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93 results for “Tuna”
Global monthly catches from tuna surface fisheries by 1° grid (1958-2023) (FIRMS level 0)
<p>We compiled a comprehensive dataset of geo-referenced catches from global tuna fisheries that use fishing gears set at the water's surface. This dataset was created by harmonizing public domain data from the five tuna Regional Fisheries Management Organizations (t-RFMOs) for the period 1958-2023. 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.</p> <p>Geo-referenced catch data from tuna surface 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, 1° grid area of longitude and latitude, and taxon.</p> <p>The dataset encompasses 42 medium- and large-sized pelagic species found in both neritic and oceanic habitats of the world's oceans. This includes 14 species of tunas, 9 species of billfish, 4 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 12 species of pelagic sharks and rays that may be either targeted or incidentally caught in tuna and tuna-like fisheries.</p> <p>The dataset serves as a benchmark for the monitoring and assessment of both artisanal and industrial fisheries using surrounding nets, gillnets, entangling nets, and pole-and-lines from over 70 fishing fleets across 69 countries that have exploited tuna and tuna-like species for subsistence and commercial purposes over more than six decades.</p>
Global annual catches from tuna fisheries (1918-2023) (FIRMS level 0)
<p>We constructed the most comprehensive dataset of nominal catches from global tuna fisheries by compiling and harmonizing public domain data from the five tuna Regional Fisheries Management Organizations (t-RFMOs) for the period 1918-2023. 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.<br><br>Nominal catch data are expressed in live-weight equivalent (metric tonnes) and primarily represent the quantities of retained fish either landed or transhipped at sea and in ports. In recent years,data from fisheries in the Atlantic and Western-Central Pacific Oceans have partially included amounts of fish discarded dead. The data are stratified by year,fishing fleet,fishing gear,large spatial area,and taxon.<br><br>The dataset encompasses 50 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,8 species of Spanish mackerels,2 species of bonitos,and wahoo. In 2023,the global catch for these species was estimated to exceed 6.4 million metric tonnes. 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 total reported catch of these elasmobranch species was approximately 154,000 metric tonnes in 2023.<br><br>The dataset serves as a benchmark for the monitoring and assessment of both artisanal and industrial fisheries from over 161 fishing fleets across 159 countries that have exploited tuna and tuna-like species for subsistence and commercial purposes over more than seven decades.</p>
Global monthly catch of tuna, tuna-like and shark species (1950-2023) by 1° or 5° squares (IRD level 2) - and efforts level 0 (1950-2023)
<div> </div> <p>This deposit contains various datasets describing tuna fisheries activities (currently catches and efforts) and different levels of processing on 1° or 5° spatial grids with a monthly temporal resolution.</p>
Global monthly catches from tuna fisheries by 1° and 5° grids (1950-2023) (FIRMS level 0)
<p>We compiled a comprehensive dataset of geo-referenced catches from global tuna fisheries available at a spatial resolution of 1° and 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.<br><br>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, 1° or 5° grid area of longitude and latitude, and taxon.<br><br>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.<br><br>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.</p>
Global monthly catches from tuna fisheries by 5° grid (1950-2023) (FIRMS level 0)
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.<br><br>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.<br><br>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.<br><br>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.
