Port State measures are a critical part of the potential solution to illegal, unreported and unregulated (IUU) fishing, one of the biggest threats to ocean health. This illicit practice places pressure on the sustainability of the world’s fisheries and harms the economies of coastal nations that depend on healthy fish populations.
The United Nations Food and Agriculture Organization’s Port State Measures Agreement (PSMA), in force since 2016, requires parties to strengthen their controls on foreign-flagged vessels that seek to use their ports to land or transship fish to prevent illicit catch from reaching national and international markets.
Initiatives by the international community to help States implement the treaty have been hampered by limited outside knowledge about how States manage their ports, how vulnerable ports are to the risk of IUU products flowing through them, and how much progress States have made at combating this problem.
“Any Port in a Storm: Vessel Activity and the Risk of IUU-Caught Fish Passing Through the World’s Most Important Fishing Ports,” a peer-reviewed study supported by The Pew Charitable Trusts to be published in June in the Journal of Ocean and Coastal Economics, shows where fishing and carrier vessel activity is concentrated and which States are most at risk of having illegally caught fish passing through their ports and, therefore, where more effective implementation of the PSMA would have the greatest impact.
To quantify risk, researchers from Poseidon Aquatic Resource Management and OceanMind used Automatic Identification System (AIS) positional data transmitted by fishing and fish carrier vessels in 2017 to rank fishing ports in 140 coastal States based on the frequency of visits by foreign- and domestic-flagged vessels and the vessels’ hold size. They also created an assessment tool that uses indicators of internal and external risk factors to help gauge the likelihood of IUU-caught fish arriving in port and whether the State has sufficient policies and regulations in place to keep foreign vessels carrying this catch from entering port or using port services. An analysis of select individual ports found that not a single one has implemented all key PSMA provisions and that there is room for improvement all over the world. This process could begin with greater transparency of what measures port States have put in place and how effectively they are being enforced.
Most of the world’s geographic regions are represented in the top 10 ports ranked by foreign fishing and carrier vessel visits, foreign fishing vessel hold size, and foreign fish carrier vessel hold size, which researchers used to determine fleets’ fishing capacity. The areas missing in these top rankings are the coastlines of North America, the Middle East, and Australasia. The lack of prominent North American and Australasian ports is potentially because vessels flagged to countries in these regions generally return to the same domestic ports.
Researchers found that the top 10 ports in the world based on the number of visits by AIS-equipped fishing and carrier vessels are all Chinese. This finding is understandable because China’s large fishing fleet is primarily serviced by domestic ports; nearly all visits to these ports are by domestic vessels.
Many foreign fishing and carrier vessels with large hold sizes frequent the midocean ports of Majuro (Marshall Islands), Suva (Fiji), and Port Louis (Mauritius) to transship and unload tuna catches, activities that purse seine vessels in the Western and Central Pacific Ocean and Indian Ocean are not permitted to conduct on the high seas. European ports that are close to major fishing grounds are convenient landing sites for the European fleet. Examples include Las Palmas (Spain) in the lower Atlantic Ocean and Kirkenes (Norway) in the Barents Sea.
Busan (Republic of Korea) is frequented by many domestic and foreign vessels with sizable hold capacity, but 91 percent of the foreign visits are by vessels with Russian, Chinese, and Panamanian flags. Similarly, three flags—China; Taiwan, Province of China; and Republic of Korea—account for over 94 percent of foreign vessel visits to Suva.
The top 10 ports based on foreign fishing vessel hold size include both offload ports, where fishing vessels transship fish to fish carrier vessels, and terminal ports, where fish is landed for processing. They include the West African mainland ports of Abidjan (Ivory Coast), Walvis Bay (Namibia), and Nouadhibou (Mauritania), where many foreign fish carrier vessels also visit. The top 10 ports based on foreign fish carrier vessel hold size are mostly terminal ports. Among them is Bangkok (Thailand), which is frequented by fish carriers and receives about a quarter of global tuna harvests.
The index assessing the risk that IUU-caught fish are passing through ports in each of 140 States combines the level of vessel traffic at the state’s port, as detected by AIS, with indicators for internal and external risk factors. Examples include perceived levels of corruption as an indicator of internal risk and visits by vessels that are likely to be engaged in IUU fishing as an indicator of external risk. The full risk assessment criteria applied to each port State are shown below.
The IUU risk index in the report (shown in Figures 1 and 2) scores and ranks port States based on internal, external, and overall risks (which averages the two), with lower scores indicating lower risk. The global average internal risk score is 2.30, with the lowest score 1.21 for Grenada, and the highest 3.38 for both Papua New Guinea and Russia. The global average external risk score is 2.48 and falls between 1.76 for Antigua and Barbuda and 3.41 for both Russia and Venezuela. The global average for the overall risk score is 2.40, falling between 1.55 for Grenada and 3.39 for Russia.
Countries generally may appear as top performers in either internal or external risk categories, but rarely in both. Internal risks are distributed more evenly across the spectrum of scores between 1 and 3.5, while external scores are more concentrated between 2 and 3. This result indicates that the exposure to IUU risks differs between countries and regions, but that there is a greater difference between nations when considering how they have addressed the risk. Countries have more control over the extent to which they develop and apply port State measures than they do over external risk, which they can only partially mitigate through domestic policies.
