Mutual Climatic Range Reconstructions of Late Quaternary Climates in Beringia

白令海峡晚第四纪气候的相互气候范围重建

• 批准号: 9612641
• 负责人: Scott Elias
• 金额: $ 16.63万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9612641&HistoricalAwards=false
• 关键词: Mutual; Climatic; Range; Reconstructions; Late

Abstract ATM-9612641 Elias, Scott Anderson, Katherine University of Colorado Title: Mutual Climatic Range Reconstructions of Late Quaternary Climates in Beringia The aim of this grant is to synthesize and quantify paleoclimate reconstructions on the basis of fossil insect data from Eastern Beringia (Alaska, the Yukon Territory) and the Bering Land Bridge using the Mutual Climate Range (MCR) method. The Quaternary insect fossil record is a source of proxy data that provides sensitive, accurate paleoclimatic reconstructions for terrestrial ecosystems. As with any single source of proxy data, fossil insect interpretations cannot provide the complete paleoenvironmental picture. This investigation will promote interdisciplinary cooperation by generating calibrated, quantitative paleotemperature data for fossil beetle assemblages that will be more readily comparable to the reconstructions based on the interpretation of other proxy data, such as pollen response surfaces and transfer functions. A principal objective of this investigation will be to establish the nature, timing and intensity of the major climatic transitions of the late Pleistocene. Secondly, this method will be applied in Eastern Beringia to calibrate existing data and provide seasonal temperature reconstructions.

科罗拉多州凯瑟琳大学ATM-9612641伊利亚斯，斯科特·安德森标题：共同气候范围重建贝林吉亚晚第四纪气候这项赠款的目的是利用共同气候范围方法，根据东贝林吉亚(阿拉斯加，育空地区)和白令大陆桥的昆虫化石数据，合成和量化古气候重建。第四纪昆虫化石记录是为陆地生态系统提供敏感、准确的古气候重建的替代数据来源。与任何单一的替代数据来源一样，昆虫化石的解释不能提供完整的古环境图景。这项研究将通过为甲虫化石组合生成校准的、定量的古温度数据来促进学科间的合作，这些数据将更容易与基于对其他替代数据的解释的重建相比较，例如花粉响应表面和传递函数。这项调查的一个主要目标将是确定晚更新世主要气候转变的性质、时间和强度。其次，该方法将应用于东Beringia，以校准现有的数据，并提供季节性温度重建。