Pop-up satellite archival tagging data of Atlantic bluefin tuna in the Gulf of Lions, Northwestern Mediterranean Sea
<p>24 Atlantic bluefin tuna (Thunnus thynnus) individuals (117–158 cm fork length) were tagged with pop-up archival tags in the Gulf of Lion, NW-Mediterranean Sea between 2015 and 2016.</p> <p><strong>Tag programming and data</strong></p> <p>The tags applied (miniPATs by Wildlife Computers, https://wildlifecomputers.com) can record depth and temperature time series (denoted hereafter as DepthTS and TempTS, respectively) at a temporal resolution of 3–5 s (depending on the predefined deployment duration) and a vertical resolution of 0.5 m. Based on these data, the tag calculates and stores additional data products such as PAT-style Depth–Temperature profiles (PDT), time at depth data, and time at temperature. After pop-up, the tags transmit user-defined data products and subsets from the recorded data sets. All our tags were configured to transmit the following data products: daily light curves, DepthTS, and PDT. In order to maximize data coverage of the transmitted datasets, we decreased the temporal resolution of the DepthTS and PDT data after the first tagging campaign in 2015 from 150 to 600 s and 6 to 24 h, respectively. For both years, deployment durations were set to 150 and 90 d during spring (April–May) and summer (August–September), respectively. A description of the electronic tagging procedure can be found in <a href="https://doi.org/10.1093/icesjms/fsaa083">Bauer et al. (2020)</a>.</p> <p>Seven tags were physically recovered, providing the complete archived time series data at a resolution of 3–5 s. Nineteen tags provided more than 7 d of complete DepthTS data (i.e. without transmission gaps). Three tags from 2016 had deployment durations of <1 week (#15P0983, #15P0985, and #15P0986) because of hardware failure.</p> <p>Provided files contain raw tag data (transmitted and recovered datasets) from the Wildlife Computers Data Portal as well as related GPE3 model runs (geolocation estimates).</p> <p>We thank the crews of the Cyngali and Roussillon Fishing recreational fishing vessels for their cooperation during the tagging cruises. This tagging study was part of the BLUEMED project and funded by the French National Research Agency (ANR; Project-ID ANR-14-ACHN-0002).</p> <p> </p>
SS-DBEM model results for main tuna commercial species
<p>Projected body size and potential biomass changes (in %) for the main commercial tuna species and swordfish by each RFMO by the mid- and the end-of-the-century. The changes have been estimated as the difference between the future and the reference period. A multi-species ecosystem model which integrates a species-based model (DBEM, Dynamic Bioclimatic Envelope Model) with the size-spectrum approach (SS) was used in this study. The code for the model is available <a href="https://zenodo.org/record/7548113#.Y8kwxBfMKUk">here</a>.</p>
FIG. 3 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 3. — Beach seine fishing scene on a Mycenean hydria (12th c. BC) from Naxos. The large fish in the net are probably tuna (reproduced from Hadjianastasiou 1991).
FIG. 2 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 2. — Thynnus sp. bones from Late Classical strata (400-300 BC) at Kalaureia, Poros island. Scale bar: 4 cm. Credits: D. Mylona, Kalaureia excavations photographic archive.
FIG. 5 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 5. — Sketch of a thynneion (stationary tuna trap) at Kandylio a few short distance north of Halieis (reproduced from Panagiotopoulos 1914).
FIG. 4 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 4. — Wall painting of one of the two Little Fishermen from the so called West House at Akrotiri,Thera. The fish he holds are little tunny (Euthynnus allet- teratus Rafinesque, 1810) or bullet tunny (Auxis rochei Risso, 1810) (reproduced from Doumas 1992).
Figs 1, 2. Auxis spp. from Syrian marine waters. 1, A in First record of frigate tuna Auxis thazard (Osteichthyes: Scombriformes: Scombridae) in the Syrian marine waters, the Eastern Mediterranean
Figs 1, 2. Auxis spp. from Syrian marine waters. 1, A. thazard (Lacepède, 1800); 2, A. rochei (Risso, 1810). A, corselet; B, vertical line indicating where the tip of the pectoral fin reaches; C, dark wavy lines in the dorsal scaleless area.
Fig. 2 in Spatial distribution of tuna larvae in the Gulf of Gabes (Eastern Mediterranean) in relation with environmental parameters
Fig. 2: Spatial distribution of environmental parameters: Temperature (a), Salinity (b), Oxygen content (c), Zooplankton biomass (d) and Chlorophyll a (e).
