Major differences from previous work:
\nFor level 2:
\nLevel 0 dataset has been modified creating differences in this new version notably :
\nThe data is enriched with \"Species group\", \"Gear labels\" using the fdiwg standards.
\nThese main differences are recapped in the Differences_v2018_v2024.zip
\nRecommendations:
\nTo avoid converting data from number using nominal stratas, we recommend the use of conversion factors which could be provided by tRFMOs.
\nIn some strata, nominal data appears higher than georeferenced data, as observed during level 2 processing. These discrepancies may result from errors or differences in aggregation methods. Further analysis will examine these differences in detail to refine treatments accordingly. A summary of differences by tRFMOs, based on the number of strata, is included in the appendix.
\nSome nominal data have no equivalent in georeferenced data and therefore cannot be disaggregated. What could be done is to check for each nominal data without equivalence if a georeferenced data exists in different buffers, and to average the distribution of this footprint. Then, disaggregate the nominal data based on the georeferenced data. This would lead to the creation of data (approximately 3%), and would necessitate reducing/removing all georeferenced data without a nominal equivalent or with a lesser equivalent. Tests are currently being conducted with and without this. It would help improve the biomass captured footprint but could lead to unexpected discrepancies with current datasets.
", "type": { "id": "notes", "title": { "de": "Anmerkungen", "en": "Notes" } } } ], "contributors": [ { "affiliations": [ { "name": "Indian Ocean Tuna Commission" } ], "person_or_org": { "family_name": "Fabio Fiorellato", "name": "Fabio Fiorellato", "type": "personal" }, "role": { "id": "datacollector", "title": { "de": "DatensammlerIn", "en": "Data collector" } } }, { "affiliations": [ { "name": "International Commission for the Conservation of Atlantic Tunas" } ], "person_or_org": { "family_name": "Carlos Palma", "name": "Carlos Palma", "type": "personal" }, "role": { "id": "datacollector", "title": { "de": "DatensammlerIn", "en": "Data collector" } } }, { "affiliations": [ { "name": "Western and Central Pacific Fisheries Commission" } ], "person_or_org": { "family_name": "Peter Williams", "name": "Peter Williams", "type": "personal" }, "role": { "id": "datacollector", "title": { "de": "DatensammlerIn", "en": "Data collector" } } }, { "affiliations": [ { "name": "Inter-American Tropical Tuna Commission" } ], "person_or_org": { "family_name": "Nickolas Vogel", "name": "Nickolas Vogel", "type": "personal" }, "role": { "id": "datacollector", "title": { "de": "DatensammlerIn", "en": "Data collector" } } }, { "affiliations": [ { "name": "Commission for the Conservation of Southern Bluefin Tuna" } ], "person_or_org": { "family_name": "Colin Millar", "name": "Colin Millar", "type": "personal" }, "role": { "id": "datacollector", "title": { "de": "DatensammlerIn", "en": "Data collector" } } } ], "creators": [ { "person_or_org": { "family_name": "Grasset", "given_name": "Bastien", "identifiers": [ { "identifier": "0000-0002-9946-1338", "scheme": "orcid" } ], "name": "Grasset, Bastien", "type": "personal" }, "role": { "id": "contactperson", "title": { "de": "Kontaktperson", "en": "Contact person" } } }, { "affiliations": [ { "name": "Institut de Recherche pour le D\u00e9veloppement" } ], "person_or_org": { "family_name": "Julien Barde", "identifiers": [ { "identifier": "0000-0002-3519-6141", "scheme": "orcid" } ], "name": "Julien Barde", "type": "personal" } }, { "affiliations": [ { "name": "Institut de Recherche pour le D\u00e9veloppement" } ], "person_or_org": { "family_name": "Paul Taconet", "identifiers": [ { "identifier": "0000-0001-7429-7204", "scheme": "orcid" } ], "name": "Paul Taconet", "type": "personal" } } ], "description": "This dataset lists global catches of tuna, tuna-like, and shark species from 1950 to 2021. Catches are stratified by month, species, gear type, fishing fleet, fishing mode (i.e., type of school used), area (1° or 5° squares), and unit of catch (weight or number). This dataset was computed using public domain catch datasets released by FIRMS.
\nIRD Level 2 refers to the processes applied by the French National Research Institute for Sustainable Development (IRD) to primary datasets, generating this refined dataset.
\nThis work aims not only to provide a biomass dataset for scientific purposes but also to identify and address data inconsistencies, improving the overall process. All code, materials, and packages used are available on the GitHub repository, firms-gta/geoflow-tunaatlas, along with detailed documentation on the impact of each specific treatment.
\nWarning: This dataset is designed to enhance the understanding of fish counts at level 0. It is not suitable for accurately georeferencing data by country or fishing fleet and should not be used for studies on fishing zone legality or quota management. While it offers a georeferenced footprint of captures to reflect reported biomass more closely, significant uncertainty remains regarding the precise locations of the catches.
\nGlobal level 2 processing includes the conversion and raising of georeferenced catch data to match nominal dataset values.
\nAppendix work:
\nIf you are interested in creating a customized version of this Global Tuna Atlas with specific filters or adjustments based on particular issues, please feel free to reach out to us.
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