华南桉树人工林芒萁层片的生态筛效应

芒萁是华南退化坡地上最具代表性的先锋种、优势种和关键种,能够快速形成密集的单优种层片结构。与传统阻碍更新的观点不同,野外观察发现芒萁层片内仍有少数物种能够成功定居,被认为具有生态筛效应。文章通过设置4种芒萁层片处理（芒萁层片完全剔除-UR;仅保留地上层-AF;仅保留根毯层-AR;芒萁层片全部保留-CK）,分别在不同处理下移植目标种幼苗并结合土壤性状,探究芒萁层片生态筛效应及其潜在机理。结果发现：1）桉林芒萁根毯层中土壤有机质、全氮、碱解氮、有效磷、速效钾、交换性钠、交换性钙、交换性镁和阳离子交换量均显著高于芒萁红壤层和裸地红壤;2）多数乔木种和草本种在芒萁根毯层保留时无法存活,仅荷木、桃金娘、梅叶冬青和野牡丹等目标种幼苗在保留芒萁根毯层处理（AR和CK）下能够存活与生长。这表明芒萁层片确实具有生态筛效应,且其关键在于根毯层的作用而并非土壤养分改善作用。理论上,芒萁层片（尤其是根毯层）与生态恢复的生物阈值突破密切相关,未来需要进一步解析芒萁根毯层的结构与功能。应用上,华南地区存在大量以芒萁为单优林下植物的人工林类型（如桉林等）,在进行结构优化与林分改造时需注意芒萁的生态筛效应。     

河南春季一次云降水过程的宏微观物理特征分析

云降水的宏微观物理特征的观测和研究,有助于建立典型的云降水多尺度结构模型,为确定科学的人工增雨催化方案提供重要依据。借助于雷达、卫星等多种遥感探测手段,结合飞机的云中观测,对2004年3月31日河南云降水观测外场试验区（31.5-35°N,111-114°E）的一次云降水过程实施了综合探测,综合分析了此次云降水过程的宏微观物理特征。此次云降水系统属于比较典型的低槽、冷锋活动所造成的一次小至中雨过程。根据GOES卫星云图和天气图可以看出,沿锋面云系的后部,有一槽线,它对试验区的降水起主要作用,地面冷锋位于云带的前沿。雷达PPI回波显示为一条窄而长的回波带,宽度较窄,强度不大;RHI显示回波高度不高,回波云顶高度平均在5-6km左右,除存在一些20-30dBz的回波团外,回波强度比较均匀,回波中存在明显的0℃层亮带。这次降水为锋上高积云（Ac）和其下部液水较为丰沛的层积云（Sc）结合而成,在Ac云的4340m（-4.8℃）和3670m（0℃）液态水含量出现高值,分别为0.072g/m^3和0.086g/m^3,在Sc云中的0℃附近液态水含量出现高值。降水形成前,云中粒子谱型主要为单峰型,粒子直径大部分在5-10μm之间变化,大粒子浓度很低,不到0.1个/cm^3,且呈不连续分布,随着云中微物理过程的发展和降水的形成,粒子谱型逐渐转为双峰或多峰型,粒子浓度明显增高,粒子直径逐渐增大。     

亚洲大陆主要活动块体的现今构造应力数值模拟

亚洲大陆晚新生代和现代构造变形以活动地块为主要特征,表现为在统一构造格局下不同地块间具有不同的运动方式和速度。为了研究这些具有不同运动学性质块体间的相互作用以及构造变形特征,基于亚洲大陆的总体构造格局构建了二维有限元模型。根据模拟结果,对比已知GPS数据、震源机制解以及地质调查数据等,定量分析了大陆内部主要活动地块构造应力场的分布特征,并探讨了影响亚洲大陆现今构造变形特征的主要因素。结果表明：在我国的西部陆块内,由于周边一系列近EW向弧形活动构造带的存在,导致其内部次级块体运动速率的衰减,从而进一步导致应力环境的变化,由青藏中部的挤压-拉张环境逐渐转变为塔里木、天山地区的完全挤压环境;在西伯利亚地块和印度板块的联合挤压作用下,华北地块上地壳的应力表现为较弱的挤压环境,而在该种应力环境下块体内部伸展构造的成因很可能与其深部的动力学环境有关;华南地块的运动方向与台湾造山带相反,从而形成一个秦岭-大别造山带以南的较强烈的挤压-拉张区;在印度-澳大利亚板块和菲律宾俯冲板块的联合挤压作用下,巽他地块作为华南地块和印支地块的逃逸窗口,表现出以婆罗洲、南海为中心近圆弧形的弱挤压区以及环绕挤压区外缘挤压-拉张区的应力分布特征。     

