Mystery Moves: What is the Chinese Squid Fleet Doing in the Pacific?

Over the past couple of months, SkyTruth analyst Bjorn Bergman has been watching some interesting activity by the Chinese fishing fleet in the Pacific. A large Chinese flagged squid-fishing fleet had been fishing at the boundary of Peru’s exclusive economic zone (EEZ) throughout the summer and fall of 2016. Then, near the middle of December, many of them suddenly began migrating some 3,000 miles to the northwest.

At their new location, around 118 degrees West longitude and just north of the equator, they met up with another group of Chinese-flagged vessels. These vessels had just moved to this remote part of the Pacific about a week or two earlier. Some arrived from China and Indonesia, and some came directly from fishing just outside the Japanese EEZ.

This screen shot from the Global Fishing Watch map shows the movement of 55 Chinese flagged vessels from early November 2016 through February 5, 2017. You can see vessels moving to a single location around 118 degrees West longitude from the western Pacific (red tracks), and from the squid fishing grounds just outside the Peru EEZ (blue tracks). Some vessels off the Peru EEZ also moved south to Argentina. You will find a link to see these tracks on the live map at the bottom of this post.

This nighttime VIIRS imagery from the Suomi-NPP satellite, taken on January 29, shows the lights of Chinese squid fishing vessels in the Pacific.

When fishing for squid, fishers use powerful lights to attract the animals to the surface for an easy catch. This nighttime VIIRS imagery from the Suomi-NPP satellite, taken on January 29, 2017, shows the lights of Chinese squid fishing vessels off of Peru, and at the new location in the middle of the Pacific.

The same pattern is seen using satellite signals from fishing vessels.

This the Global Fishing Watch heat map shows the AIS signals from fishing vessels from January 9 to February 2, 2017. With one fishing track defined in blue, we can see the path of the Chinese squid fleet moving from just outside the Peru EEZ to a location on the high seas.

This Global Fishing Watch heat map shows the AIS signals from fishing vessels from January 9 to February 2, 2017. With one fishing track defined in blue, we can see the path of the Chinese squid fleet moving from just outside the Peru EEZ to a location on the high seas.

The new location of these vessels is not known for squid. It is also an unlikely habitat as squid usually live near continental shelves and canyons where there are steep changes in water depth. It’s unclear what the vessels are fishing for now, but the sudden move from the eastern Pacific may be a reflection of a dwindling catch.

Usually Chinese flagged squid fishers operating around South America concentrate off of Peru in the Pacific and Argentina in the Atlantic Ocean. For the past few years, some squid-fishing fleets have seen their catch decline in both regions.  Undercurrent News reports that some Taiwanese boat captains abandoned squid altogether because of low catch. They are now targeting Pacific saury (mackerel pike), which is found in the north Pacific.

Perhaps the Chinese fleet around South America has also given up on catching squid. We noted that when many of the Chinese vessels off Peru began moving to the northwest, some of them turned south, headed for Argentina, but according to Undercurrent, Chinese captains who moved to Argentina said they wish they had stayed in Peru because the catch was so bad.

The fleet that stayed in Peru may not have fared much better. By February 7, only three Chinese squid-fishing vessels remained in that location. Why so many have moved some 3,000 km to the northwest, and what they’re fishing for now remains a mystery to us. Whatever it is, it’s also drawn a crowd of Chinese vessels from the western Pacific. We checked in with the Southern Pacific Regional Management Organization that has jurisdiction over the area, and even they are not sure what the sudden change in location by this fleet means. 

We would be very interested to hear from anyone who can help explain it.

Click here to see these vessels on the Global Fishing Watch Map where you can manipulate the time frame, zoom in, add vessels. Note: you will need to be registered to access the map (it’s free). If you are already a registered user, and the map link isn’t working, please log in then copy the link into your browser. http://globalfishingwatch.org/map/workspace/udw-627b8ae0-02f3-4fd1-b080-119462b69c8c 

Press roundup from the public launch of Global Fishing Watch

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Last month marked a big moment for SkyTruth: the public launch of Global Fishing Watch (GFW) with our partners Google and Oceana at the State Department brought an avalanche of great press that we’re excited to share with all you skytruthers.

