Robotic Submarines Map Vulnerable Deep-Sea Coral Reefs in Southwest England

A fleet of robotic submarines, based at the National Oceanography Centre (NOC), head-quartered in in Southampton, have been used to map vulnerable cold-water coral reefs in the deep ocean off southwest England.

Image of rich cold-water coral reef in the Whittard Canyon area captured by the Isis ROV

This data set is being used to inform the management of a new Marine Conservation Zone (MCZ) that protects the only area of deep-sea coral habitat in English waters. This MCZ forms part of a national network that is being expanded this week as a second round of designated sites are announced by Defra.

Scientists at the NOC worked in partnership with the Defra network to collect data from The Canyons MCZ, which is over 300 km southwest of Cornwall, using an unprecedented variety of marine robotic vehicles deployed from the research ship, RRS James Cook. Collected data include 3D maps of the seafloor and high-quality video and photos, and show the location and extent of the corals. This data set is providing Defra with robust evidence that will guide decisions about how to implement management measures at the site.

Professor Russell Wynn of NOC, who led the project and is on part-secondment to Defra, said: “The vibrant cold-water coral reefs and associated fauna in The Canyons MCZ provide a rare example of relatively pristine seafloor habitat within English waters. They are the marine equivalent of our ancient oak woodlands, and just as that precious habitat is protected in sites such as the New Forest National Park, this MCZ will help to preserve this marine biodiversity hotspot and minimise the impacts of current and future human pressures.”

The Canyons MCZ is particularly challenging to survey as much of the site occurs within a deep-sea canyon over a mile deep. By using the research ship and robotic vehicles together, the NOC team were able to create a series of detailed maps of the site at different scales from tens of kilometres down to a few millimetres. Ship-based seafloor mapping provided information on the overall shape of the canyon, and the Autosub6000 Autonomous Underwater Vehicle was then ‘flown’ within the canyon to make more detailed maps of coral habitats. While Autosub6000 was undertaking its missions, the NOC’s Remotely Operated Vehicle, Isis, was deployed to map steep canyon walls and collect images and samples that confirmed coral presence and species.

By using these robotic vehicles in combination, the team were able to collect a vast array of high-quality data in just three days, demonstrating how robotic vehicles can augment relatively expensive ship operations. In addition, by directly deploying the vehicles into the depths of the canyon, the team were able to map and image steep and overhanging rock walls that hosted extensive coral communities; these habitats were previously overlooked using conventional (downward-looking) ship-based instruments.

Dr Carole Kelly, a Marine Evidence Manager at Defra, said: “The Canyons MCZ is a challenging site for us to survey, as it is in deep water far from land and has a complex and rugged landscape. The equipment and expertise provided by the NOC enabled us to gather high-quality data from this important site in a cost-effective way. These data are providing us with robust evidence about the location and extent of designated features such as cold-water coral habitats, which will enable us to make informed decisions about future site management.”

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.