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RangerBot Underwater Drone Becomes a ‘LarvalBot’ to Spread Coral Spawn on Barrier Reef

Collecting corals ready for spawning - COPYRIGHT Gary Cranitch

Conservation

RangerBot Underwater Drone Becomes a ‘LarvalBot’ to Spread Coral Spawn on Barrier Reef

QUT’s reef protector robot is set to become ‘mother’ to hundreds of millions of baby corals in a special delivery coinciding with this month’s annual coral spawning on the Great Barrier Reef. In a world first, QUT’s underwater robot RangerBot has been transformed into LarvalBot by QUT’s robotics team, led by Professor Matthew Dunbabin from the Institute of Future Environments.

Main points:

  • Scientists collect hundreds of millions of coral spawn from the corals that have survived the two recent mass coral bleaching events
  • They’re reared into baby corals in mass quantities inside large floating enclosures on the reef
  • Once developed (in around 5-7 days), the semi-autonomous robot, LarvalBot, will help deliver the tiny baby coral larvae onto targeted reefs
  • Reared larvae will also be distributed as ‘larval clouds’ on damaged reef areas on a larger scale than previously possible
  • The technique of delivering reared coral larvae onto reefs is known as ‘larval restoration’.

Professor Dunbabin is working with Southern Cross University’s (SCU) Professor Peter Harrison – pioneer of the coral larval restoration technique (coral IVF) – who is heading the overall research project.

 

 

The collaboration between QUT and SCU, funded by the Great Barrier Reef Foundation, aims at restoring damaged parts of the Great Barrier Reef and speeding up the recovery of ecosystems affected by coral bleaching.

Large volumes of coral spawn will be captured and transferred into fine mesh pools for almost a week until the larvae is ready to be re-settled.

“We concentrate the larvae and put some of these into LarvalBot to gently squirt the larvae onto dead reef areas allowing it to settle and transform into coral polyps or baby corals,” Professor Harrison (pictured above) said.

“The surviving corals will start to grow and bud and form new colonies which will grow large enough after about three years to become sexually reproductive and complete the life cycle.”

The spectacular synchronised spawning of coral reproduction on the Great Barrier Reef is a highlight on scientists’ calendars worldwide and is expected to take place in late November.

The researchers say by giving nature a helping hand through artificial means, it allows up to a 100-times increase over previous methods.

Professor Dunbabin said delivering baby corals and helping grow the Great Barrier Reef builds on the pioneering robotics technology developed to help control crown-of-thorns starfish.

“I am passionate about protecting the reef in any way I can and extremely excited to have the opportunity to work with world leaders in coral reef restoration,” Professor Dunbabin said.

“We aim to have two or three robots ready for the November spawn. One will carry about 200,000 larvae and the other about 1.2 million.

“During operation, the robots will follow preselected paths at constant altitude across the reef and a person monitoring will trigger the release of the larvae to maximise the efficiency of the dispersal.”

Professor Dunbabin (pictured above) calculated the dispersal would cover 1,500 sq.m/ hour per robot.

“This has the potential to revolutionise coral restoration on reefs worldwide,” said Professor Harrison.

The project has come to life after the researchers won $300,000 from the Great Barrier Reef Foundation’s Out of the Blue Box Reef Innovation Challenge supported by the Tiffany & Co. Foundation.

The Foundation’s Managing Director Anna Marsden said the recent IPCC report reinforced the closing window of opportunity for the world to act on climate change and the sharp threat facing coral reefs globally.

Professor Dunbabin said it was hoped reef rangers and other managers would use the technology in the future.

“Whilst this is new, we have trialled the different technologies and are confident of its success,” he said.

Professor Dunbabin is also a chief investigator at the QUT-based Australian Centre for Robotic Vision.

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