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Researchers track commercial fishing worldwide in near real-time
admin
2018-02-22
发布年2018
语种英语
国家美国
领域地球科学
正文(英文)
This map shows fishing activity by vessels broadcasting the automatic identification system. Credit: University of California - Santa Barbara

The global fishing fleet is so big it can be seen from space. Really.

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.

Using satellite tracking, machine learning and common ship-tracking technology, scientists from UC Santa Barbara teamed up with colleagues at Global Fishing Watch, National Geographic Society's Pristine Sea project, Dalhousie University, SkyTruth, Google and Stanford University to illuminate the extent of global fishing—down to single movements and hourly activity. Their findings appear in the journal Science.

"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," said co-author Christopher Costello, a professor at UCSB'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 , ecosystems and fishermen."

Researchers track commercial fishing worldwide in near real-time
Activity tracks for different types of fishing vessels over one calendar year. AIS tracks, recorded by satellites, of a trawler (blue line), a purse seiner (green line) and longliner (red line). The trawler covered approximately 48,000 km, the purse seiner 72,000 km, and the longliner 94,000 km in one year. Purse seiners target mainly schooling species from small sardines to ocean-going tuna. Longliners target mainly pelagic (ocean-going) species such as tuna, shark and billfish. Trawlers target mainly demersal species close to the sea floor such as flatfish, crab and rays. Credit: Global Fishing Watch

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.

More than 40 million hours of fishing activity was observed 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.

Credit: Global Fishing Watch

"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," said co-author Juan Mayorga, a project scientist in the Sustainable Fisheries Group at the Bren School and with NatGeo'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 said.

"In addition, we examined whether fishing diminished when fuel prices were high and found a weak response," he added. "These are the kinds of things about which we've always speculated but haven't ever been able to test—until now."

The resulting interactive map—which is freely available to the public—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.

Maps of total fishing effort, with a dark theme and a light theme. Credit: Global Fishing Watch

"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 said.

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.

"This collaboration opens up myriad research opportunities," Costello explained. "We are leveraging the products developed by Global Fishing Watch to address new and important research questions that will improve fisheries sustainability around the world."

Explore further: Arctic, major fishing nations agree no fishing in Arctic, for now

More information: D.A. Kroodsma el al., "Tracking the global footprint of fisheries," Science (2018). science.sciencemag.org/cgi/doi … 1126/science.aao5646

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来源平台Science X network
文献类型新闻
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/117709
专题地球科学
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admin. Researchers track commercial fishing worldwide in near real-time. 2018.
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