Kaitlyn Brown , Robyn P. Araujo , Paul Corry , Adrianne L. Jenner
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Coral bleaching dynamics on the Great Barrier Reef: New insights from a mathematical model
The ongoing climate crisis poses a significant threat to the future of worldwide coral reefs. Catastrophic incidences of declining reef health and mortality, driven by widespread coral bleaching have highlighted the need for an improved mechanistic understanding of bleaching dynamics to inform effective reef management. We developed a continuous-time state-space model of reef dynamics to capture coral populations at a community scale. Using a dynamical systems approach, we analysed the qualitative characteristics of the model and found evidence suggesting that intrinsic growth and bleaching-induced mortality may play a crucial role in determining a reef’s vulnerability and resilience to ongoing disturbances. The model was able to capture a range of observable phenomena when calibrated to empirical observations sampled from multiple sites spanning the Great Barrier Reef. Observed trends in the estimated parameters suggest correlations between several reef characteristics and the latitudinal positions of sample sites. Our results shed light on possible mechanisms driving resilience and robustness, and reveal new insight that has the potential to improve reef conservation and management. Despite the simplicity of the model, our analyses demonstrate its utility in inspiring future data collection and improving intervention efforts.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).