Global Fisheries Landings Mapped to Spatial Cells with Gear and IUU Estimates
Updated 1mo ago
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Description
Global fisheries landings data from agencies like FAO/UN, CCAMLR, NAFO, and ICES is mapped to 30-minute spatial cells based on taxon range, fleet access, and reporting area. The dataset includes estimates of illegal, unreported, and unallocated landings and discarded catch weight, and is associated with fishing gear types. This archived version was provided by the Australian Ocean Data Network, with a current version available from 2019.
Use Cases
Mapping the spatial footprint of fishing pressure based on reported landings and taxon ranges.
Assessing the impact of different fishing gears on marine ecosystems based on associated gear type data.
Estimating the scale and location of illegal, unreported, and unregulated (IUU) fishing activities.
Modeling the vulnerability of fisheries and associated food security to climate change impacts.
Analyzing trends in fisheries discards at sea by geographic region.
Strengths
Integrates data from multiple authoritative international agencies including FAO/UN, CCAMLR, NAFO, and ICES.
Provides spatially explicit data mapped to 30-minute grid cells.
Includes estimates for components often missing from official statistics, such as illegal, unreported, and unallocated landings and discards.
Limitations
This is an archived version; the description notes a current version has been available since January 16, 2019.
Column-level documentation is absent; field semantics must be inferred after download.
Row count and data size are unknown, which may limit suitability assessment.
Provenance
Source
Australian Ocean Data Network, aggregating data from FAO/UN, CCAMLR, NAFO, ICES, and other agencies.
Collection Method
Reported landings are mapped to spatial cells based on taxon range/gradient, reporting country fleet access, and original reporting area.
Freshness
Last updated 2026-06-16 20:19:11.950088; however, the dataset is archived and a newer version exists.
Geography
Global
This is an archived version. Users are directed to a newer version for all analyses from January 16, 2019.