Reading the past to predict future biodiversity: a deep-time perspective

解读过去以预测未来的生物多样性：深度视角

• 批准号: DP230100323
• 负责人: Prof Guang Shi
• 金额: $ 31.3万
• 依托单位: University of Wollongong
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100323
• 关键词: Reading; past; predict; future; biodiversity

The extent of human-moderated impact on ecosystems is rapidly increasing. To date, most current research in this field is based on short-term observations or experiments. By examining the characteristics of species and ecosystem response to climate change from a major geological Ice Age ~320-265 million years ago in eastern Australia, this study will investigate how marine species and ecological communities evolved in response to repeated glacial/interglacial cycles and associated warming/cooling climate changes. Expected findings will help to better understand the long-term links between global warming/cooling climate regimes, sea levels, changing sea-water temperature and chemistry, and species and ecosystem responses to these drivers.

对生态系统的人体调节影响的程度正在迅速增加。迄今为止，该领域的大多数研究基于短期观察或实验。通过检查物种的特征和生态系统对气候变化的反应，从主要地质冰河时代〜320-2.65亿年前在澳大利亚东部，这项研究将研究海洋物种和生态群落如何响应反复的冰川/冰川间循环周期以及相关的变暖/冷却气候变化而发展。预期的发现将有助于更好地了解全球变暖/冷却气候制度，海平面，海水温度和化学的变化以及对这些驱动因素的物种和生态系统的反应之间的长期联系。