SYDNEY, April 15 (Xinhua) -- New research from Australia's Southern Cross University confirms the accuracy of numerical modeling in predicting coral bleaching, marking a significant advance in reef conservation efforts.
The study, published on Tuesday in Conservation Physiology, validated a coral bleaching model, part of the eReefs platform, by comparing its predictions with laboratory data from previous experiments on branching coral, a species that has numerous branches.
eReefs model is Australia's comprehensive marine ecosystem monitoring system backed by the Commonwealth Scientific and Industrial Research Organization, the Australian Institute of Marine Science, and the Queensland and Australian governments to support the long-term management of the Great Barrier Reef.
Coral bleaching poses a significant threat to reefs globally, particularly during marine heatwaves that are becoming more frequent and severe due to climate change. Scientists are exploring ways to help shield corals from bleaching stress on Australia's Great Barrier Reef.
The refined model accurately captured the timing of bleaching onset under elevated temperature and light conditions, aligning closely with declines in photosynthetic performance observed in controlled settings, said the researchers.
"A validated model is crucial for assessing reef interventions and management strategies and giving insights into how reefs might fare under various climate scenarios," said lead author Sophia Ellis from Southern Cross University.
The improved model supports the Reef Restoration and Adaptation Program (RRAP) to protect the Great Barrier Reef, particularly in evaluating shading techniques, said the study.
"Shading technologies could relieve bleaching stress over large portions of the reef," said Associate Professor Daniel Harrison of Southern Cross University, lead of the RRAP Cooling and Shading subprogram.
Numerical modeling plays a key role in projecting performance outcomes and guiding decisions on the optimal shade level and duration, Harrison said. ■
