Global Fisheries Landings V2.0: Spatially Mapped Catch Data
Updated 1mo ago
19filesCSV
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Description
Global fisheries landings data, version 2.0, is an archived dataset aggregated from multiple international agencies including FAO/UN, CCAMLR, NAFO, and ICES. The data has been mapped to 30-minute spatial cells based on reported taxon ranges, fleet access, and original reporting areas. It includes estimates of illegal, unreported, and unallocated landings, as well as discarded catch weights, and is associated with fishing gear types.
Use Cases
Analyzing the spatial distribution of fishing pressure based on 30-minute cell mapping.
Investigating the impact of different fishing gear types on marine ecosystems.
Estimating the scale of illegal, unreported, and unregulated (IUU) fishing activities.
Modeling the vulnerability of fisheries and associated food security to climate change impacts.
Studying historical patterns of fisheries product discards at sea.
Strengths
Data is aggregated from multiple authoritative international agencies (FAO/UN, CCAMLR, NAFO, ICES).
Includes estimates for illegal, unreported, and unallocated landings, which are often missing from official statistics.
Spatially mapped to 30-minute cells, enabling geographic analysis.
Limitations
This is an archived version; a newer version has been available since 16/01/2019.
Column-level documentation is absent; field semantics must be inferred after download.
Row count and dataset 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
Landings data mapped to 30-min spatial cells based on taxon range, fleet spatial access, and original reporting area.
Freshness
Last updated 2026-04-29 11:50:53.754241; freshness should be verified as this is an archived version.
Geography
Global
This is an archived version. The current version should be used for all future analyses from 16/01/2019. The record points to a new metadata URL.