Fig. 5 in Spatial distribution of tuna larvae in the Gulf of Gabes (Eastern Mediterranean) in relation with environmental parameters
Fig. 5: Vertical profiles of different environmental parameters [Temperature (a), Salinity (b), Oxygen content (c) and Chlorophyll a (d)] for coastal () and oceanic () stations.
Fig. 3 in Spatial distribution of tuna larvae in the Gulf of Gabes (Eastern Mediterranean) in relation with environmental parameters
Fig. 3: Dendrogram of the Euclidean distance between the sampling stations based on the environmental factor (temperature, salinity, oxygen content, chlorophyll a and depth).
Global annual catch of tuna, tuna-like and shark species (1918-2015) (IRD level 0)
<p>This dataset lists global catch of tuna and tuna-like species from 1918 to 2015. Catches are stratified by year, species, fishing gear, vessel flag reporting country, area (essentially the tuna RFMOs areas of management). This dataset was computed using public domain catch-and-effort datasets released by the five tuna Regional Fisheries Management Organizations: the Indian Ocean Tuna Commission (IOTC), the International Commission for the Conservation of Atlantic Tunas (ICCAT), the Inter-American Tropical Tuna Commission (IATTC), The Western and Central Pacific Fisheries Commission (WCPFC), the Commission for the Conservation of Southern Bluefin Tuna (CCSBT).</p> <p>IRD Level 0 stands for the processes applied to the primary datasets by the French National Research Institute for Sustainable Development (IRD) to generate the dataset. These processes for level 0 at global scale are :</p> <p>- Merging of the primary nominal (also called total) catch datasets released by the 5 tuna RFMOs.<br> - For the Southern Bluefin Tuna, only data from the the Commission for the Conservation of Southern Bluefin Tuna (CCSBT) was kept (i.e. data from the other RFMOs for SBF was removed).<br> - Original code lists have been mapped with standard FAO code lists (for gears, species, flags). These mappings have been done in collaboration with the RFMOs secretariats.</p> <p>More details on the processes are provided in the lineage section.</p> <p>Caracteristics, specific issues and problems that need to be taken into account :</p> <p>In addition to the respective specific issues of all the tuna RFMOs datasets, the following issues might be taken into account :<br> - Catches in the Pacific ocean are over-estimated. In fact, IATTC and WCPFC, who report the data respectively for the Eastern Pacific and Western Pacific oceans, have an overlapping area in their respective area of competence. Data from both RFMOs may be redundant in this overlapping zone.<br> - Geographical stratification in this dataset is : major FAO fishing area for the Indian ocean (IOTC), sampling areas for the Atlantic ocean (ICCAT), whole areas of competence of the respective RFMOs for the Pacific ocean (IATTC and WCPFC), area of competence of the CCSBT for the Southern Bluefin tuna.</p>
Tuna_exports_west_africa_2014_2019_FAOFishstat
<p>Download of FAO FishstatJ data on exports of tuna products from Cabo Verde, Senegal, Ghana and Cote d'Ivoire</p> <p>2014 to 2019.</p> <p>Value in 1000 USD and quantity in tonnes</p>
Halimeda tuna (Bryopsidales, Ulvophyceae) calcification on the depth transect in the northern Adriatic Sea; carbonate production on the microscale of individual segments
<p>Raw data relevant to the submission of the manuscript: Halimeda tuna (Bryopsidales, Ulvophyceae) calcification on the depth transect in the northern Adriatic Sea; carbonate production on the microscale of individual segments.</p> <p>Table S1. Landmark and semilandmark coordinates of Halimeda tuna segment outlines.</p> <p>Table S2. External characteristics of H. tuna segments and associated abiotic factors.</p>
PSAT tag data from Atlantic bluefin tuna tagged off Norway from 2020 to 2022
Open the record for dataset details and reuse information.
FIG. 1 in Catching tuna in the Aegean: biological background of tuna fisheries and the archaeological implications
FIG. 1. — Map of the Aegean Sea with sites mentioned in the text noted on it. Credits: V. Triggas.
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