Electrical conductivity of K-feldspar at high temperature and high pressure

Electrical conductivity measurements on dry polycrystalline K-feldspar were performed at 1.0 to 3.0 GPa and 873 to 1,173 K with a multi-anvil high-pressure apparatus and the Solartron-1260 Impedance/Gain Phase Analyzer in the frequency range of 10^?1 to 10⁶ Hz. At each temperature the complex impedance displays a perfect semi-circular arc that represents the grain-interior conduction. Under the experimental conditions, electrical conductivity exponentially increases with increasing temperature and slightly decreases with increasing pressure; however, the effect of pressure on the conductivity is less pronounced than that of temperature. The activation enthalpy decreases slightly from 0.99 to 1.02 eV with increasing pressure, and the activation energy and activation volume for K-feldspar are 0.98 eV and 1.46?±?0.17 cm³/mol, respectively. According to these Arrhenius parameters, ionic conduction is proposed to be the dominant conduction mechanism in K-feldspar at high temperatures and pressures, and potassium ions are the charge carriers transporting by an interstitial mechanism. The diffusion coefficient of potassium at high temperatures was calculated from our conductivity data on K-feldspar using Nernst–Einstein equation, and the results were compared with the previous experimental results.     

龙门山冲断带的隆升和川西前陆盆地的沉降

通过龙门山区和川西前陆盆地岩石样品的裂变径迹和镜质体反射率的测定和计算机模拟得出：１）松潘－甘孜褶皱带１０Ｍａ以来至少隆升了３－４ｋｍ，隆升速率最低为０．３－０．４ｍｍ／ａ；（２）龙门山逆冲推覆构造带１０Ｍａ以来至少隆升了５－６ｋｍ，隆升速率最低为０．０１６－０．０３２ｍｍ／ａ；（４）川西前陆盆地６０Ｍａ以来降升１－２ｋｍ，降升速率为０．０２８－０．０５ｍｍ／ａ；（５）１０Ｍａ以来北川－映秀－小关     

海拉尔盆地贝尔凹陷铜体庙组-南屯组储层次生孔隙成因及意义

海拉尔盆地贝尔凹陷白垩系南屯组和铜体庙组凝灰质砂岩、凝灰质泥岩、沉凝灰岩和凝灰岩储层是该区主要产层。油气储集空间以次生孔隙为主。大量碱性矿物组合如柯绿泥石、钠板石、碳钠铝石、方沸石、绿磷石、铈褐帘石、铁绿泥石等的存在,证明发生了大规模碱性溶解和交代作用。晶屑、玻屑、长石和粘土等填隙物均发生不同程度的溶解现象。研究表明,次生孔隙是凝灰质储层大规模碱交代作用的结果,预示盆地深部存在油气储集空间并富集油气。     

长庆气田奥陶系风化壳气藏、气源研究

对10年来长庆气田奥陶系风化充气藏气源问题存在的不同观点（上古生界煤成气和奥陶系海相碳酸盐岩气何者为主）及相应的证据进行了总结和讨论,认为“奥陶系自生自储为主”的观点对地质和地球化学现象的解释存在疑问,包括用次要组分来判别混源天然气的主要来源,用不确切的端员气地球化学特征来计算混源比,对本溪组底部岩石的封盖性和下奥陶统碳酸盐岩的原始生烃潜力评价偏高,忽略了石炭系存在能够生成油型气的海相源岩。因此,长庆气田不能作为海相贫有机质的碳酸盐岩生成的大、中型油气田的实例。根据天然气及气源岩的地球化学特征,提出长庆气田奥陶系风化壳气藏气是以上古生界煤成气为主、石炭系海相源岩生成的油型气为辅的混合气。     

Attribution analysis for water yield service based on the geographical detector method: A case study of the Hengduan Mountain region

