PARIS: Scientists will take advantage of an unprecedented fall in shipping activity to listen in to the world’s oceans and study how manmade noise affects marine ecosystems, the project organisers said Thursday.
Travel and economic downturns due to Covid-19 have seen falls in maritime traffic, sea floor exploration and other human interference, creating “a unique moment” to gather data on the oceans’ sonic landscape, they said.
The scientific community has already identified more than 200 non-military hydrophones — aquatic listening devices capable of picking up low-frequency signals from hundreds of kilometres away — worldwide, and aim to link up a total of 500 to capture signals from whales and other marine life.
Sea animals use sound and natural sonar to navigate and communicate across vast swathes of ocean.
While numerous previous studies have identified a link between manmade marine noise and changes in species behaviour, the precise links remain poorly understood. “Assessing the risks of underwater sound for marine life requires understanding what sound levels cause harmful effects and where in the ocean vulnerable animals may be exposed to sound exceeding these levels,” said Peter Tyack, professor of Marine Mammal Biology at the University of St Andrews.
Researchers hope to create a global, open source data repository with information gathered from hydrophones across the planet to measure and document the effects of noise on the behaviour of sea life.
Software under development led by the University of New Hampshire (MANTA) will allow collaborators to compare and visualise ocean audio data. In addition, the Open Portal to Underwater Sound (OPUS) is being tested by the Alfred Wegener Institute in Bremerhaven, Germany, to promote the use of the data. The team said that the pandemic had presented a window of opportunity for maritime study equivalent to the period of above ground nuclear testing between 1945 and 1980. Those tests created traces of elements that spread widely and provided major insights into ocean biology.