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A Step Towards Seascape Scale Conservation: Using Vessel Monitoring Systems (VMS) to Map Fishing Activity

Overview of attention for article published in PLOS ONE, October 2007
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policy
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304 Mendeley
Title
A Step Towards Seascape Scale Conservation: Using Vessel Monitoring Systems (VMS) to Map Fishing Activity
Published in
PLOS ONE, October 2007
DOI 10.1371/journal.pone.0001111
Pubmed ID
Authors

Matthew J. Witt, Brendan J. Godley

Abstract

Conservation of marine ecosystems will require a holistic understanding of fisheries with concurrent spatial patterns of biodiversity. Using data from the UK Government Vessel Monitoring System (VMS) deployed on UK-registered large fishing vessels we investigate patterns of fisheries activity on annual and seasonal scales. Analysis of VMS data shows that regions of the UK European continental shelf (i.e. Western Channel and Celtic Sea, Northern North Sea and the Goban Spur) receive consistently greater fisheries pressure than the rest of the UK continental shelf fishing zone. VMS provides a unique and independent method from which to derive patterns of spatially and temporally explicit fisheries activity. Such information may feed into ecosystem management plans seeking to achieve sustainable fisheries while minimising putative risk to non-target species (e.g. cetaceans, seabirds and elasmobranchs) and habitats of conservation concern. With multilateral collaboration VMS technologies may offer an important solution to quantifying and managing ecosystem disturbance, particularly on the high-seas.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 2%
United States 5 2%
Mozambique 2 <1%
Spain 2 <1%
Australia 2 <1%
Brazil 2 <1%
Norway 1 <1%
France 1 <1%
South Africa 1 <1%
Other 9 3%
Unknown 274 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 75 25%
Student > Ph. D. Student 51 17%
Student > Master 46 15%
Student > Bachelor 27 9%
Student > Postgraduate 13 4%
Other 45 15%
Unknown 47 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 123 40%
Environmental Science 70 23%
Earth and Planetary Sciences 15 5%
Engineering 8 3%
Unspecified 6 2%
Other 23 8%
Unknown 59 19%