甘青地区新石器-青铜时代居民颅面部形态变异及其在人群形成上的意义

通过对考古遗址出土古代居民遗骸的研究来探寻人群形成、适应、迁徙、融合历史是生物人类学研究的重要内容。甘青地区地处我国西北,位于新疆与中原之间,是人群迁徙与交流的关键地区。以往研究发现该地区新石器-青铜时代居民具有的一些独特的头面部特征,如具有偏狭的中颅型、高颅结合狭颅、中等偏狭的面宽、高而狭的面型、中等的面部扁平度、中眶型、狭鼻型和正颌型。一些学者就来自周边地区人群迁徙或基因交流对甘青地区古代人群形成的影响做过探讨。由于迄今开展的相关研究及掌握的数据资料有限,学术界对甘青地区古代人群内部的变异情况、时代变化及其与周边地区人群的差异程度还缺乏深入的了解,对新石器时代以来甘青地区人群的形成过程以及与东、西方人群的关系还不是很清楚。本文通过对243例甘青地区新石器-青铜时代人群颅骨测量数据的统计和分析,结合相关考古学和古环境学资料,对该地区古代居民颅面部形态特征的总体表现特点、时代变化、内部变异及与周边地区人群的关系进行了探讨,发现：1）从整体颅面部特征上看,甘青地区新石器-青铜时代人群介于典型西方人群与中原人群之间,但与中原人群更为接近;2）甘青地区新石器-青铜时代人群颅骨测量特征呈现一定的时代变化。从新石器时代到青铜时代,颅型趋向圆颅和阔颅化、面型趋狭、鼻型趋狭、眶型趋高;齿槽部的突颌水平变小;3）甘青地区古代人群颅面部测量特征的内部变异程度介于新疆与中原人群之间。从新石器时代到青铜时代,甘青地区人群颅面部测量特征的内部变异呈减小趋势;4）从新石器时代到青铜时代,甘青地区古代人群部分颅面部测量特征呈现出与西方人群接近的趋势。基于本文的分析,认为气候环境、生业方式以及人群之间的基因交流共同造成了甘青地区古代人群颅面部形态特征的变化,甘青地区古代人群形成以受到中原人群影响为主。

     

Issues of Spatial and Temporal Variability in Climate Impact Studies

The accuracy of impact estimates relating climate change to regional-scale agricultural production is constrained by the temporal and spatial resolution of climate change projections. Several techniques have been used to compensate for these limitations in order to provide reasonable estimates of the impact of climate change on crop yield. One approach assumes that variability over time can substitute for spatial variability, thereby reducing the need to estimate the impacts at a spatially dense network of stations—an assumption that has not been generally tested. This study evaluates this assumption using methods similar to those employed in the climate impact literature. The findings suggest that current practices are generally defensible if the goal is to provide a range of possible crop responses to climate change. However, the results also show that the assumption is highly sensitive to specific interactions at the soil-plant-atmosphere interface and, consequently, does not hold under certain circumstances.     

基于地质记录用时域组合模型预测气候变化趋势的初步研究

用时域分析组合模型建立了１００万年来６０°Ｎ６月份太阳辐射量时间序列、宝鸡黄土粒度时间序列、渭南夏季风指数时间序列的动态模型．研究结果表明,时域分析组合模型较好地提取了时间序列的信息,得到的几个显著周期Ｔ＝１３３,１００,８９,４１,２３,１９ｋａ,与地球轨道三要素的变化周期接近．用组合模型拟合实测数据,精度是高的;用其预测未来气候替代性指标时间序列的变化情况,发现未来气候有向干冷方向发展的趋势．时域分析组合模型为研究气候变化趋势提供了一种定量分析、预测的方法．     

RESPONSES OF A GLOBAL CGCM TO CO2 INCREASE

The responses of the climate system to increase of atmospheric carbon dioxide(CO₂)arestudied by using a new version of the Bureau of Meteorological Research Centre(BMRC)globalcoupled general circulation model(CGCM).Two simulations are run:one with atmospheric CO₂concentration held constant at 330 ppm,the other with a tripling of atmospheric CO₂(990 ppm).Results from the 41-year control coupled integration are applied to analyze the mean state,seasonal cycle and interannual variability in the model.Comparisons between the greenhouseexperiment and the control experiment then provide estimations of the influence of increased CO₂on climate changes and climate variability.Especially discussed is the question on whether theclimate changes concerned with CO₂ inerease will impact interannual variability in tropical Pacific,such as ENSO.     

浙江省年平均气温百年序列的构建

长时间气温序列是气候变化研究的基础,早期气温观测台站的缺乏在某种程度上限制了区域性气温长序列的建立。将局部台站的气温观测值向代表全区水平的气温观测值转化,亦是一种有效利用早期少数气温站点构建区域性气温长序列的重要途径。基于浙江省气温观测台站资料的统计分析,提出了局部台站观测值全局修正（GAoSV）的气温长序列建立方式,并利用该方式构建了浙江省年平均气温百年序列。研究结果表明：省级区域内气温局部台站观测与全区台站观测,两者的气温年值变化具有高度的趋同相关性,所提出的GAoSV气温序列构建方式可在少数气温观测台站的情况下,有效保证全区气温序列的构建可信度,且随着观测台站数量增多,其构建可信度会进一步增大,该方式尤其适合早期气温观测台站稀缺（仅有1～2个）的省市级气温长序列的建立。以GAoSV方式建立的浙江省年平均气温百年序列显示,1905-2012年浙江省年平均气温总体在逐渐升高,增温速率约为0．11℃／10a,1980-2012年期间气温的上升趋势更为明显,增温速率约为0．51℃／10a。     

