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Fish Farms at Sea: The Ground Truth from Google Earth

Overview of attention for article published in PLOS ONE, February 2012
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45 X users
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Title
Fish Farms at Sea: The Ground Truth from Google Earth
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030546
Pubmed ID
Authors

Pablo Trujillo, Chiara Piroddi, Jennifer Jacquet

Abstract

In the face of global overfishing of wild-caught seafood, ocean fish farming has augmented the supply of fresh fish to western markets and become one of the fastest growing global industries. Accurate reporting of quantities of wild-caught fish has been problematic and we questioned whether similar discrepancies in data exist in statistics for farmed fish production. In the Mediterranean Sea, ocean fish farming is prevalent and stationary cages can be seen off the coasts of 16 countries using satellite imagery available through Google Earth. Using this tool, we demonstrate here that a few trained scientists now have the capacity to ground truth farmed fish production data reported by the Mediterranean countries. With Google Earth, we could examine 91% of the Mediterranean coast and count 248 tuna cages (circular cages >40 m diameter) and 20,976 other fish cages within 10 km offshore, the majority of which were off Greece (49%) and Turkey (31%). Combining satellite imagery with assumptions about cage volume, fish density, harvest rates, and seasonal capacity, we make a conservative approximation of ocean-farmed finfish production for 16 Mediterranean countries. Our overall estimate of 225,736 t of farmed finfish (not including tuna) in the Mediterranean Sea in 2006 is only slightly more than the United Nations Food and Agriculture Organization reports. The results demonstrate the reliability of recent FAO farmed fish production statistics for the Mediterranean as well as the promise of Google Earth to collect and ground truth data.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
New Zealand 2 1%
Bangladesh 1 <1%
Malaysia 1 <1%
Portugal 1 <1%
Chile 1 <1%
Italy 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
Other 4 2%
Unknown 162 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 27%
Student > Ph. D. Student 28 16%
Student > Master 20 11%
Other 12 7%
Student > Doctoral Student 9 5%
Other 37 21%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 34%
Environmental Science 36 20%
Earth and Planetary Sciences 12 7%
Social Sciences 8 5%
Engineering 7 4%
Other 20 11%
Unknown 34 19%