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        <gco:CharacterString>For the sustainable development of the offshore renewable energy industry, it is necessary to
reduce or avoid the damaging effects of noise (such as death or permanent hearing damage), from
activities which produce high sound pressure levels, such as pile driving, on marine mammals. One
way to achieve this is to ensure that marine mammals are not present in areas where loud noises are
being produced, by deterring them by means of safe sounds produced by Acoustic Mitigation Devices
(AMDs). Research is needed to determine whether AMDs can mitigate immediate vicinity impacts of
loud sounds, which could give rise to temporary or permanent hearing damage, injury or death of
marine mammals.
In the North Sea, the two most abundant marine mammal species are the harbour porpoise
(Phocoena phocoena) and the harbour seal (Phoca vitulina). COWRIE commissioned SEAMARCO to
carry out four studies on the audibility of sounds produced by three selected AMDs and their effect on
the behaviour of harbour porpoises and harbour seals (playback experiments). In addition to
achieving these aims, SEAMARCO estimated the distances at which sounds from AMDs are audible
to, and elicit behavioural responses in, harbour porpoises and harbour seals.</gco:CharacterString>
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• Determine the audibility (hearing thresholds) of AMD sounds for harbour porpoises and harbour
seals
• Determine the behavioural response (avoidance thresholds) of harbour porpoises and harbour
seals to AMD sounds
• Compare the hearing thresholds for the AMD sounds with the tonal thresholds (can hearing
thresholds of broadband signals be predicted from hearing thresholds for tonal sounds?)
• Estimate the distance at which AMD sounds can be heard by harbour porpoises and harbour
seals at sea
• Estimate the distance at which AMDs cause a behavioural response in harbour porpoises and
harbour seals at sea.
The overall purpose of the research was to contribute towards the optimal use of AMDs to
deter marine mammals from pile driving sites. The results will inform the selection of the optimum
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