Based on the index, regions can be ranked from high risk (left) to low risk, as follows:
Near East > Asia > Southwest Pacific > Africa > Latin America > Europe > North America
North America is the best performing region overall, followed by Europe. With the lowest average internal risk scores, most of these two regions’ port States have adopted policies in line with the PSMA and are performing well within RFMOs, although the EU’s and U.S.’s IUU compliance system for other countries might slightly bias the analysis in their favor. Asia and the Near East are the worst performing regions, with internal risks being more important in the Near East, and external risks—typically related to weak controls by flag States—in Asia. The latter result is not surprising because Asia has globally important seafood markets and receives a large volume of very different vessels from diverse flag States.
Researchers selected 14 fishing ports, two from each of the seven major Food and Agriculture Organization (FAO) regions,1 for further analysis. In each region, researchers sought to select ports from countries with different income levels and a mixture of tuna and non-tuna ports, landing and transshipment ports, and ports with domestic or foreign vessel dominated port entries. They examined how well both the port and the State have adopted port State measures, and the identity information of fishing and carrier vessels observed on AIS visiting the port. As in the case of the port State analysis, evaluation of the port risk could assess only the frameworks and measures that were found to be in place, rather than how they were implemented in practice.
While the individual ports were found to not necessarily be representative of their country’s or their region’s performance—except by chance—not a single one has implemented all key PSMA provisions.
Given the representative mix of ports that researchers further examined, it is clear that States and individual ports have work to do to put key PSMA provisions in place. Information resources and publicizing of such resources, through the FAO where indicated (a key treaty provision), remain limited.
The following are key recommendations for States. A full list of recommendations is in the report.
In addition, the FAO should enhance its information systems and publish more data on how its members are implementing the PSMA, including data that goes beyond the minimum required by the PSMA, if States make it available.
While the study found important differences in how well regions are mitigating their risk of illegal catch entering their ports and markets—and how exposed they are to vessels carrying IUU products—it also shows that every region harbors weak and strong performers. Much progress remains to be made in translating key PSMA provisions into national practice, starting with the designation of ports and making information about these measures publicly available.
By showing not only how IUU risk is distributed, but how it relates to factors such as income and corruption, the study also demonstrates that these non-fisheries issues may hamper a State’s ability to carry out its treaty obligations. The assessment findings make clear, however, that if a State improves its compliance, it will likely be less exposed to high-risk vessels—providing a solid argument in favor of fully implementing the PSMA.
This study builds upon a previous assessment by Poseidon in 2015, “Fish Landings at the World’s Commercial Fishing Ports,” which ranked the world’s top 100 ports by volume of commercial fish landed by any industrial-scale vessels.
In this new study, researchers from OceanMind and Poseidon combined AIS with other data sources to build indicators to determine port risk. They analyzed AIS records from 2017 to identify when fishing vessels and fish carriers2 stopped within 12 nautical miles of shore anywhere in the world. These stops were algorithmically grouped to represent port visits and linked to locations that represent commonly used ports and anchorages. The hold capacity of the vessels, and whether they were domestic or foreign, was used to classify over 3,000 ports and anchorages worldwide.
AIS data considerations:
Given the variable satellite coverage and AIS use and data quality, this analysis does not capture every fishing vessel in the world, even those fitted with functioning AIS transponders.
There are limitations to applying algorithmic analysis globally when ports in different countries/regions have their own characteristics. Some events were inappropriately associated with a specific port, some events indicating a vessel stopping could not be grouped within a single visit to a port, and researchers may have overcounted port visits at the State level. There were many visit events that could not be assigned to a port listed in the World Port Index3 and were categorized as visits to unknown ports or unknown anchorages, but only 8.5 percent of foreign-flagged visits were to unknown locations. These issues probably minimally affected the global analysis because effects tend to cancel out over larger areas.
The ranking of ports, especially those based on the hold size, must be used carefully, as these values are estimates and should be used for comparative purposes only. The ranking based on hold size is obviously of great interest because it represents the aggregate potential for the loading, unloading, or transshipment of fish, but should not be interpreted as an estimate of the volume of landings or transshipment in port.
Of the 153 coastal States selected for this study, researchers eliminated 13 because no AIS-fitted fishing vessels could be detected entering ports (Barbados, Belize, Bosnia and Herzegovina, Cambodia, Dominica, Eritrea, Haiti, Honduras, Jordan, Monaco, Nicaragua, Niue, and St. Lucia). Of the 140 coastal States identified as operating fishing ports based on AIS data, three did not have any visits by foreign AIS-detected vessels (Bahrain, Comoros, and St. Vincent and the Grenadines). Some of the coastal States that were eliminated, for example, Barbados and Cambodia, are clearly port States, providing an early indication of some of the limitations generated by the low rate of AIS technology use across fishing fleets globally.
The quality of the non-AIS source data used for indicators is reliable and is determined by the processes applied by the individual organizations producing and hosting these data. When discrepancies were found between style and content of information from different sources, researchers took a conservative bias to ensure that countries did not receive better scores than they should have.