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Benefits of Rebuilding Global Marine Fisheries Outweigh Costs

Overview of attention for article published in PLOS ONE, July 2012
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Title
Benefits of Rebuilding Global Marine Fisheries Outweigh Costs
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040542
Pubmed ID
Authors

Ussif Rashid Sumaila, William Cheung, Andrew Dyck, Kamal Gueye, Ling Huang, Vicky Lam, Daniel Pauly, Thara Srinivasan, Wilf Swartz, Reginald Watson, Dirk Zeller

Abstract

Global marine fisheries are currently underperforming, largely due to overfishing. An analysis of global databases finds that resource rent net of subsidies from rebuilt world fisheries could increase from the current negative US$13 billion to positive US$54 billion per year, resulting in a net gain of US$600 to US$1,400 billion in present value over fifty years after rebuilding. To realize this gain, governments need to implement a rebuilding program at a cost of about US$203 (US$130-US$292) billion in present value. We estimate that it would take just 12 years after rebuilding begins for the benefits to surpass the cost. Even without accounting for the potential boost to recreational fisheries, and ignoring ancillary and non-market values that would likely increase, the potential benefits of rebuilding global fisheries far outweigh the costs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 409 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
Brazil 5 1%
United Kingdom 4 <1%
Canada 2 <1%
Mexico 2 <1%
Italy 1 <1%
Bangladesh 1 <1%
Costa Rica 1 <1%
India 1 <1%
Other 9 2%
Unknown 377 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 75 18%
Student > Master 56 14%
Student > Ph. D. Student 54 13%
Student > Bachelor 47 11%
Other 28 7%
Other 82 20%
Unknown 67 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 125 31%
Environmental Science 104 25%
Social Sciences 24 6%
Economics, Econometrics and Finance 23 6%
Earth and Planetary Sciences 14 3%
Other 33 8%
Unknown 86 21%