Marine heatwaves, driven by climate change, are becoming more frequent and intense worldwide. Although we know that heatwaves kill marine organisms and have devastating effects on ecosystems, there is currently no way to predict these effects or help ecosystems adapt.
An international team of marine scientists from Hong Kong, Japan, and Canada, led by Dr Bayden D RUSSELL (Associate Director of the Swire Institute of Marine Science and Associate Professor from the School of Biological Sciences, the University of Hong Kong), including Dr Ben HARVEY (University of Tsukuba), Dr Katie MARSHALL and Professor Christopher HARLEY (University of British Columbia), have developed a new framework to allow us to not only understand the effects of marine heatwaves, but potentially predict their effects before they occur. This new method will allow researchers worldwide to identify the key biological traits of marine species in their region and predict how they are likely to be stressed by heatwaves. Most importantly, using this trait-based approach will allow managers and policy makers to identify the key species which are needed to support ecosystem function and develop strategies to help mitigate the damage caused by heatwaves.
Identifying the Survivors: the Future of Marine Ecosystems
Marine heatwaves are discrete heating events in which marine waters heat up to 6°C above normal and can last from days to months. Such high temperatures cause stress to animals and seaweeds, often killing them and in some cases driving range contractions to cooler waters. At the same time, tropical species will move into these colder waters as they warm and alter these ecosystems, sometimes irreversibly. The authors identified that key functional traits, such as heat tolerance, dispersal ability, feeding habits, and behavioural traits potentially affecting ecosystem characteristics, could be used to more accurately identify both how species will be affected by heatwaves and how this would change marine ecosystems.
Read more at The University of Hong Kong
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