The UK’s Daily Mail covers Leonardo DiCaprio’s interest in and support of the project. Read Leo’s remarks and Secretary Kerry’s introduction via the State Department transcript here. Scientific American gives our algorithm some props. The New York Times’ Andrew Revkin urges readers to register and explore GFW directly. See how the Washington Post places GFW in the context of broader ocean conservation efforts. Noted enviro reporter Chris Pala gives readers a glimpse of our work with research partners. Vox highlights the potential of GFW and gives a nod to SkyTruth’s past successes using satellite mapping. Find out about the way GFW can harness market forces to encourage more responsible fishing practices from Lauren Williams at ThinkProgress. Ted Danson gives SkyTruth and GFW some love on the Rachael Ray show (second video — good stuff starts around the 2:20 mark).

And this is just a sampling. All in all we had over 200 unique hits in press outlets around the world, creating a surge of interest not just in SkyTruth and in Global Fishing Watch but moreover in the power of sharing technology with the public to solve big environmental problems. Our team worked hard with our partners to make this moment possible. We will be growing and improving Global Fishing Watch in the months to come. In the meantime, we’ll be chewing on the question: what’s the Next Big Thing? Stay tuned.

Global Fishing Watch Goes Live

SkyTruth is helping make the world’s oceans a little less mysterious and a great deal more transparent with the public beta release of Global Fishing Watch, announced today at the Our Ocean Conference in Washington, DC. Actor and ocean advocate Leonardo DiCaprio announced in his remarks to the conference that Global Fishing Watch is now free and open to the public, and U.S. Secretary of State John Kerry personally received a demonstration of the tool from the Oceana, SkyTruth, and Google team.

In partnership with Oceana and Google, Global Fishing Watch was designed, developed, and tested by SkyTruth to enable users to map and analyze all of the world’s trackable commercial fishing activity. Global Fishing Watch is the world’s first dynamic, global, near real-time measure of fishing activity.

SkyTruth is proud to make this tool available to the public, enabling researchers, advocates, regulators, consumers, and industry to shine a light on fishing activity and pierce the fog of uncertainty surrounding global seafood supply chains.

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Above: With Global Fishing Watch, users will easily be able to visualize when and where fishing activity occurs. This visualization depicts six months of fishing activity by three of the world’s most prolific fleets – fishing vessels flagged to China, Japan, and Spain.

Our oceans are under pressure from overfishing, and recent stories about crime on the high seas have riveted the public’s attention. Global Fishing Watch gives legal operators a way to show the world they’re playing by the rules and that they deserve access to premium seafood markets. Global Fishing Watch provides regulators with an easy way to visualize their own data, and GFW will empower citizens and indigenous peoples to hold regulators accountable for enforcing the rules.

Oceana, SkyTruth, and Google unveiled the prototype in November 2014 at the IUCN World Parks Congress in Sydney, Australia. Today, Global Fishing Watch unlocks the power of machine-learning, mapping, and a near real-time feed of satellite data to anyone with a modern computer and decent internet connection.

When Vessels Report False Locations

Lu Yan Yuan Yu 10 TPY9 offset GE inset logo

The red tracks show the broadcast position of the Lu Yan Yuan Yu 10 apparently transiting across Antarctica (inset). The yellow tracks show its true location along the coast of South America passing through the Strait of Magellan and into port at Lima, Peru.

Occasionally, the AIS messages transmitted from a ship provide a location that makes no sense, say, in the middle of the Antarctic or over a mountain range. In such cases, either the AIS transponder has malfunctioned, the data got scrambled in transmission, or the system has been tampered with in a deliberate attempt to disguise the vessel’s location. Read more

Scientists develop precise methods to identify and measure three very different types of fishing activity

Scientists develop precise methods to identify and measure three very different types of fishing activity

Scientists develop precise methods to identify and measure three very different types of fishing activity

On dry land, ecologists and conservationists can map our human footprints on the landscape. We can see deforestation, mountaintop removal, river damming and development, and it is relatively easy to recognize our impacts on an ecosystem and the plants and animals that live there.

