Monitoring the world's fishing fleets for labour abuse and illegal fishing can be as challenging as the oceans are vast, but new data could help companies and countries intervene more effectively.
New research involving Lancaster University, published today (5 April) in Nature Communications, identifies the regions and ports at highest risk for labour abuse and illegal fishing and indicates two main risk factors: the country that a vessel is registered to, also known as its "flag state," and the type of fishing gear the vessel carries onboard. The results offer policymakers and regulators a set of vessel characteristics and regions to pay more attention to when sourcing seafood.
"Surveillance on the high seas is innately challenging, so these data provide a critical first step in helping stakeholders understand where to look deeper," said lead author Elizabeth Selig, deputy director of the Stanford Center for Ocean Solutions at Stanford University. "We hope these findings can help to inform strategically expanded enforcement, focus development aid investments and increase traceability, ultimately lowering the chance that seafood associated with labour abuse or illegal fishing makes its way to market."
Using an online survey of experts, the researchers also found that labour abuse and illegal, unreported and unregulated (IUU) fishing are globally pervasive: Of more than 750 ports assessed around the world, nearly half are associated with risk of one or both practices. However, in addition to revealing the global extent of these risks, the study also highlights potential pathways to reduce these risks through actions at port that detect and respond to labour abuse and deter the landing of illegally caught fish.
"Major seafood companies are now able to understand where risks are greatest in order to help them meet their commitments to remove labour abuse and illegal fishing from their supply chains," said co-author Henrik Osterblom, science director at the Stockholm Resilience Centre, who heads the science team advising SeaBOS, an initiative that includes the world's ten largest seafood companies. "These results can help them confront these challenges."
Co-author Professor Jan Bebbington is from Lancaster University Management School and leads the Pentland Centre for Sustainability in Business. She brings an organisational science perspective to the SeaBos collaboration. She said: "This study provides two insights from a corporate perspective. First, the data in the paper supports companies as they seek to understand if they are operating or sourcing in places where risks of illicit fishing activity exists. This knowledge will allow companies to enhance their due diligence activities, for their own benefit and for the benefit of the seafood system as a whole.
"The second important finding from the work is that ports -who are themselves organisations of various kinds - influence ocean risk through their own due diligence actions and wider governance roles. This means they have a very important role in supporting ocean stewardship."
Remote risk prediction
Given limited surveillance and enforcement capacity, the high seas - or the waters beyond a country's jurisdiction - have long provided a safe haven for IUU fishing. Every year, millions of tons of fish are caught illegally. Vessels engaged in IUU fishing often also have labour abuses on board including subjecting workers to forced labour, debt bondage and poor working conditions.
The study team chose to assess risk, or the possibility that illegal activities might be happening in a specific area, rather than predict case numbers due to the challenge of identifying which vessels are involved in illegal activities at any given time and the need to manage risks more broadly across fleets.
To investigate risk, the authors paired human insights with big data. An anonymous survey distributed to experts from seafood companies, research institutions, human rights organisations and governments helped quantify the degree of certainty around whether particular ports were associated with either labour abuse or IUU fishing. Using machine learning, the team then combined survey responses with satellite-based vessel-tracking data curated by Global Fishing Watch to identify higher-risk regions associated with transshipment, where crew and catches are exchanged between vessels, and at sea.
For fishing vessels, coastal regions off West Africa, Peru, the Azores, Argentina and the Falkland Islands had higher risks for labour abuse and IUU fishing. The model also revealed that vessels registered to countries that have poor control of corruption, vessels owned by countries other than the flag state and vessels registered to China, have a higher risk of engaging in illegal activities. Chinese-flagged vessels, comprising the world's largest fishing fleet, dominated the data and were therefore analysed separately. For transshipment, certain fishing gear types - like drifting longliners, set longliners, squid jiggers and trawlers - were found to be higher risk.
The study also showed a strong presence of foreign-flagged vessels in fishing grounds thousands of miles away from where they bring their catch to port. This suggests that ports with weak monitoring standards can incentivise illegal activities far away, highlighting the need for coordinated regional action.
The promise of ports
All voyages begin and end in port. These bustling stopovers serve as critical hubs where officials can monitor and enforce legal frameworks that govern labour and catch. The study team analysed the effectiveness of port measures for mitigating risks of these illegal practices. For labour abuse, they analysed how long vessels spend in port, finding that riskier vessels have shorter port durations, which reduces the odds that port officials can intervene or that workers can access port services.
"Ports are one of the few places to identify and respond to labour abuse," said Jessica Sparks, a fellow at the Stanford Center for Ocean Solutions and associate director at the University of Nottingham Rights Lab. "We need to ensure that policies and practices allow fishers to access trusted actors and services at port so they can safely report on their condition."
For IUU fishing, the team examined how vessel visits changed after the Port State Measures Agreement (PSMA) - which stipulates inspection standards, data exchange and port entry denial when appropriate for foreign-flagged vessels - entered into force in 2016. In the year after the PSMA took effect, the team found that fewer risky vessels visited countries that had ratified PSMA measures compared to countries that did not.
"Port state measures offer a lot of promise, but they need to be implemented effectively and, ideally comprehensively across regions, so that vessels cannot easily escape scrutiny by going to a port in a neighbouring country," said Selig. "We need regional ratification and effective implementation."
Other co-authors from the Stanford Center for Ocean Solutions include Data Research Scientist Shinnosuke Nakayama and Lead Scientist Colette Wabnitz, who is also affiliated with The University of British Columbia. Author Henrik Österblom is affiliated with the Stockholm Resilience Centre at Stockholm University and The University of Tokyo; author Jessica Spijkers is affiliated with the ARC Centre of Excellence for Coral Reef Studies at James Cook University and the Stockholm Resilience Centre at Stockholm University; author Nathan Miller is affiliated with Global Fishing Watch; and author Jessica Sparks is affiliated with the University of Nottingham Rights Lab.
The research was supported by the Packard Foundation, the Walton Family Foundation and the Gordon and Betty Moore Foundation.