青岛市短时强降水的气候特征和天气系统分型

利用1981—2012年4—10月青岛市7个观测站逐时降水量资料和同期NCEP再分析资料,统计分析青岛市短时强降水的时空分布特征,建立青岛市短时强降水天气概念模型。结果表明：青岛市年短时强降水日数无明显变化趋势;4—10月均有短时强降水出现,7—8月是多发月份;短时强降水的日变化有2个多发时段,主峰在下午到傍晚时段,次峰在凌晨时段;即墨、平度、黄岛为青岛市短时强降水的多发区域,其中黄岛为连续性短时强降水出现最多的区域;青岛市产生短时强降水的天气系统可分为六种类型,西风槽型、横槽型、冷涡型、热带低值系统型、西北气流型、切变线型,其中西风槽型出现次数最多。     

A comparative study of geothermal and meteorological records of climate change in Kamchatka

To reconstruct the recent climate history in Kamchatka, a series of repeated precise temperature logs were performed in a number of boreholes located in a broad east-west strip (between 52 and 54°N) in the central part of Kamchatka west of Petropavlovsk-Kamchatski. Within three years more than 30 temperature logs were performed in 10 holes (one up to six logs per hole) to the depth of up to 400 metres. Measured temperature gradients varied in a broad interval 0 to 60 mK/m and in some holes a sizeable variation in the subsurface temperatures due to advective heat transport by underground water was observed. Measured data were compared with older temperature profiles obtained in the early eighties by Sugrobov and Yanovsky (1993). Even when older data are of poorer precision (accuracy of about 0.1 K), they presented valuable information of the subsurface temperature conditions existing 20–25 years ago. Borehole observations and the inverted ground surface temperature histories (GSTHs) used for the paleoclimate reconstruction were complemented with a detailed survey of meteorological data. Namely, the long-term surface air temperature (SAT) and precipitation records from Petropavlovsk station (in operation since 1890) were used together with similar data from a number of local subsidiary meteo-stations operating in Central Kamchatka since 1950. Regardless of extreme complexity of the local meteorological/climate conditions, diversity of borehole sites and calibration of measuring devices used during the whole campaign, the results of the climate reconstruction supported a general warming of about 1 K characteristic for the 20th century, which followed an inexpressive cooler period typical for the most of the 19th century. In the last three to four decades the warming rate has been locally increasing up to 0.02 K/year. It was also shown that the snow cover played a dominant role in the penetration of the climate “signal” to depth and could considerably smooth down the subsurface response to the changes occurred on the surface.     

Living with limits: growth,resources, and climate change

Is it possible for all of humanity to enjoy the standards of living of today's high-income countries? What would happen if these limits were reached, perhaps because of climate change or a shortage of natural resources essential to production? How would society manage – or fail to manage – such limits? Notwithstanding the current financial and economic crises, these are perhaps the biggest questions confronting our species (and of a host of other species, who are the victims of our decisions). The article begins by considering the biggest economic event of our lifetimes – the ‘great convergence’ and its implications for the demand for resources. The discussion then turns to a specific limit on our development, climate change, which is different from most other limits, because it involves a global public good: the atmosphere. What such limits might mean for our civilization is discussed. One can persuade people to tackle climate change only if those concerned with the dangers persuade ordinary people that action will not come at the expense of their prosperity.     

塔里木河流域适应气候变化和人类活动的应对措施

自2001年开始实施塔里木河流域近期综合治理工程,提出了以强化流域水资源统一管理和调度为核心,以源流区节水改造和干流河道治理为重点进行综合治理,积极稳妥地进行经济结构调整,实施退耕封育保护,有效保护好现有天然林草植被.通过向塔里木河下游生态输水,干涸近30a的台特玛湖于2001年11月16日开始有水,使塔里木河下游绿色走廊得到初步复苏等,流域生态环境得到极大的恢复.然而,自2007年以来,塔里木河向下游输水已大为减少,仅能输水到中游,特别是2009年水文干旱,塔里木河干流断流达1 100km多,使下游绿色走廊再度陷入生态危机.为此,需要重新审视塔里木河流域的综合治理,从加强源流治理开始,来巩固干流治理成果.认真总结10a来治理经验与教训,针对人类活动和气候变化对源流与干流造成的影响程度,积极采取应对措施.     

It starts at home? Climate policies targeting household consumption and behavioral decisions are key to low-carbon futures

Through their consumption behavior, households are responsible for 72% of global greenhouse gas emissions. Thus, they are key actors in reaching the 1.5 °C goal under the Paris Agreement. However, the possible contribution and position of households in climate policies is neither well understood, nor do households receive sufficiently high priority in current climate policy strategies. This paper investigates how behavioral change can achieve a substantial reduction in greenhouse gas emissions in European high-income countries. It uses theoretical thinking and some core results from the HOPE research project, which investigated household preferences for reducing emissions in four European cities in France, Germany, Norway and Sweden. The paper makes five major points: First, car and plane mobility, meat and dairy consumption, as well as heating are the most dominant components of household footprints. Second, household living situations (demographics, size of home) greatly influence the household potential to reduce their footprint, even more than country or city location. Third, household decisions can be sequential and temporally dynamic, shifting through different phases such as childhood, adulthood, and illness. Fourth, short term voluntary efforts will not be sufficient by themselves to reach the drastic reductions needed to achieve the 1.5 °C goal; instead, households need a regulatory framework supporting their behavioral changes. Fifth, there is a mismatch between the roles and responsibilities conveyed by current climate policies and household perceptions of responsibility. We then conclude with further recommendations for research and policy.