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)

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 georeferenc...

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Bibliographic Details
Main Author: Food And Agriculture Organization Of The United Nations
Format: Dataset
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.5745987
https://zenodo.org/record/5745987
id ftdatacite:10.5281/zenodo.5745987
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic 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
Albania
Argentina
Australia
Belize
Bolivia Plurinat.State
Brazil
Canada
Côte d'Ivoire
Congo
Republic of
Colombia
Cabo Verde
Costa Rica
Curaçao
Cayman Islands
Algeria
Ecuador
Egypt
Bulgaria EU
Cyprus EU
Denmark EU
Spain EU
France EU
United Kingdom EU
Greece EU
Croatia EU
Italy EU
Malta EU
Portugal EU
Gabon
Ghana
Guinea
Guatemala
Honduras
Indonesia
Iceland
Japan
Korea
Libya
Sri Lanka
Morocco
Maldives
Mexico
Mauritius
Namibia
Other nei
Nicaragua
Norway
New Zealand
Panama
Peru
Philippines
Russian Federation
Senegal
Saint Helena
El Salvador
Un. Sov. Soc. Rep.
Seychelles
Syrian Arab Republic
Thailand
Tunisia
Turkey
United States of America
Saint Vincent/Grenadines
Venezuela
Boliv Rep of
Vanuatu
South Africa
Purse seines
Surrounding nets without purse lines
Handlines and hand-operated pole-and-lines
Mechanized lines and pole-and-lines
Atlantic bonito
Sarda sarda
Plain bonito
Orcynopsis unicolor
Wahoo
Acanthocybium solandri
Narrow-barred Spanish mackerel
Scomberomorus commerson
King mackerel
Scomberomorus cavalla
West African Spanish mackerel
Scomberomorus tritor
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
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
Hammerhead sharks nei
Sphyrna spp
Various sharks nei
Selachimorpha Pleurotremata
Dolphin
Free school
Log school
Undefined school
Unknown
number of fishes
metric tons
spellingShingle 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
Albania
Argentina
Australia
Belize
Bolivia Plurinat.State
Brazil
Canada
Côte d'Ivoire
Congo
Republic of
Colombia
Cabo Verde
Costa Rica
Curaçao
Cayman Islands
Algeria
Ecuador
Egypt
Bulgaria EU
Cyprus EU
Denmark EU
Spain EU
France EU
United Kingdom EU
Greece EU
Croatia EU
Italy EU
Malta EU
Portugal EU
Gabon
Ghana
Guinea
Guatemala
Honduras
Indonesia
Iceland
Japan
Korea
Libya
Sri Lanka
Morocco
Maldives
Mexico
Mauritius
Namibia
Other nei
Nicaragua
Norway
New Zealand
Panama
Peru
Philippines
Russian Federation
Senegal
Saint Helena
El Salvador
Un. Sov. Soc. Rep.
Seychelles
Syrian Arab Republic
Thailand
Tunisia
Turkey
United States of America
Saint Vincent/Grenadines
Venezuela
Boliv Rep of
Vanuatu
South Africa
Purse seines
Surrounding nets without purse lines
Handlines and hand-operated pole-and-lines
Mechanized lines and pole-and-lines
Atlantic bonito
Sarda sarda
Plain bonito
Orcynopsis unicolor
Wahoo
Acanthocybium solandri
Narrow-barred Spanish mackerel
Scomberomorus commerson
King mackerel
Scomberomorus cavalla
West African Spanish mackerel
Scomberomorus tritor
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
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
Hammerhead sharks nei
Sphyrna spp
Various sharks nei
Selachimorpha Pleurotremata
Dolphin
Free school
Log school
Undefined school
Unknown
number of fishes
metric tons
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)
topic_facet 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
Albania
Argentina
Australia
Belize
Bolivia Plurinat.State
Brazil
Canada
Côte d'Ivoire
Congo
Republic of
Colombia
Cabo Verde
Costa Rica
Curaçao
Cayman Islands
Algeria
Ecuador
Egypt
Bulgaria EU
Cyprus EU
Denmark EU
Spain EU
France EU
United Kingdom EU
Greece EU
Croatia EU
Italy EU
Malta EU
Portugal EU
Gabon
Ghana
Guinea
Guatemala
Honduras
Indonesia
Iceland
Japan
Korea
Libya
Sri Lanka
Morocco
Maldives
Mexico
Mauritius
Namibia
Other nei
Nicaragua
Norway
New Zealand
Panama
Peru
Philippines
Russian Federation
Senegal
Saint Helena
El Salvador
Un. Sov. Soc. Rep.
