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Quantitative precipitation estimates for the northeastern Qinghai-Tibetan Plateau over the last 18,000 years

机译:在过去的18000年里,东北藏高原高原的定量降水估计

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Quantitative information regarding the long-term variability of precipitation and vegetation during the period covering both the Late Glacial and the Holocene on the Qinghai-Tibetan Plateau (QTP) is scarce. Herein, we provide new and numerical reconstructions for annual mean precipitation (PANN) and vegetation history over the last 18,000 years using high-resolution pollen data from Lakes Dalianhai and Qinghai on the northeastern QTP. Hitherto, five calibration techniques including weighted averaging, weighted average-partial least squares regression, modern analogue technique, locally weighted weighted averaging regression, and maximum likelihood were first employed to construct robust inference models and to produce reliable PANN estimates on the QTP. The biomization method was applied for reconstructing the vegetation dynamics. The study area was dominated by steppe and characterized with a highly variable, relatively dry climate at similar to 18,000-11,000 cal years B.P. PANN increased since the early Holocene, obtained a maximum at similar to 8000-3000 cal years B.P. with coniferous-temperate mixed forest as the dominant biome, and thereafter declined to present. The PANN reconstructions are broadly consistent with other proxy-based paleoclimatic records from the northeastern QTP and the northern region of monsoonal China. The possible mechanisms behind the precipitation changes may be tentatively attributed to the internal feedback processes of higher latitude (e.g., North Atlantic) and lower latitude (e.g., subtropical monsoon) competing climatic regimes, which are primarily modulated by solar energy output as the external driving force. These findings may provide important insights into understanding the future Asian precipitation dynamics under the projected global warming.
机译:关于覆盖晚期冰川和全新世的沉淀和植被长期变异性的定量信息,稀缺。在此,我们在过去18,000年中,在东北QTP上的高分辨率花粉数据,为年过去18,000年提供了新的和数值重建的每年平均降水(PANN)和植被史。迄今为止,五个校准技术,包括加权平均,加权平均值最小二乘回归,现代模拟技术,局部加权加权平均回归以及最大似然是用于构造坚固的推理模型,并在QTP上产生可靠的PANN估计。施加生物化方法以重建植被动态。该研究区由草原主导,并具有高度变化,相对干燥的气候,类似于18,000-11,000 Cal年B.P. PANN自全新世以来自上海早期增加,获得了最大值与8000-3000 Cal年B.P.用针叶酸洗的混合森林作为主要生物群系,此后拒绝存在。 PANN重建与来自东北QTP和季风北部地区的其他基于代理的古跨线记录综合化。后面的降水变化的可能机制可以试探性地归因于主要由太阳能输出调制为外部驱动更高纬度(例如,北大西洋)和较低的纬度(例如,亚热带季风)竞争气候状况,内部反馈过程力量。这些调查结果可以在预计的全球变暖下理解未来的亚洲降水动态的重要见解。

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    Chinese Acad Sci Inst Earth Environm State Key Lab Loess &

    Quaternary Geol Xian Peoples R China;

    Chinese Acad Sci Inst Earth Environm State Key Lab Loess &

    Quaternary Geol Xian Peoples R China;

    Chinese Acad Sci Inst Earth Environm State Key Lab Loess &

    Quaternary Geol Xian Peoples R China;

    Cent China Normal Univ Coll Urban &

    Environm Sci Wuhan Peoples R China;

    Nanjing Univ Sch Geog &

    Oceanog Sci Nanjing Jiangsu Peoples R China;

    Hebei Normal Univ Inst Nihewan Archaeol Shijiazhuang Peoples R China;

    Zhejiang Normal Univ Coll Chem &

    Life Sci Jinhua Peoples R China;

    Chinese Acad Sci Inst Earth Environm State Key Lab Loess &

    Quaternary Geol Xian Peoples R China;

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  • 正文语种 eng
  • 中图分类 生物分布与生物地理学;
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