This paper provides a review of paleoclimate modeling activities in China. Rather than attempt to cover all topics, we have chosen a few climatic intervals and events judged to be particularly informative to the inter...This paper provides a review of paleoclimate modeling activities in China. Rather than attempt to cover all topics, we have chosen a few climatic intervals and events judged to be particularly informative to the international community. In historical climate simulations, changes in solar radiation and volcanic activity explain most parts of reconstructions over the last millennium prior to the industrial era, while atmospheric greenhouse gas concentrations play the most important role in the20 th century warming over China. There is a considerable model–data mismatch in the annual and boreal winter temperature change over China during the mid-Holocene [6000 years before present（ka BP）], while coupled models with an interactive ocean generally perform better than atmospheric models. For the Last Glacial Maximum（21 ka BP）, climate models successfully reproduce the surface cooling trend over China but fail to reproduce its magnitude, with a better performance for coupled models. At that time, reconstructed vegetation and western Pacific sea surface temperatures could have significantly affected the East Asian climate, and environmental conditions on the Qinghai–Tibetan Plateau were most likely very different to the present day. During the late Marine Isotope Stage 3（30–40 ka BP）, orbital forcing and Northern Hemisphere glaciation, as well as vegetation change in China, were likely responsible for East Asian climate change. On the tectonic scale,the Qinghai–Tibetan Plateau uplift, the Tethys Sea retreat, and the South China Sea expansion played important roles in the formation of the East Asian monsoon-dominant environment pattern during the late Cenozoic.展开更多
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB03020602)supported by the Key Directional Program of the Knowledge-innovation Project of the Chinese Academy of Sciences (Grant No. KZCX2–YW–338– 2)+2 种基金supported by the National Basic Research Program of China (Grant No. 2007CB815901)supported by the National Basic Research Program of China (Grant No. 2010CB950102)supported by the National Natural Science Foundation of China (Grant No. 40875043)
文摘This paper provides a review of paleoclimate modeling activities in China. Rather than attempt to cover all topics, we have chosen a few climatic intervals and events judged to be particularly informative to the international community. In historical climate simulations, changes in solar radiation and volcanic activity explain most parts of reconstructions over the last millennium prior to the industrial era, while atmospheric greenhouse gas concentrations play the most important role in the20 th century warming over China. There is a considerable model–data mismatch in the annual and boreal winter temperature change over China during the mid-Holocene [6000 years before present（ka BP）], while coupled models with an interactive ocean generally perform better than atmospheric models. For the Last Glacial Maximum（21 ka BP）, climate models successfully reproduce the surface cooling trend over China but fail to reproduce its magnitude, with a better performance for coupled models. At that time, reconstructed vegetation and western Pacific sea surface temperatures could have significantly affected the East Asian climate, and environmental conditions on the Qinghai–Tibetan Plateau were most likely very different to the present day. During the late Marine Isotope Stage 3（30–40 ka BP）, orbital forcing and Northern Hemisphere glaciation, as well as vegetation change in China, were likely responsible for East Asian climate change. On the tectonic scale,the Qinghai–Tibetan Plateau uplift, the Tethys Sea retreat, and the South China Sea expansion played important roles in the formation of the East Asian monsoon-dominant environment pattern during the late Cenozoic.
文摘目的:探讨卒中后认知障碍(post stroke cognitive impairment,PSCI)患者粪便钙卫蛋白(fecal calprotectin,FC)水平及其与认知状态和血清炎性因子的相关性。方法:收集2021年3月至2022年3月就诊的PSCI患者32例、卒中后无认知障碍(post stroke with no cognitive impairment,PSNCI)患者44例和无卒中对照者25例,检测并对比3组中FC水平以及PSCI组治疗前后的FC水平。对PSCI组进行简易智力状态检查量表(mini-mental state examination,MMSE)和蒙特利尔认知评估量表(Montreal cognitive assessment,MoCA)评估,并检测血清C-反应蛋白(CRP)和白介素-6(IL-6)的水平。结果:PSCI组、PSNCI组和对照组的年龄、性别、吸烟史、饮酒史未见明显差异,高血压史和糖尿病史在3组间存在显著差异(P<0.05),PSCI组FC水平显著高于PSNCI组和对照组(P<0.01)。对PSCI患者改善认知治疗1个月后,PSCI患者FC水平较治疗前显著降低(P<0.01)。在PSCI组中,FC水平与MoCA评分和MMSE评分呈负相关(P<0.01),与血清CRP水平和血清IL-6水平呈正相关(P<0.01)。结论:PSCI患者FC水平升高,与PSCI患者的认知功能和血清炎性因子具有相关性,在PSCI的发生机制中发挥重要作用。
