Climate dynamics and extreme precipitation and flood events in Central Europe

Past changes and possible future variations in the nature of extreme precipitation and flood events in Central Europe and the Alpine region are examined from a physical standpoint. An overview is given of the following key contributory physical processes: (1) the variability of the large-scale atmospheric flow and the associated changes of the North-Atlantic storm track; (2) the feedback process between climate warming and the water cycle, and in particular the potential for more frequent heavy precipitation events; and (3) the catchment-scale hydrological processes associated with variations in major river flooding events and that are related to land-use changes, river training measures, and shifts in the proportion of rain to snowfall. In this context an account is provided of the possible future forecasting and warning methodologies based upon high-resolution weather prediction and runoff models. Also consideration is given to the detectability of past (future) changes in observed (modeled) extreme events. It is shown that their rarity and natural fluctuation largely impedes a detection of systematic variations. These effects restrict trend analysis of such events to return periods of below a few months. An illustration using daily precipitation from the Swiss Alps does yield evidence for pronounced trends of intense precipitation events (return period 30 days), while trends of stronger event classes are not detectable (but nevertheless can not be excluded). The small detection probability for extreme events limits possible mitigation of future damage costs through an abatement of climate change alone, and points to the desirability of developing improved early forecasting/warning systems as an additional no-regret strategy. This revised version was published online in July 2006 with corrections to the Cover Date.     

基于TM与MODIS遥感数据的农业旱情监测——以河北省为例

以河北省冬小麦种植区域为研究区,基于TM和MOD IS遥感数据,利用植被供水指数法确定了研究区旱情等级。首先,将其与遥感解译获得的冬小麦空间分布图叠加得到受灾冬小麦空间分布图;然后以1 km的距离在受灾冬小麦周围做缓冲区,并与通过人口密度模型获得的人口密度空间分布图叠加,得出受灾人口空间分布;最后基于光能利用率改进模型构建粮食产量回归统计模型,得到粮食产量。目的是从粮食产量和作物受灾影响人口两个方面对农业受干旱影响情况进行遥感监测和定量评价,以期为相关部门制定防灾、抗灾措施提供科学依据。结果表明,2004年研究区:(1)春季受灾面积小,仅占16.4%;(2)旱情较轻,以轻旱为主,占受灾面积的89%;(3)冬小麦种植面积约为23 965.0 km2,受灾面积约606.3 km2,主要位于唐山市和保定市;(4)粮食产量回归统计模型精度达到了87%,冬小麦产量约为11939247 t,单产约为498.8 t/km2。     

青海湖几种主要湿地植物的种群分布格局及动态

应用种群生态空间分布的分析方法,研究了青海湖四种主要湿地植物：杉叶藻（Hippuris vulgaris)、槽杆荸荠（Eleocharis valleculosa)、华扁穗莞（Blysmus sinocompresus)、碱蓬（Suaeda glauca)的空间分布格局及其动态,研究表明：杉叶藻、槽杆荸荠、华扁穗莞三种群由侵入期、定期初期到种群发育盛期的过程中,其集群程度先增大后减小,总体呈扩散的趋势;碱蓬种群,从幼苗到繁殖期,集群程度增大,呈聚集的趋势,说明前三种植物的克隆繁殖方式于滨湖湿地生境具有更好的生态适应性,图2表3参11     

桫椤群落内主要乔木种群的种间联结性

在相邻格子抽样调查的基础上,采用X^2检验、联结系数（Ac)和种间共出现百分率（Pc)等指标,分析了福建省永定桫椤群落内主要乔木种群的种间联结性。结果表明：除少数种对外,绝大多数种群间的联结性不显著,在联结性显著的种对中,下述7个种对之间有较高的正联结性：朴树－野鸦椿、青冈－黄瑞木、青冈－油柿、翻白叶树－拉氏栲、黄瑞木－油柿、 青冈－香叶树和Song木－盐肤木,就桫椤群落而言,桫椤与猴欢喜、水团花之间有一定的正联结,与广东润楠、黄瑞木、柳叶山 茶、朴树和野鸦椿有较紧密的负联结。图3参11     

木根麦冬的种群数量动态

运用静态生命表、生殖力表和Leslie矩阵模型,研究了木根麦冬种群数量动态过程,揭示了种群各龄级植株的动态规律,结果表明,木根麦冬种群为衰退型种群,种群的净增殖率、内禀增长率和周限增长率较低,种群世代周期偏长,种群不能自我更新,在20a内种群幼苗数量和总数量将持续快速下降,木根麦冬种群在16-20a年龄段受到了环境筛的强烈过滤作用。     

Effect of the allelochemicals from the macrophyte Egeria densa on the competitive interactions of pelagic and littoral cladocerans