In the ocean, our impacts are less tangible. Water covers more than 70 percent of the surface of the globe and its resources are exploited as vigorously as those on land. Yet our footprints are lost to the ripples and waves. The effects of our exploits lie beneath the surface in a three-dimensional, liquid “landscape” that remains out of sight and far from reach.

Satellite tracking technology and big-data processing are helping solve that problem by allowing us to see and record the tracks of ships on the ocean. This week, a new study released in the journal PLoS ONE brings finer resolution to our newly developing view of how humans are using the seas. Researchers from Dalhousie University in Halifax, Nova Scotia have developed distinct methods for identifying the activity of vessels fishing with three different types of gear.

Commercial fishing vessels regularly broadcast their positions to satellites via an Automatic Identification System (AIS). By plotting these signals on a map of the ocean we can recreate their tracks and identify movement or behavior consistent with fishing. Until now, remote sensing methods have provided only a broad or incomplete view of fishing behavior.

The broad view, which tries to capture all fishing activity without considering the type of gear being used, is somewhat like trying to quantify land-based farming for a given area without distinguishing between livestock, row-crops or orchard farming.

There has also been work to develop more fine-scale views that focus in on a specific type of fishing. Previous studies have looked at trawling, for instance. While this work is significant, it doesn’t allow for a comprehensive view of fishing activity. Again, to take an analogy from the land, analyzing wheat farms doesn’t allow us to make conclusions about land use relative to all farming.

This new work allows researchers to take a comprehensive look at how fishers use the oceans by combining fine-scale analyses of three of the most common types of fishing, trawling, longlining and purse seining. It also allows them to see the amount of time spent actually fishing as opposed to something else such as transiting or hanging at anchor.

“We’re very much aware of the differences of the gear types, and we’ve tailor made our algorithms for that so we can really tell what is happening out there,” says Kristina Boerder, one of our academic partners and an author on the paper. “Because all three algorithms were developed in one place to fit into the same framework, it is the first opportunity to run these analyses all together.”

According to Elizabeth Madin, researcher from Macquarie University in New South Wales Australia, this work helps to fill critical gaps in the scientific understanding of how and where fishing is occurring on the high seas. “It’s something that’s been notoriously difficult to quantify over large scales with any accuracy in the past,” she says. “Perhaps equally importantly, this study improves our ability to harness the full power of the vast dataset of fishing patterns globally that has emerged through the use of satellite AIS technology. Marine scientists and ocean resource managers will find this incredibly valuable.

To develop their tools, Kristina and her team analyzed satellite-based AIS tracks from 2011 to Oct 2015. They looked at characteristics such as speed, changes in direction, how a vessel moves, and how long it engages in certain types of movement. Some characteristics were more important than others in identifying each type of gear. So in order to automate the identification process, they had to take a different approach for each fishing method.

For trawlers, they applied a machine learning approach. They fed a computer thousands of examples of trawling vessel tracks (millions of individual AIS signals) and asked the computer to identify patterns among those tracks. Having established the set of rules to define trawler patterns, the computer could then apply those rules to unidentified tracks and pick out trawling behavior.

Purse seiner behavior is distinct in that vessels move very quickly in a circle around a school of fish to set the net, then move very slowly for a period of time, drifting as they haul up their nets. For these vessels, the researchers applied a filtering process by which, step-by-step, the computer eliminated behavior that did not fit with the behavior of pulling up the net. By re-evaluating after each filter, and applying the next level of elimination, the algorithm narrowed in on purse seine fishing events with 97 percent accuracy.

Longliners posed a slightly different challenge because speed was not as relevant to longlining as it was to the other two gear types. In this case, the researchers used a data mining technique and applied methodology from land-based ecologists who study animal movements. Other work has shown that human fishing activity resembles that of animals searching for and hunting prey. “If an animal spends a lot of time in one confined area,” Kristina says, “there has to be something of interest there—they could be sleeping, or foraging, or hiding.” Longliners offer the same clues by spending a lot of time traveling back and forth over the same territory as they set and retrieve their lines and hooks.

