In the field, corals obtain sugars (their ‘fast food’) from their symbiotic algae. But most other nutrients are obtained when they feed on live plankton. However, in land-based coral aquaculture settings, these sources of nutrition are not normally available
This project is exploring technological and methodological options to automate, and upscale, the sexual propagation of corals in an aquaculture setting.
New tools are needed to understand the resilience of corals, the efficacy of coral seeding initiatives and their capacity to cope with rising temperatures in response to global heating trajectories.
Max Moonier, AIMS and UWA
Dr Luke Thomas, AIMS
Dr Line Bay, AIMS
Dr Ryan Lister, UWA
Dr Phillip Cleves, Department of Biology, Johns Hopkins University
Dr Yui Sato, AIMS
Australian Institute of Marine Science
University of Western Australia
Johns Hopkins University
This page was updated in October 2025
The Great Barrier Reef annual mass spawning is an important time of year when corals and other reef animals reproduce. It is one of the most extraordinary natural phenomenon on the planet.
Corals, guided by seasonal warming, moon phases and tides, release egg and sperm into the water around the same time to create new corals. The event usually takes place on a handful of nights following the full moons in October and November, but sometimes in December. It occurs mostly under the cover of night.
The annual mass spawning of corals in the Great Barrier Reef is one of the most extraordinary natural phenomena on the planet. Scientists use this once-a-year opportunity to undertake valuable research needed to understand the early lives of coral.
AIMS scientists also investigate ways to enhance coral’s tolerance to warming oceans due to climate change and develop methods to scale up and fast-track coral recovery after disturbances.
The AIMS Research Data platform is a ‘research and development network’ driving solutions in new research in Australia’s Marine and Coastal ecosystems. It encompasses next-generation sensors, artificial intelligence, robotics, autonomous systems and cloud computing to provide more comprehensive knowledge, faster, to inform sustainable management.
The copyright notice, disclaimer notice, privacy policy and attribution notice of the AIMS Website also apply to the Data platform, Data Catalogue and the information holdings, including metadata records, text, maps, spatial layers and downloadable data objects.
The repository can be searched using the AIMS Data Explorer. See How to Use the AIMS Data Catalogue
The mission of the AIMS Data Repository is to capture, preserve and provide access to AIMS research data to support the institute's publicly funded research and data assets. The repository is committed to securely storing and publishing research data to enable reproducibility, promote research integrity and enhance access through innovative data tools linked to informative metadata.
