The past, present and future of the Great Barrier ReefThe past, present and: integrating sedimentology and ecology via modelling and machine learning.

珊瑚礁是海洋生物多样性的热点，占世界海洋表面的0.1%，却拥有38%的海洋物种。世界各地的珊瑚礁目前正受到许多因素的破坏。它们将如何应对预测的气候和人为变化？我们可以利用地质和生物知识，如岩心和生态随时间的变化，来预测未来。该项目将建立一个珊瑚礁动态的数值模型，并利用最先进的技术将沉积学和生物学数据结合起来。反过来，这将能够更准确地预测未来气候和人为变化对珊瑚礁动态的影响。该模型将以Carst模型的当前原型为基础。

Coral reefs are the marine biodiversity hotspots, occupying 0.1% of the world's ocean surface but hosting 38% of marine species. Reefs around the world are currently being destroyed by a number of factors. How will they react to predicted climate and anthropogenic change? We can use geological and biological knowledge, such as rock cores and changes in ecology through time, to predict the future. This project will create a numerical model of reef dynamics and incorporate both sedimentological and biological data using state-of-the-art technology. In turn, this will enable more accurate predictions of the impacts of future climate and anthropogenic change on reef dynamics. The model will be based on the current prototype of the Carst model.