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.

人类活动对生态系统的影响程度正在迅速增加。到目前为止，这一领域的大多数研究都是基于短期观察或实验。通过研究3.2亿-2.65亿年前澳大利亚东部主要地质冰期以来物种和生态系统对气候变化的响应特征，这项研究将调查海洋物种和生态群落如何随着反复的冰川/间冰期周期和相关的变暖/变冷气候变化而演变。预期的发现将有助于更好地理解全球变暖/降温气候制度、海平面、不断变化的海水温度和化学物质以及物种和生态系统对这些驱动因素的反应之间的长期联系。