Kristina says the team fed AIS signals into their computer and asked the computer to mine the data and pull out tracks that met a certain set of expectations for what longliner fishing behavior over time and space looked like. Evaluating each vessel track, the computer took note when a vessel began to behave according to the expectations given. It then applied the next level of expectations, highlighting tracks that met those, and re-evaluated again. This is the first time an automated process has been developed to identify fishing activity of longliners.

The new Dalhousie algorithms can be a game changer for fisheries management and conservation, especially in combination with Global Fishing Watch’s list of individual fishing vessels, which helps identify the species of fish being harvested. Knowing where and when a given species is being taken from the ocean allows for a much better assessment of fisheries management on a global scale.

Researchers will be able to study more precisely how human activity overlaps with such things as migration patterns of tuna, nursery areas for sharks, or ecosystems surrounding marine protected areas. “It is a tailor-made approach that can be used to search and evaluate fishing effort for any fleet anywhere in the world,” says Kristina. “We hope that other researchers and ocean managers will use our tools to further their work. It opens the door to a whole host of research questions that couldn’t be asked before.”

Impact Story: Global Fishing Watch

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Global Fishing Watch is the product of a technology partnership between SkyTruth, Oceana, and Google, designed to enable anyone to see and understand apparent fishing effort worldwide. This, in turn, will help reduce overfishing and illegal fishing and help restore the ocean to sustainability and abundance.

The story of Global Fishing Watch is really the story of a team coming together over the vision of what might be possible with satellite data on a global scale.

More than a decade after its founding, SkyTruth had become known as the small nonprofit with a big-picture view of the world. Environmental organizations had been coming to us for help solving challenging problems with remote sensing. We had become a trusted source for unbiased analysis and indisputable imagery that revealed what was once invisible. So when we were asked to turn our analysis to the issue of commercial fishing far out at sea, it was a natural fit.

In 2012, Pew Charitable Trust’s Global Ocean Legacy program was encouraging conservation in the rich and diverse waters of Easter Island Province, a remote territory of Chile located in the southeastern Pacific Ocean, about 2,500 west of the mainland. Hoping to demonstrate the need for protection and the feasibility of monitoring, they looked to us for a solution.

Satellite photographs of illegal fishing in the area would have easily made the point, but such photos don’t exist. Contrary to common belief, no one is actually taking high resolution, fine-scale images of the entire world at all times. So we had to come up with a new method of looking at fishing behavior far over the horizon.

Using low-resolution satellite radar images, we detected the presence of ships in the water based on the radar reflectivity of their metal hulls. Then we learned to work with radio signals broadcast via the Automatic Identification System (AIS) used by many ships to avoid collisions at sea. Combining the data, our analysis showed that fishing was occurring in the open ocean right up to the edge of Chile’s territorial waters. It also revealed that not all fishing vessels were broadcasting their presence with AIS. That was enough to demonstrate that Chilean waters could be vulnerable to unscrupulous fishing behavior, and the Chilean government subsequently stationed a long-range reconnaissance airplane on Easter Island to monitor activity in the area. With that project, we quickly realized the power of AIS data to identify and track fishing activity over the horizon and out of sight. And that’s where the vision began.

Making Headlines: We’re On to Something!

It’s been a little more than two years since we first demonstrated the Global Fishing Watch prototype in public, and the media coverage hasn’t stopped. Since launching the prototype we’ve been featured in more than 100 publications on six continents, from the Atlantic, the Wall Street Journal and International Business Times to media outlets in Russia, China, France, Argentina, South Africa, Australia and more. The attention is not only exciting, but extremely encouraging. Our Chief Technology Officer, Paul Woods, puts it this way; “The fact that you have so many people talking about Global Fishing Watch, a product that isn’t even available yet, is an indicator that there is a huge unmet need. There is a need for something that doesn’t exist yet.” In February, 2016, an article in the New York Times Sunday Magazine opened with a cinematic recounting of one particular day in our offices.

Late on a January 2015 evening in Shepherdstown, W.Va., a data analyst named Bjorn Bergman, surrounded by whiteboards scribbled with computer code, was orchestrating a high-stakes marine police chase halfway around the world.-Palau vs. the Poachers, NY Times Magazine.

