Using satellite tracking, machine learning, and common ship-tracking technology, researchers have directly quantified industrial fishing’s global footprint.
“…until now we didn’t really know where people were fishing in vast swaths of the ocean…”
Their data reveal, among other surprises, that five countries account for more than 85 percent of high seas fishing and that holidays affect fishing patterns much more than fish migrations or ocean conditions.
The researchers created an interactive map—which is freely available to the public—that shows a near real-time view of the fishing patterns of individual vessels and fleets. This allows anyone to see what is going on in their own backyard and to observe where policy boundaries are in place and where they are not.
The research opens a gateway to better management of global fleets and their response to changes in climate, policy, economics, and other drivers.
A global view
Fishing activity now covers at least 55 percent of the world’s oceans—four times the land area covered by agriculture—and can now be monitored, in near real time, to the level of individual vessels. In fact, 70,000 vessels of the global fishing fleet traveled 460 million kilometers in 2016, equivalent to traveling to the moon and back 600 times.
“I think most people will be surprised that until now we didn’t really know where people were fishing in vast swaths of the ocean,” says coauthor Christopher Costello, a professor at the University of California, Santa Barbara’s Bren School of Environmental Science & Management. “This new real-time dataset will be instrumental in designing improved management of the world’s oceans that is good for the fish, ecosystems, and fishermen.”
“…policies, cultures, and economics play a huge role in driving fishing behavior…”
While the dataset is hundreds of times higher in resolution than previous global surveys, the total area of the ocean fished is likely higher than the 55 percent estimated. That’s because some fishing efforts in regions of poor satellite coverage or in exclusive economic zones with a low percentage of vessels using the automatic identification system (AIS) were not included.
The team used machine learning technology to analyze 22 billion messages publicly broadcasted from vessels’ AIS positions from 2012 to 2016, to answer the question, “What drives commercial fishing behavior?” Based solely on vessel movement patterns, the Global Fishing Watch algorithm was able to identify more than 70,000 commercial fishing vessels, the sizes and engine powers of these vessels, what type of fishing they engaged in, and when and where they fished down to the hour and kilometer.
This new global view of fishing draws on advances in satellite technology and big data processing.
So, what drives fishing activity?
Researchers observed more than 40 million hours of fishing activity in 2016, and while most nations appeared to fish predominantly within their own exclusive economic zones, China, Spain, Taiwan, Japan, and South Korea accounted for 85 percent of the observed fishing on the high seas.
“This dataset provides such high-level resolution on fishing activity that we can even see cultural patterns, such as when fishermen in different regions take time off,” says coauthor Juan Mayorga, a project scientist in the Sustainable Fisheries Group at the Bren School and with National Geographic’s Pristine Seas. For example, in the Chinese fishing fleet—the largest in the world—during Chinese New Year fishing activity is reduced to levels comparable to those during seasonal bans enforced by the government.
The investigative team also found that when and where fishing occurs are tied more to politics and culture than to natural cycles such as fish migrations and marine food production.
“Our analysis demonstrated that policies, cultures, and economics play a huge role in driving fishing behavior,” Costello says. “In addition, we examined whether fishing diminished when fuel prices were high and found a weak response. These are the kinds of things about which we’ve always speculated but haven’t ever been able to test—until now.”
“By making this data public, we are providing governments, management bodies, and researchers with the information needed to make transparent and well-informed decisions to better regulate fishing activities and reach conservation and sustainability goals,” Mayorga says.
The study not only opens a gateway for improved ocean management but also confirms that fishing activity is clearly bounded according to differing management regimes, which indicates the role that well-enforced policy can play in curbing overexploitation.
The researchers report their findings in the journal Science.
Additional contributors to the research are from UC Santa Barbara, Global Fishing Watch, National Geographic Society’s Pristine Sea project, Dalhousie University, SkyTruth, Google, and Stanford University.