Global monthly catches from tuna fisheries by 5° grid (1950-2023) (FIRMS level 0)

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Dataset information

Country of origin
Updated
2025.05.22 00:00
Created
2025.01.01
Available languages
English
Keywords
Cook Islands [COK], Lift nets (nei) [05.9], Philippines [PHL], Saint Vincent/Grenadines [VCT], Pakistan [PAK], Venezuela, Boliv Rep of [VEN], Uruguay [URY], Fixed (on stakes) gillnets [07.4], British Virgin Islands [VGB], fishery sciences, True tunas nei [TUS], Egypt [EGY], UK (territories) [GBRT], Mechanized lines and pole-and-lines [09.2], Solomon Islands [SLB], Saint Kitts and Nevis [KNA], Pelagic thresher [PTH], Atlantic bonito [BON], Seychelles [SYC], Undefined school [UNK], Bullet tuna [BLT], Longfin mako [LMA], Trinidad and Tobago [TTO], Narrow-barred Spanish mackerel [COM], fishery statistics, Sri Lanka [LKA], Atlantic white marlin [WHM], Cabo Verde [CPV], Spain (EU) [EUESP], Japan [JPN], Blue shark [BSH], Panama [PAN], Bolivia (Plurinat.State) [BOL], Marshall Islands [MHL], Curaçao [CUW], Dominica [DMA], Purse seines [01.1], Longtail tuna [LOT], Trammel nets [07.5], Syrian Arab Republic [SYR], Silky shark [FAL], Costa Rica [CRI], Croatia (EU) [EUHRV], Beach seines [02.1], Benin [BEN], Senegal [SEN], Ghana [GHA], St. Pierre and Miquelon [SPM], Tonga [TON], Mediterranean spearfish [MSP], Marlins nei [BXQ], Tunisia [TUN], Bigeye tuna [BET], King mackerel [KGM], Thresher sharks nei [THR], Mozambique [MOZ], fishery, El Salvador [SLV], Free school [FS], Belize [BLZ], Hooks and lines (nei) [09.9], Grenada [GRD], Atlantic Spanish mackerel [SSM], Log school [LS], Brazil [BRA], Norway [NOR], Blue marlin [BUM], fishery resource, Tanzania, United Rep. of [TZA], Bottom pair trawls [03.15], Korea, Republic of [KOR], Smooth hammerhead [SPZ], Honduras [HND], Taiwan Province of China [TWN], Marlins,sailfishes,etc. nei [BIL], India [IND], Cyprus (EU) [EUCYP], West African Spanish mackerel [MAW], Colombia [COL], Algeria [DZA], CCSBT [CCSBT], fishery stocks, Surrounding nets without purse lines [01.2], Drift gillnets [07.2], Chilean devil ray [RMT], United Kingdom [GBR], Vertical lines [09.4], Atlantic sailfish [SAI], Frigate tuna [FRI], Fiji, Republic of [FJI], Mexico [MEX], fish stock, Guinea [GIN], Longlines (nei) [09.39], Equatorial Guinea [GNQ], Longbill spearfish [SPF], Original sample [original_sample], Australia [AUS], Southern bluefin tuna [SBF], Pacific bluefin tuna [PBF], Serra Spanish mackerel [BRS], Oceanic whitetip shark [OCS], Yemen [YEM], Wahoo [WAH], Trolling lines [09.5], Iceland [ISL], Falkland Is.(Malvinas) [FLK], Kawakawa [KAW], Morocco [MAR], Yellowfin tuna [YFT], Comoros [COM], Shortfin mako [SMA], Retained catch [RC], Gillnets and entangling nets (nei) [07.9], Bermuda [BMU], Netherlands (EU) [EUNLD], Seerfishes nei [KGX], fisheries management, Slender tuna [SLT], Oman [OMN], Libya [LBY], United States of America [USA], Hammerhead sharks nei [SPN], Denmark (EU) [EUDNK], Harpoons [10.1], Mako sharks [MAK], Indo-Pacific king mackerel [GUT], Blackfin tuna [BLF], Niue [NIU], Other set types combined [OTH], Gabon [GAB], Tuvalu [TUV], Micronesia,Fed.States of [FSM], Bigeye thresher [BTH], fishery data, IATTC [IATTC], Gear not known [99.9], Albacore [ALB], Kenya [KEN], Indo-Pacific sailfish [SFA], Palau [PLW], commercial fishery, Cero [CER], Metric tons [t], Plain bonito [BOP], Peru [PER], Côte d'Ivoire [CIV], Black marlin [BLM], Trawls (nei) [03.9], Nicaragua [NIC], Cayman Islands [CYM], Tunas nei [TUN], Devil fish [RMM], Raised [raised], Porbeagle [POR], New Zealand [NZL], Scalloped hammerhead [SPL], Madagascar [MDG], Canada [CAN], WCFPC [WCPFC], Sierra Leone [SLE], Suriname [SUR], Vanuatu [VUT], Handlines and hand-operated pole-and-lines [09.1], Black skipjack [BKJ], Hammerhead sharks, etc. nei [SPY], Saint Helena [SHN], Thailand [THA], France (EU) [EUFRA], Albania [ALB], Discarded dead [DD], Frigate and bullet tunas [FRZ], Giant manta [RMB], South Africa [ZAF], Mauritius [MUS], Number of fishes [no], Discarded alive [DL], Striped marlin [MLS], Mantas, devil rays nei [MAN], Drifting longlines [09.32], Set longlines [09.31], Little tunny(=Atl.black skipj) [LTA], Stationary uncovered pound nets [08.1], Papua New Guinea [PNG], Russian Federation [RUS], Malta (EU) [EUMLT], Maldives [MDV], IOTC [IOTC], Ireland (EU) [EUIRL], Swordfish [SWO], China [CHN], Shortbill spearfish [SSP], Thresher [ALV], Indonesia [IDN], Atlantic bluefin tuna [BFT], Namibia [NAM], Angola [AGO], ICCAT [ICCAT], Midwater pair trawls [03.22], Seine nets nei [02.9], Congo, Republic of [COG], Argentina [ARG], Guatemala [GTM], Traps (nei) [08.9], Italy (EU) [EUITA], Turkey [TUR], Various sharks nei [SKH], fishery resources, Cuba [CUB], Unknown [unknown], Germany (EU) [EUDEU], Greece (EU) [EUGRC], Malaysia [MYS], Ecuador [ECU], Barbados [BRB], Un. Sov. Soc. Rep. [SUN], Rays, stingrays, mantas nei [SRX], Kiribati [KIR], Great hammerhead [SPK], marine fishery, Midwater trawls (nei) [03.29], Portugal (EU) [EUPRT], Falling gear (nei) [06.9], Requiem sharks nei [RSK], Serbia and Montenegro [SCG], Bulgaria (EU) [EUBGR], Gear nei [10.9], Other nei [NEI], Turks and Caicos Is. [TCA], Samoa [WSM], Skipjack tuna [SKJ], Iran (Islamic Rep. of) [IRN], Bonitos nei [BZX], Faroe Islands [FRO]
Quality scoring