The story, which focused on illegal fishing, went on to describe the coordination of an international effort to track and capture the Shin Jyi Chyuu 33, a vessel we had discovered fishing without permission in the waters of Palau. Other media coverage has included commentary in National Geographic Voices, by conservation technologist and Emerging Explorer Shah Selbe who wrote:

The methods that we traditionally relied upon (to manage marine reserves) can no longer meet these protection needs, so there currently exists a massive demand for new tools and fresh ideas. . . The Global Fishing Watch prototype looks to be a great tool, and a strong step in the right direction when it comes to ocean information.

In a feature article in WIRED, W. Wayt Gibbs wrote:

Large commercial fishers are about to get a new set of overseers: conservationists—and soon the general public—armed with space-based reconnaissance of the global fleet. . . . now environmentalists are using sophisticated technology of their own to peel away that cloak of invisibility.

In addition to filling an unmet need, as Paul described, our partnerships with globally recognized leaders Google and Oceana have helped launch us into the headlines at a time of rising awareness and excitement for protecting our ocean resources. In the past three years alone, high-profile celebrities and philanthropic organizations such as Leonardo DiCaprio, Paul Allen, the Packard Foundation and the Walton Family Foundation have collectively contributed tens of millions of dollars to ocean conservation and fisheries management. Political recognition for ocean issues has also gained momentum in recent years. In 2008, the United Nations officially recognized June 8th as World Oceans Day, and in February 2014 by President Obama established of the world’s largest fully protected marine reserve in the central Pacific Ocean.

“It’s great to see that people agree with us that this is a big deal,” says Paul, noting that it’s more than just a shot in the spotlight. We know what we’re doing is exciting, and we know it’s important, but a part of what’s so valuable about Global Fishing Watch lies in the crowdsourcing capability. Media attention like this is the best recruitment tool for users who are going to help elevate this platform to become one of the most robust resources for monitoring commercial fishing on the world’s oceans. We’re excited to see that happen. Below is a brief selection of the many articles that have featured Global Fishing Watch.

2016 (January-April)

Business Wire: Global Fishing Watch Enables Clear View of Fishing in Marine Protected Areas
Yale Environment 360: How Satellites and Big Data Can Help to Save the Oceans
Christian Science Monitor: SkyTruth spots environmental problems from space
Wall Street Journal: Indonesia Takes Explosive Approach to Illegal Fishing
New York Times Sunday Magazine: Palau Vs. the Poachers

2015

National Geographic: Tiny Team Uses Satellites to Bust Illegal Fishing Worldwide
National Geographic:11 Ways Technology Stops Crime Against Endangered Animals
EcoWatch: 15 Huge Ocean Conservation Victories of 2015
The Guardian: To catch a fishing thief, SkyTruth uses data from the air, land and sea
GovInsider: Open Dataset of the Week: Illegal fishing in Indonesia
Jakarta Post: Government Set to Improve Commercial Fishing Transparency
Fast Company: Inside The Satellite Detective Agencies That Catch The Companies Destroying The Planet—From Space
New York Times: Mapping the World’s Problems
Christian Science Monitor: How to free modern slaves: Three tech solutions that are working Part 5 of a series on human trafficking: Includes discussion of how GFW can combat slavery in Thailand’s fishing industry. “ . . . Outside of government, one of the most ambitious initiatives launched in recent years is Global Fishing Watch, an online platform that uses…”

2014

Wall Street Journal: Google, Partners Target Illegal Fishing with New Technology
Wired: The Plan to Map Illegal Fishing from Space
The Atlantic: Tracking Fishy Behavior from Space
PRI/BCC “The World”: (Radio) Google is teaming up with environmental groups to help fight illegal fishing
CNN: (Video): New Tool Monitors “Pirate” Fishing Boats
CBSN:CBS News: New System to Combat Global Overfishing
Bloomberg: Commercial Fishing Far Out Sea & Over the Horizon – Until Now
Forbes: Google Helps Map Illegal Fishing
Examiner.com: Setting the Watchdogs on Illegal Fishing with Global Fishing Watch
International Business Times: Google-Backed Satellite Project Aims To Track, Eliminate Illegal Fishing Around The World
Maritime Executive: New Google Tool to Track Global Fisheries: “Global Fishing Watch provides an unprecedented view of human interaction with the ocean”