Macrophytes release allelochemicals, which affect pelagic cladocerans such as Daphnia. Using population growth experiments, we analysed the effects of allelochemicals from the macrophyte Egeria densa on the interaction between Daphnia mendotae and three littoral cladocerans (Diaphanosoma birgei, Macrothrix triserialis and Simocephalus mixtus). We found that allelochemicals from E. densa increased the abundance of all the tested cladocerans in spite of the presence of a competitor. This effect was stronger (nearly three to four times higher than in controls) for D. birgei and M. triserialis in the absence of D. mendotae. Independent of the presence of allelochemicals, S. mixtus, but not D. birgei and M. triserialis, reduced the abundance of D. mendotae as compared to controls. The rate of population increase (r) per day was significantly elevated due to the presence of Egeria’s allelochemicals (from 0.07–0.16?d^?1 without allelochemicals against 0.12–0.24?d^?1 with allelochemicals). In our competition experiments, the rates of population increase of the cladocerans were lower than those in single-species cultures when cultured in the absence of allelochemicals. However, in the presence of allelochemicals this trend was not consistent. Thus, the positive effects of Egeria’s allelochemicals over the cladoceran populations may enhance the grazing pressure on phytoplankton.     

政府主导、人口流动与城乡收入差距

中国经济增长具有典型的政府主导特征,通过构造一个包含城镇和农村经济产出的社会福利函数来分析政府主导型经济增长对城乡收入差距的影响关系,并基于中国城镇化发展实际分析了人口流动对城乡收入差距的影响,在此基础上提出研究假说,统计中国1997—2014年省际面板数据,采用泰尔指数测度城乡收入差距并分别进行静态和动态回归分析与检验。静态研究发现政府主导和人口流动显著地拉大了城乡收入差距,但是二者的交互项对城乡收入差距的确具有收敛效应,即随着人口流动的增加,政府主导对城乡收入差距的边际贡献会降低,同样随着政府主导的提升也会降低人口流动对城乡收入差距的边际贡献,这种影响关系在分区域的回归中依然成立,并通过了稳健性检验;动态研究发现全国和分区域中城乡收入差距的变动存在显著的正向路径依赖特征,全国层面政府主导显著地拉大了城乡收入差距,而人口流动及其与政府主导的交互项则显著地缩小了城乡收入差距,但分区域来看政府主导和人口流动对城乡收入差距的影响存在显著的区域异质性,并通过了稳健性检验。因此缩小城乡收入差距不应设置单一的政策目标,需要建立多方面的政策配套体系,逐步矫正政府主导型经济中造成的政府职能异化,精准识别地方财政收支量的规模和结构条件,扩大涉农业务投资的规模,激活农村经济发展活力;在城乡户籍制度改革中进一步打破城乡分割藩篱,大力发展非农产业,增加农民的非农就业机会,促进农民的非农化就业和城镇化迁移,提升城镇化发展质量;最终通过一系列的配套性制度安排,旨在加强支持农业发展和农村建设,促进农民收入增长的制度供给,实现城乡共享发展。     

安徽省省内人口流动空间选择研究

安徽省省内流动人口空间选择主要体现为省会优先、邻近区域优先和高工资区域优先的特征。省内形成以首府合肥为第一层次,以芜湖和淮南为第二层次,以蚌埠、淮北、安庆、马鞍山和铜陵为第三层次,其余城市为第四层次的空间选择格局。合肥是省内人口流入最大的辐合场,淮南、芜湖是次级辐合场,淮北、淮南、六安、巢湖等城市是对流场,流入人口规模与流出人口规模大体相当。     

建立以人群健康为核心的国家污染防控体系——以“血铅事件”为例

环境健康事件的频发反映了我国污染防控体系的不足。以"血铅事件"为例,综述了我国铅污染管理状况,分析了我国铅环境健康防治现状,并提出了由生产排放达标为核心的国家污染防控体系向以人群健康为核心的国家污染防控体系转变的环境战略与政策管理措施。     

大渡河流域电站建设对保护鱼类的影响及对策措施研究

为弄清大渡河流域电站建设对虎嘉鱼等5种保护鱼类的影响情况,探索适宜的保护措施,在流域枯水和丰水期分别选择了电站建设上下游6个有代表性的断面采集水样,采用电感耦合等离子发射光谱法等方法测定了重金属元素等16个指标,用单因子和综合指数评价法对电站上下游水质进行了对比评价;采用实地调查的方法调查了5种保护鱼类在近10年间种群数量的变化趋势。结果表明：电站建设对水质综合影响指数在1．64—1．82之间,影响严重;5种保护鱼类种群数量近10年间急剧下降,目前已为未见或罕见。