15m length) fishing vessels was analysed and clear gear-specific temporal and spatial differences in activity were found. Mobile demersal gears had the highest intensity and widest distribution of activity in the study area, and so might be expected to have the most widespread ecosystem-level impacts. The potential effects of two proposed fisheries closures; a planned wave energy testing facility (Wave Hub) and a candidate offshore Marine Protected Area (Haig Fras) are described. Maps indicate that mobile demersal gear fleets would be little affected if they were excluded from these proposed closures, but if the static gear fleets were excluded this would likely result in displacement of certain vessels, increasing fishing pressure on other rocky grounds and other fishers. Predictions concerning the effects of fisheries displacement can be improved through the use of high-resolution gear-specific activity data. This study shows that VMS can provide an invaluable source of such data, provided that gear information is made available to fisheries managers and scientists."> 15m length) fishing vessels was analysed and clear gear-specific temporal and spatial differences in activity were found. Mobile demersal gears had the highest intensity and widest distribution of activity in the study area, and so might be expected to have the most widespread ecosystem-level impacts. The potential effects of two proposed fisheries closures; a planned wave energy testing facility (Wave Hub) and a candidate offshore Marine Protected Area (Haig Fras) are described. Maps indicate that mobile demersal gear fleets would be little affected if they were excluded from these proposed closures, but if the static gear fleets were excluded this would likely result in displacement of certain vessels, increasing fishing pressure on other rocky grounds and other fishers. Predictions concerning the effects of fisheries displacement can be improved through the use of high-resolution gear-specific activity data. This study shows that VMS can provide an invaluable source of such data, provided that gear information is made available to fisheries managers and scientists.">
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Mapping fisheries for marine spatial planning: Gear-specific vessel monitoring system (VMS), marine conservation and offshore renewable energy

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  • Campbell, Maria S.
  • Stehfest, Kilian M.
  • Votier, Stephen C.
  • Hall-Spencer, Jason M.
Abstract
Vessel Monitoring System (VMS) data from 2005 to 2008 in ICES Divisions VIIe-h were used to assess the distribution and intensity of fishing activity in and around the western English Channel, one of the most intensively used marine areas on the planet. The distribution of the UK fleet of large (>15m length) fishing vessels was analysed and clear gear-specific temporal and spatial differences in activity were found. Mobile demersal gears had the highest intensity and widest distribution of activity in the study area, and so might be expected to have the most widespread ecosystem-level impacts. The potential effects of two proposed fisheries closures; a planned wave energy testing facility (Wave Hub) and a candidate offshore Marine Protected Area (Haig Fras) are described. Maps indicate that mobile demersal gear fleets would be little affected if they were excluded from these proposed closures, but if the static gear fleets were excluded this would likely result in displacement of certain vessels, increasing fishing pressure on other rocky grounds and other fishers. Predictions concerning the effects of fisheries displacement can be improved through the use of high-resolution gear-specific activity data. This study shows that VMS can provide an invaluable source of such data, provided that gear information is made available to fisheries managers and scientists.

Suggested Citation

  • Campbell, Maria S. & Stehfest, Kilian M. & Votier, Stephen C. & Hall-Spencer, Jason M., 2014. "Mapping fisheries for marine spatial planning: Gear-specific vessel monitoring system (VMS), marine conservation and offshore renewable energy," Marine Policy, Elsevier, vol. 45(C), pages 293-300.
    • Handle: RePEc:eee:marpol:v:45:y:2014:i:c:p:293-300
    DOI: 10.1016/j.marpol.2013.09.015
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    1. Joao C. Ferreira & Ana Lucia Martins, 2019. "Edge Computing Approach for Vessel Monitoring System," Energies, MDPI, vol. 12(16), pages 1-15, August.
    2. Solomon Amoah Owiredu & Kwang-Il Kim, 2021. "Spatio-Temporal Fish Catch Assessments Using Fishing Vessel Trajectories and Coastal Fish Landing Data from around Jeju Island," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    3. Alexander, Karen A. & Meyjes, Sophie A. & Heymans, Johanna J., 2016. "Spatial ecosystem modelling of marine renewable energy installations: Gauging the utility of Ecospace," Ecological Modelling, Elsevier, vol. 331(C), pages 115-128.
    4. Gasparatos, Alexandros & Doll, Christopher N.H. & Esteban, Miguel & Ahmed, Abubakari & Olang, Tabitha A., 2017. "Renewable energy and biodiversity: Implications for transitioning to a Green Economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 161-184.
    5. Turner, Rachel A. & Polunin, Nicholas V.C. & Stead, Selina M., 2015. "Mapping inshore fisheries: Comparing observed and perceived distributions of pot fishing activity in Northumberland," Marine Policy, Elsevier, vol. 51(C), pages 173-181.
    6. Pascal Thoya & Joseph Maina & Christian Möllmann & Kerstin S. Schiele, 2021. "AIS and VMS Ensemble Can Address Data Gaps on Fisheries for Marine Spatial Planning," Sustainability, MDPI, vol. 13(7), pages 1-12, March.
    7. Arabatzis, Garyfallos & Kyriakopoulos, Grigorios & Tsialis, Panagiotis, 2017. "Typology of regional units based on RES plants: The case of Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1424-1434.

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