4.7 Article

Predictable changes in fish school characteristics due to a tidal turbine support structure

期刊

RENEWABLE ENERGY
卷 141, 期 -, 页码 1092-1102

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2019.04.065

关键词

Environmental monitoring; Environmental impact; Fish behaviour; Marine renewable energy; Tidal stream turbine

资金

  1. Defra [NE/J004308/1, NE/J004200/1, NE/J004332/1]
  2. NERC MREKEP Internship
  3. Innovate UK KTP
  4. MeyGen Ltd. [KTP009812]
  5. NERC VertlBase project [NE/N01765X/1]
  6. UK Department for Business, Energy and Industrial Strategy's offshore energy Strategic Environmental Assessment programme
  7. NERC
  8. NERC [NE/J004200/1, NE/J004332/1, NE/J004308/1] Funding Source: UKRI

向作者/读者索取更多资源

There is uncertainty on the ecological effects of tidal stream turbines. Concerns include animal collision with turbine blades, disruption of migratory and foraging behaviour, attraction of animals to prey aggregating around turbines, or conversely displacement of animals from preferred habitat. This study used concurrent ecological and physical measurements to show the predictability of fish school characteristics (presence, school area and height above seabed) in a high energy tidal site across spring/neap, ebb/flood and daily cycles, and how this changed around a turbine structure. The rate of schools and school area per hour increased by 1.74 and 1.75 times respectively around a turbine structure compared to observations under similar conditions without a turbine structure. The largest schools occurred at peak flow speeds and the vertical distribution of schools over the diel cycle was altered around the turbine structure. While predictable attraction or aggregation of prey may increase prey availability and predator foraging efficiency, attraction of predators has the potential to increase animal collision risk. Predictable changes from the installation of turbine structures can be used to estimate cumulative effects on predators at a population level. This study can guide a strategic approach to the monitoring and management of turbines and arrays. (C) 2019 The Authors. Published by Elsevier Ltd.

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