Modeling Regional Paleovegetation of the Holocene in EasternUnited States: Upper Great Lakes

摘要ATM-9709633 Sugita，Shinya University of Minnesota题目：模拟美国东部全新世的区域古植被;上五大湖 上五大湖的气候和植被不仅受到大陆尺度气团运动的影响，而且还受到上级、密歇根湖和休伦湖等基底和区域自然地理特征的影响。 在晚冰期和全新世早期，大陆冰盖的退缩和随后的均衡反弹极大地改变了五大湖和阿加西湖的大小和形状，这无疑影响了区域气候。 草原森林边界位置的变化可能对区域气候产生进一步的反馈影响。 该奖项支持对上大湖地区全新世气候/植被相互作用的研究，以及区域气候模型（RegCM 2）和植物群/植被模型的准备，作为对当前和11 k、6 k和3 k校准年份的模拟。花粉传播/沉积模型将把植被模型预测的区域植被与湖泊中的花粉组合联系起来，这可以与区域数据库中观察到的花粉化石进行比较。 通过这种模式/数据比较，将评估耦合区域气候和植被模式的模拟的有效性。 在五大湖上游地区，高质量的、年代久远的花粉记录的密度现在非常高，与地球仪的大多数其他地区相比，可以进行更详细的空间模型/数据比较。

Abstract ATM-9709633 Sugita, Shinya University of Minnesota Title: Modeling Regional Paleovegetation of the Holocene in Eastern United States; Upper Great Lakes Climate and vegetation in the Upper Great Lakes region have been influenced not only by continental-scale movement of air masses but also by substrate and regional physiographical features such as Lakes Superior, Michigan and Huron. Retreat of the continental ice sheet and subsequent isostatic rebound dramatically altered sizes and shapes of the Great Lakes and Lake Agassiz during the late- glacial and early Holocene, which undoubtedly affected the regional climate. Shifts in the location of the prairie-forest border are likely to have had further feedback effects on the regional climate. This award supports an examination of Holocene climate/vegetation interactions in the Upper Great Lake region, and the preparation of regional models of climate (RegCM2) and flora/vegetation models as simulations of the present and of 11 k, 6 k and 3 k calibrated yrs. A pollen dispersal/deposition model, will link regional vegetation predicted by the vegetation models to pollen assemblages in lakes, which can be compared with observed fossil pollen from the regional database. Through this model/data comparison, the effectiveness of simulations which couple regional climate and vegetation models will be evaluated. The density of good-quality, well-dated pollen records in the Upper Great Lakes region is now extremely high, allowing a more spatially detailed model/data comparison than would be possible in most other regions of the globe.