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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Zenodo
2021
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Online Access: | https://dx.doi.org/10.5281/zenodo.5745987 https://zenodo.org/record/5745987 |
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ftdatacite:10.5281/zenodo.5745987 |
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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) |