Dataset description

We compiled a comprehensive dataset of geo-referenced catches from global tuna fisheries available on a spatial resolution of 5° grid areas. This dataset was created by harmonizing public domain data from the five tuna Regional Fisheries Management Organizations (t-RFMOs) for the period 1950-2023. Under the auspices of the Fisheries and Resources Monitoring System (FIRMS) of the United Nations Food and Agriculture Organization (FAO), we developed a systematic data flow process in collaboration with the t-RFMO Secretariats. This process involved the implementation of a data exchange format adhering to the standards of the FAO Coordinating Working Party on Fishery Statistics (CWP), facilitating the seamless integration of data into the dataset.Geo-referenced catch data from tuna fisheries are reported in either the number of fish or live-weight equivalent (metric tonnes), with some strata providing catches in both units. The catches primarily represent the quantities of retained fish either landed or transhipped at sea and in ports. The data are stratified by year, month, fishing fleet, fishing gear, fishing mode, 5° grid area of longitude and latitude, and taxon.The dataset encompasses 49 medium- and large-sized pelagic species found in both neritic and oceanic habitats of the world's oceans. This includes 15 species of tunas, 10 species of billfish, 7 species of Spanish mackerels, 2 species of bonitos, and wahoo. Despite uncertainties and incomplete data due to under-reporting, the dataset also includes reported catches for 14 species of pelagic sharks and rays that may be either targeted or incidentally caught in tuna and tuna-like fisheries.The dataset serves as a benchmark for the monitoring and assessment of both artisanal and industrial fisheries from over 115 fishing fleets across 114 countries that have exploited tuna and tuna-like species for subsistence and commercial purposes over more than seven decades.
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32
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2019
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