitude (FIRMS level 0)

• Main Author: Food And Agriculture Organization Of The United Nations
• Format: Dataset
• Language: unknown
• Published: Zenodo 2021
• Subjects: Commission for the Conservation of Southern Bluefin Tuna; Inter-American Tropical Tuna Commission; International Commission for the Conservation of Atlantic Tunas; Indian Ocean Tuna Commission; Western and Central Pacific Fisheries Commission; Angola; Albania; Argentina; Australia; Benin; Belize; Bermuda; Bolivia Plurinat.State; Brazil; Barbados; Canada; Chile; China; Côte d'Ivoire; Congo; Republic of; Cook Islands; Colombia; Comoros; Cabo Verde; Costa Rica; Cuba; Curaçao; Cayman Islands; Dominica; Algeria; Ecuador; Egypt; Bulgaria EU; Cyprus EU; Germany EU; Denmark EU; Spain EU; France EU; United Kingdom EU; Greece EU; Croatia EU; Ireland EU; Italy EU; Malta EU; Netherlands EU; Poland EU; Portugal EU; Fiji; Falkland Is.Malvinas; Faroe Islands; Micronesia; Fed.States of; Gabon; UK territories; Ghana; Guinea; Equatorial Guinea; Grenada; Guatemala; Honduras; Indonesia; India; Iran Islamic Rep. of; Iceland; Japan; Kenya; Kiribati; Saint Kitts and Nevis; Korea; Libya; Sri Lanka; Morocco; Madagascar; Maldives; Mexico; Marshall Islands; Mozambique; Mauritius; Malaysia; Namibia; New Caledonia; Other nei; Nicaragua; Niue; Norway; New Zealand; Oman; Pakistan; Panama; Peru; Philippines; Palau; Papua New Guinea; French Polynesia; Russian Federation; Serbia and Montenegro; Senegal; Saint Helena; Solomon Islands; Sierra Leone; El Salvador; St. Pierre and Miquelon; Un. Sov. Soc. Rep.; Seychelles; Syrian Arab Republic; Turks and Caicos Is.; Thailand; Tonga; Trinidad and Tobago; Tunisia; Turkey; Tuvalu; Taiwan Province of China; Ukraine; Uruguay; United States of America; Saint Vincent/Grenadines; Venezuela; Boliv Rep of; British Virgin Islands; Vanuatu; Samoa; Yemen; Yugoslavia SFR; South Africa; Purse seines; Surrounding nets without purse lines; Beach seines; Midwater pair trawls; Midwater trawls nei; Trawls nei; Lift nets nei; Cast nets; Falling gear nei; Drift gillnets; Trammel nets; Gillnets and entangling nets nei; Aerial traps; Traps nei; Handlines and hand-operated pole-and-lines; Mechanized lines and pole-and-lines; Set longlines; Drifting longlines; Longlines nei; Trolling lines; Hooks and lines nei; Harpoons; Gear nei; Gear not known; Atlantic bonito; Sarda sarda; Plain bonito; Orcynopsis unicolor; Wahoo; Acanthocybium solandri; Narrow-barred Spanish mackerel; Scomberomorus commerson; King mackerel; Scomberomorus cavalla; Atlantic Spanish mackerel; Scomberomorus maculatus; Cero; Scomberomorus regalis; West African Spanish mackerel; Scomberomorus tritor; Serra Spanish mackerel; Scomberomorus brasiliensis; Frigate tuna; Auxis thazard; Bullet tuna; Auxis rochei; Little tunny=Atl.black skipj; Euthynnus alletteratus; Black skipjack; Euthynnus lineatus; Kawakawa; Euthynnus affinis; Skipjack tuna; Katsuwonus pelamis; Atlantic bluefin tuna; Thunnus thynnus; Pacific bluefin tuna; Thunnus orientalis; Longtail tuna; Thunnus tonggol; Blackfin tuna; Thunnus atlanticus; Albacore; Thunnus alalunga; Southern bluefin tuna; Thunnus maccoyii; Yellowfin tuna; Thunnus albacares; Bigeye tuna; Thunnus obesus; Slender tuna; Allothunnus fallai; Indo-Pacific sailfish; Istiophorus platypterus; Atlantic sailfish; Istiophorus albicans; Blue marlin; Makaira nigricans; Black marlin; Makaira indica; Striped marlin; Tetrapturus audax; Atlantic white marlin; Tetrapturus albidus; Shortbill spearfish; Tetrapturus angustirostris; Longbill spearfish; Tetrapturus pfluegeri; Swordfish; Xiphias gladius; Bonitos nei; Sarda spp; Frigate and bullet tunas; A. rochei; Tunas nei; Thunnini; Marlins; sailfishes; etc. nei; Istiophoridae; Tuna-like fishes nei; Scombroidei; Shortfin mako; Isurus oxyrinchus; Porbeagle; Lamna nasus; Blue shark; Prionace glauca; Blacktip shark; Carcharhinus limbatus; Blacktip reef shark; Carcharhinus melanopterus; Oceanic whitetip shark; Carcharhinus longimanus; Silky shark; Carcharhinus falciformis; Smooth hammerhead; Sphyrna zygaena; Scalloped hammerhead; Sphyrna lewini; Thresher sharks nei; Alopias spp; Mako sharks; Isurus spp; Mackerel sharks; porbeagles nei; Lamnidae; Requiem sharks nei; Carcharhinidae; Hammerhead sharks nei; Sphyrna spp; Hammerhead sharks; Sphyrnidae; Various sharks nei; Selachimorpha Pleurotremata; Dolphin; Free school; Log school; Other set types combined; Undefined school; Unknown; number of fishes; metric tons; Pacific; Indian; Trinidad; Saint-Vincent
• Online Access: https://dx.doi.org/10.5281/zenodo.5746041; https://zenodo.org/record/5746041

This dataset lists the global monthly-spatially aggregated catch of tuna and tuna-like species (i.e. billfish,bonitos,and mackerel) from 1950-01-01 to 2019-12-31. 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 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/CEAll - 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 WCPFC data within the overlapping zone between the IATTC and the WCPFC areas of competence,as information on reporting / fishing fleet is available from IATTC only; 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; In addition,data that were provided at spatial resolutions inferior to 5° x 5° were aggregated to the corresponding 5° x 5° quadrant. Data that were provided at lower spatial resolutions than 5° x 5° grids were not disaggregated. More details on the processes are provided in the lineage section.