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The Global View of Transshipment - Revised Preliminary Findings

In this research study, Global Fishing Watch uses AIS information to identify where transshipment can be happening and who is doing it. About 42 percent of potential rendezvous (what is identified through AIS data to track transshipments) occur on the high seas, with the rest happening within the EEZs of different nations–especially Russia. It is concerning, however, that those areas with higher levels of reported IUU fishing correlate with areas of high potential rendezvous. With such a high level of transshipments occurring on high seas, the global community could not only benefit from using AIS data to identify illegal transshipments but must also cooperate to address lax oversight and control. This revised report improves on the methodology of the earlier finding in February 2017.

Identifying Global Patterns of Transshipment Behavior

Transshipment at high seas is very difficult to monitor, allowing the possibility of illegally caught fish to enter the legitimate seafood market, or enabling human rights abuses. This paper uses AIS data to track global transshipment behavior. They find that a majority of transshipment occurs at high seas outside of EEZ boundaries–areas that may lack national jurisdiction or where regulations are difficult to enforce. Additionally, possible transshipment encounters are happening with vessels flying flags of convenience. Together, these findings paint a scene of large transparency issues in global transshipment behaviors that will need to be addressed by governing bodies.

Global View of Transshipment - Preliminary Findings - GFW

In this research study, Global Fishing Watch uses AIS information to identify where transshipment can be happening and who is doing it. About 42 percent of potential rendezvous (what is identified through AIS data to track transshipments) occur on the high seas, with the rest happening within the EEZs of different nations–especially Russia. It is concerning, however, that those areas with higher levels of reported IUU fishing correlate with areas of high potential rendezvous. With such a high level of transshipments occurring on high seas, the global community could not only benefit from using AIS data to identify illegal transshipments but must also cooperate to address lax oversight and control.

Domino Effects of Cumulative Bias and Erroneous Data in Fisheries Big-Data Mapping Models - Case Study of GFW View on Transshipments - FishSpektrum

Without a Worldwide Unique Vessel Identifier (WUVI) database, the International community has largely relied on data in self-created combined vessel lists for spatiotemporal mappings of fishing presence, effort, and footprint. Projects match fishing vessel registration identifiers to their alleged AIS MMSI numbers using these vessel lists. This study aims to prove that this method has yielded a large number of erroneous ship identification references. Global Fishing Watch, one of the largest vessel identification projects, is crosschecked with the vessel data that the study gathered and found that it suffers from major flaws and biases. Such errors put at risk both the creditability of the GFW and private/independent fisheries monitoring control & surveillance (MCS) initiatives. Not only should projects use more scientific responsibility, but a worldwide database could also help end the data-gathering methods that brought these mistakes about.