Seychelles
Syrian Arab Republic
Thailand
Tunisia
Turkey
United States of America
Saint Vincent/Grenadines
Venezuela
Boliv Rep of
Vanuatu
South Africa
Purse seines
Surrounding nets without purse lines
Handlines and hand-operated pole-and-lines
Mechanized lines and pole-and-lines
Atlantic bonito
Sarda sarda
Plain bonito
Orcynopsis unicolor
Wahoo
Acanthocybium solandri
Narrow-barred Spanish mackerel
Scomberomorus commerson
King mackerel
Scomberomorus cavalla
West African Spanish mackerel
Scomberomorus tritor
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
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
Hammerhead sharks nei
Sphyrna spp
Various sharks nei
Selachimorpha Pleurotremata
Dolphin
Free school
Log school
Undefined school
Unknown
number of fishes
metric tons
description 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.
format Dataset
author Food And Agriculture Organization Of The United Nations
author_facet Food And Agriculture Organization Of The United Nations
author_sort Food And Agriculture Organization Of The United Nations
title 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)
title_short 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)
title_full 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)
title_fullStr 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)
title_full_unstemmed 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)
title_sort 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)
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.5745987
https://zenodo.org/record/5745987
long_lat ENVELOPE(-59.515,-59.515,50.600,50.600)
geographic Canada
Pacific
Norway
Indian
New Zealand
Argentina
Saint-Vincent
geographic_facet Canada
Pacific
Norway
Indian
New Zealand
Argentina
Saint-Vincent
genre Iceland
Lamna nasus
Porbeagle
genre_facet Iceland
Lamna nasus
Porbeagle
op_relation https://zenodo.org/communities/fisheries
https://dx.doi.org/10.5281/zenodo.5745986
https://zenodo.org/communities/fisheries
op_rights Open Access
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC0
op_doi https://doi.org/10.5281/zenodo.5745987
https://doi.org/10.5281/zenodo.5745986
_version_ 1766043969696825344
spelling ftdatacite:10.5281/zenodo.5745987 2023-05-15T16:53:25+02:00 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) Food And Agriculture Organization Of The United Nations 2021 https://dx.doi.org/10.5281/zenodo.5745987 https://zenodo.org/record/5745987 unknown Zenodo https://zenodo.org/communities/fisheries https://dx.doi.org/10.5281/zenodo.5745986 https://zenodo.org/communities/fisheries Open Access Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 info:eu-repo/semantics/openAccess CC0 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 Albania Argentina Australia Belize Bolivia Plurinat.State Brazil Canada Côte d'Ivoire Congo Republic of Colombia Cabo Verde Costa Rica Curaçao Cayman Islands Algeria Ecuador Egypt Bulgaria EU Cyprus EU Denmark EU Spain EU France EU United Kingdom EU Greece EU Croatia EU Italy EU Malta EU Portugal EU Gabon Ghana Guinea Guatemala Honduras Indonesia Iceland Japan Korea Libya Sri Lanka Morocco Maldives Mexico Mauritius Namibia Other nei Nicaragua Norway New Zealand Panama Peru Philippines Russian Federation Senegal Saint Helena El Salvador Un. Sov. Soc. Rep. Seychelles Syrian Arab Republic Thailand Tunisia Turkey United States of America Saint Vincent/Grenadines Venezuela Boliv Rep of Vanuatu South Africa Purse seines Surrounding nets without purse lines Handlines and hand-operated pole-and-lines Mechanized lines and pole-and-lines Atlantic bonito Sarda sarda Plain bonito Orcynopsis unicolor Wahoo Acanthocybium solandri Narrow-barred Spanish mackerel Scomberomorus commerson King mackerel Scomberomorus cavalla West African Spanish mackerel Scomberomorus tritor 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 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 Hammerhead sharks nei Sphyrna spp Various sharks nei Selachimorpha Pleurotremata Dolphin Free school Log school Undefined school Unknown number of fishes metric tons Dataset dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5745987 https://doi.org/10.5281/zenodo.5745986 2022-03-10T12:57:43Z 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. Dataset Iceland Lamna nasus Porbeagle DataCite Metadata Store (German National Library of Science and Technology) Canada Pacific Norway Indian New Zealand Argentina Saint-Vincent ENVELOPE(-59.515,-59.515,50.600,50.600)