Vegetational and Climatic Histories of Central Alaska Duringthe Late Pleistocene

阿拉斯加中部更新世晚期的植被和气候历史

• 批准号: 8619214
• 负责人: Patricia Anderson
• 金额: $ 26.58万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-06-01 至 1991-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8619214&HistoricalAwards=false
• 关键词: Vegetational; Climatic; Histories; Central; Alaska

This research seeks to 1) describe the vegetational history of central Alaska between 14,000 and 125,000 yr B.P.; 2) reconstruct past climate during this period based on palynological and geological data; and 3) compare these paleoclimatic reconstructions with a regional model of Alaska climate based on computer simulations of global climate. The vegatation history will be described from new palynological data coupled with results of previous paleoenvironmental studies. Response surface analyses and autoecological requirements of indicator species will be used to infer past climate from the pollen records. Global simulations, run with various combinations of boundary controls, will form the basis for modeling regional paleoclimates for Alaska. Data-model comparisons will be done to assess the correspondence between simulations and paleoclimatic records in Alaska. The results of this project will significantly expand the understanding of environmental change at high latitudes during the late Pleistocene and will provide a rare opportunity to examine data- model comparisons over a long period of time. Such an examination is essential for evaluating the ability to predict responses of climatic and terrestrial systems to future variations in boundary controls.

这项研究试图1)描述阿拉斯加中部在公元前14000年到125000年之间的植被历史；2)根据孢粉和地质资料重建这一时期的气候；3)将这些古气候重建与基于全球气候计算机模拟的阿拉斯加区域气候模型进行比较。植被的历史将根据新的孢粉学资料和以往的古环境研究结果来描述。响应面分析和指示物种的自身生态需求将用于从花粉记录中推断过去的气候。采用各种边界控制组合进行的全球模拟，将构成为阿拉斯加区域古气候建模的基础。将进行数据模型比较，以评估模拟与阿拉斯加古气候记录之间的对应关系。该项目的结果将大大扩展对晚更新世期间高纬度地区环境变化的理解，并将提供一个难得的机会来检查长时间内的数据模型比较。这种审查对于评估预测气候和陆地系统对未来边界控制变化的反应的能力是必不可少的。