Ecosystem services, which include water yield services, have been incorporated into decision processes of regional land use planning and sustainable development. Spatial pattern characteristics and identification of factors that influence water yield are the basis for decision making. However, there are limited studies on the driving mechanisms that affect the spatial heterogeneity of ecosystem services. In this study, we used the Hengduan Mountain region in southwest China, with obvious spatial heterogeneity, as the research site. The water yield module in the In VEST software was used to simulate the spatial distribution of water yield. Also, quantitative attribution analysis was conducted for various geomorphological and climatic zones in the Hengduan Mountain region by using the geographical detector method. Influencing factors, such as climate, topography, soil, vegetation type, and land use type and pattern, were taken into consideration for this analysis. Four key findings were obtained. First, water yield spatial heterogeneity is influenced most by climate-related factors, where precipitation and evapotranspiration are the dominant factors. Second, the relative importance of each impact factor to the water yield heterogeneity differs significantly by geomorphological and climatic zones. In flat areas, the influence of evapotranspiration is higher than that of precipitation. As relief increases, the importance of precipitation increases and eventually, it becomes the most influential factor. Evapotranspiration is the most influential factor in a plateau climate zone, while in the mid-subtropical zone, precipitation is the main controlling factor. Third, land use type is also an important driving force in flat areas. Thus, more attention should be paid to urbanization and land use planning, which involves land use changes, to mitigate the impact on water yield spatial pattern. The fourth finding was that a risk detector showed that Primarosol and Anthropogenic soil areas, shrub areas, and areas with slope 5° and 25°–35° should be recognized as water yield important zones, while the corresponding elevation values are different among different geomorphological and climatic zones. Therefore, the spatial heterogeneity and influencing factors in different zones should be fully con-sidered while planning the maintenance and protection of water yield services in the Hengduan Mountain region.     

1982-2006年中国东部春季植被变化(英文)

Vegetation greenness is a key indicator of terrestrial vegetation activity. To under-stand the variation in vegetation activity in spring across eastern China (EC), we analysed the variation in the Normalised Difference Vegetation Index (NDVI) from April to May during 1982-2006. The regional mean NDVI across EC increased at the rate of 0.02/10yr (r2=0.28; p=0.024) prior to 1998; the increase ceased, and the NDVI dropped to a low level thereafter. However, the processes of variation in the NDVI were different from one region to another. In the North China Plain, a cultivated area, the NDVI increased (0.03/10yr; r2=0.52; p<0.001) from 1982 to 2006. In contrast, the NDVI decreased (-0.02/10yr; r2=0.24; p=0.014) consecu-tively from 1982 to 2006 in the Yangtze River and Pearl River deltas, two regions of rapid urbanisation. In the eastern region of the Inner Mongolian Plateau and the lower reaches of the Yangtze River in East China, the NDVI increased prior to 1998 and decreased thereafter. In the Hulun Buir area and the southern part of the Yangtze River Basin, the NDVI increased prior to 1998 and remained static thereafter. The NDVI in the grasslands and croplands in the semi-humid and semi-arid areas showed a significant positive correlation with precipitation, while the NDVI in the woodlands in the humid to semi-humid areas showed a significant positive correlation with temperature. As much as 60% of the variation in the NDVI was ex-plained by either precipitation or temperature.     

近46年辽宁省降水集中程度研究

利用辽宁省25个台站1960—2005年逐候的降水资料,运用降水集中度和集中期分别讨论了辽宁省降水时空分布特征和变化规律,同时对多水年和少水年的集中度进行了比较。结果表明降水集中度和集中期能够定量地表征降水量在时空场上的非均一性,降水集中度平均为0．655,最大为0．749,最小为0．509;集中期平均为40．953候,最大值为45．221候,最小值为37．697候。年降水集中度和汛期降水集中度均呈减小趋势,汛期降水集中度减小的趋势明显。降水集中度的EOF分析显示取前3个特征值对应的特征向量可解释70％以上的方差。第一特征向量表现为全省一致性,而第二特征向量表征为东南与西北地区的反相,第三特征向量表征为东部山区与西部和沿海地区的反相。多水年的降水集中度明显比少水年的偏大且多水年的降水集中度分布较少水年复杂。