Varve chronology and high-resolution vegetation and climate dynamics in central Japan during the last glacial (ca. 15-50 kyr BP) derived from the Lake Suigetsu sediment record

高分辨率植被和气候档案从季风E。亚洲仍然是罕见的，但有必要更好地了解过去和未来的环境动态在该地区，其中主机的30%的世界人口;评估植被在冰川间冰期气候变化的作用;和验证气候模型。精确和准确的绝对年表对所有这些目标至关重要。地球放射性碳年代的实际校准曲线是由树木年轮数据提供的，目前可以追溯到大约。12，500 cal. yr BP.我们建议的项目应该成为国际水月湖纹状沉积物项目（2006年7月开始）的重要组成部分，该项目对来自日本的73.5米连续沉积物岩心进行研究，覆盖了过去15万年（SG 06）。我们的主要目标是：（1）建立一个14 C定年方法极限的放射性碳校准模型（~ 50 kyr），使用显微镜纹计数（GFZ波茨坦）和广泛的14 C测年（由英国纽卡斯尔大学ORAU Oxford和RCL东基尔布莱德的合作伙伴提供）从每年层压的SG 06沉积物中回收的无水库影响的植物遗骸;（ii）对西太平洋季风气候进行定量重建。太平洋地区在CA。使用SG 06岩心（FU柏林）的高分辨率花粉/植被和硅藻记录，计算10，000 - 50，000 cal. yr BP。

High-resolution vegetation and climate archives from monsoonal E. Asia are still rare but necessary for better understanding of past and future environmental dynamics in the region, which hosts 30% of the world population; for evaluating the role of vegetation in glacial-interglacial climate variations; and for validating climate models. Precise and accurate absolute chronologies are essential for all these goals. The actual calibration curve for terrestrial radiocarbon dates is provided by tree ring data presently reaching back to ca. 12,500 cal. yr BP. Our proposed project should become an essential part of the international Lake Suigetsu Varved Sediment Project {started in July 2006) working on a 73.5-m continuous sediment core from Japan covering the last 150 kyr (SG06). Our main goals are (i) to establish a radiocarbon calibration model to the limit of 14C dating method (~ 50 kyr), using microscopic varve counting (GFZ Potsdam) and extensive 14C dating (provided by the cooperation partners from ORAU Oxford and RCL East Kilbride, University of Newcastle, UK) of plant remains free of reservoir effects recovered from annually laminated SG06 sediment; and (ii) to produce quantitative reconstruction of the monsoonal climate in the W. Pacific region during ca. 10,000-50,000 cal. yr BP using high-resolution pollen/vegetation and diatom records from the SG06 core (FU Berlin).