Coral bleaching dynamics on the Great Barrier Reef: New insights from a mathematical model

IF 3.2 3区 环境科学与生态学 Q2 ECOLOGY
Kaitlyn Brown , Robyn P. Araujo , Paul Corry , Adrianne L. Jenner
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引用次数: 0

Abstract

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.
大堡礁上的珊瑚白化动态:从数学模型中获得的新见解
持续的气候危机对全球珊瑚礁的未来构成了重大威胁。广泛的珊瑚白化导致的珊瑚礁健康和死亡率下降的灾难性事件突出表明,需要改进对白化动态的机制理解,以便为有效的珊瑚礁管理提供信息。我们开发了珊瑚礁动态的连续时间状态-空间模型,以捕获群落尺度上的珊瑚种群。使用动力系统方法,我们分析了模型的定性特征,并发现证据表明,内在生长和白化引起的死亡率可能在决定珊瑚礁对持续干扰的脆弱性和恢复力方面发挥关键作用。该模型能够捕捉到一系列可观察到的现象,当校准到从大堡礁多个地点采样的经验观察结果时。在估计参数中观察到的趋势表明,几个珊瑚礁特征与样品地点的纬度位置之间存在相关性。我们的研究结果揭示了推动恢复力和稳健性的可能机制,并揭示了有可能改善珊瑚礁保护和管理的新见解。尽管模型简单,但我们的分析证明了它在启发未来数据收集和改进干预工作方面的实用性。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
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/).
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