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.     

矿业权市场的交易机制及运作模型

运用经济学和系统论的观点对矿业权市场的信息形成与传递、交易客体的价格形成的有关过程与机制进行了探讨,提出了矿业权市场的信息传递模式和探矿权、采矿权的价值构成模式,并对矿业权市场的运作模式进行了研究.     

气候变化和人类活动对伊逊河流域径流变化的影响

借助Mann-Kendall趋势检验和突变检验对气象水文序列进行一致性分析,划分基准期(1961—1979年)和影响期(①1980—1989年、②1990—1999年、③2000—2016年),利用基准期校准的可变下渗容量(VIC)模型,采用步进式方法,探究气候变化和人类活动对伊逊河流域径流变化的波动影响过程。结果表明:研究区近56年年均气温显著升高,年降水量无明显变化趋势,流域年径流量下降趋势明显,季节尺度上流域非汛期降水量增加显著。气候变化和人类活动均会对径流产生显著影响且作用机理复杂,步进式方法对影响机理的研究较传统方法更能体现其变化过程;在降水丰沛的影响②期,冬季降水量增加会显著增加流域径流量,而在降水略少的影响①期和③期,蒸发量增加以及土壤含水量降低使得流域径流减少;人类活动耗水在影响①期和③期引起流域径流减少并且影响作用逐渐增强,影响②期由于城镇化和耕地扩张使得流域产流能力增强导致径流增加。深入研究气候变化和人类活动对径流的影响机制,可为流域水资源管理和规划提供理论依据。     

The GANE Roof Project: The impact of reduced N & S deposition and experimental warming in an acid grassland

A field-based system used to quantify the response of acid grassland to reduced atmospheric nitrogen and sulphur deposition, and to investigate the effects of elevated soil temperature on acid grassland development is described. The system is based on 12 retractable roofs, covering undisturbed experimental plots of acid grassland and three controls. Nine roofs are used to exclude natural precipitation and three roofs used to retain emitted IR radiation at night. An irrigation system has been developed to simulate natural precipitation, allowing for the application of specific treatment regimes of ambient, reduced nitrogen and reduced nitrogen/sulphur deposition beneath the nine rain exclusion plots. Plant, soil parameters, leachate chemistry and gaseous fluxes are being monitored and initial results on soil water chemistry are described. Warming appeared to enhance nitrate concentrations in soil water but this was not sustained beyond the first year of treatment. In contrast, the deposition reduction treatments decreased soil water nitrate concentrations within a few weeks of reducing deposition. This was not observed for other solutes such as sulphate or ammonium suggesting a more direct link between deposition of nitrate and leaching losses.     

松辽流域生态流量赤字及其成因

水资源的过度开发导致了水短缺和水生态退化,因此,提供适宜的生态流量对维护河流健康具有重要意义.以往研究聚焦断面尺度的生态流量及其保障程度,尚未有效剥离上游子流域的影响.本研究以松辽流域为研究对象,运用VMF法、Tessmann-adapted法和Smakhtin-adapted法3种水文学法核算二级水资源区生态流量及1...     

Effects of site-selection bias on estimates of biodiversity change

Estimates of biodiversity change are essential for the management and conservation of ecosystems. Accurate estimates rely on selecting representative sites, but monitoring often focuses on sites of special interest. How such site-selection biases influence estimates of biodiversity change is largely unknown. Site-selection bias potentially occurs across four major sources of biodiversity data, decreasing in likelihood from citizen science, museums, national park monitoring, and academic research. We defined site-selection bias as a preference for sites that are either densely populated (i.e., abundance bias) or species rich (i.e., richness bias). We simulated biodiversity change in a virtual landscape and tracked the observed biodiversity at a sampled site. The site was selected either randomly or with a site-selection bias. We used a simple spatially resolved, individual-based model to predict the movement or dispersal of individuals in and out of the chosen sampling site. Site-selection bias exaggerated estimates of biodiversity loss in sites selected with a bias by on average 300–400% compared with randomly selected sites. Based on our simulations, site-selection bias resulted in positive trends being estimated as negative trends: richness increase was estimated as 0.1 in randomly selected sites, whereas sites selected with a bias showed a richness change of −0.1 to −0.2 on average. Thus, site-selection bias may falsely indicate decreases in biodiversity. We varied sampling design and characteristics of the species and found that site-selection biases were strongest in short time series, for small grains, organisms with low dispersal ability, large regional species pools, and strong spatial aggregation. Based on these findings, to minimize site-selection bias, we recommend use of systematic site-selection schemes; maximizing sampling area; calculating biodiversity measures cumulatively across plots; and use of biodiversity measures that are less sensitive to rare species, such as the effective number of species. Awareness of the potential impact of site-selection bias is needed for biodiversity monitoring, the design of new studies on biodiversity change, and the interpretation of existing data.     

区域土地利用变化对土壤磷含量的影响评价研究

研究土壤磷含量的时空演变规律对改善土地管理水平和提高土壤质量具有重要的指导作用。文章选取江苏省原锡山市作为研究区域,以1982年和2005年土壤全磷和速效磷含量作为研究对象,研究探讨土地利用变化对土壤磷含量的影响,进而表明人类活动对生态系统和环境的影响。通过统计分析表明,20年来原锡山市土壤全磷含量降低0.48g·kg-1,土壤速效磷含量升高26.16mg·kg-1。通过变异函数分析,20年来原锡山市全磷和速效磷的变异函数理论模型都是指数型,但块金方差与基台值的比值、自相关阀值发生了较大变化;Kriging插值分析结果表明,1982年全磷和速效磷的分布比较简单;2005年全磷分布较为简单,土壤速效磷分布较为复杂。Kriging插值分析还表明,20年来原锡山市土壤全磷含量降低,空间变异显著;土壤速效磷含量升高,空间变异显著。     

基于LUCC的艾比湖区域生态风险评价及预测研究

以新疆内陆艾比湖流域典型区域为研究区,基于RS和GIS技术分析1998、2013年土地利用变化,尝试用CA-Markov模型预测2028年土地利用/覆盖变化.借助Fragstats3.4软件,基于土地利用/覆盖变化构建景观生态风险评价模型,分析1998~2028年景观生态风险的时空分异特征.结果表明：（1）1998~2013年,研究区土地类型面积变化明显.耕地面积增加量最大,增加的面积为152139hm²,而未利用地面积减少量最大,减少的面积为67605hm².2013~2028年,耕地和裸露的河床及盐渍地的面积增加明显,增加的面积分别为30730hm²,12427hm²,而未利用地和水体的面积分别从954376hm²和44889hm²,减至921079hm²和37157hm².（2）1998~2028年,研究区生态风险等级空间分布差异明显.高生态风险区面积变化较为显著,其面积分别约占总面积的36.6%,7.3%,23.7%.1998~2028年,全局Moran's Ⅰ值分别为0.436962,0.442202,0.506622,表现为一定程度的正相关.（3）1998~2028年,耕地分布在低,较低生态风险的比重上升,所占百分比分别为58.46%,78.58%,79.9%.林、草地类型的各生态风险等级的所占的比重的波动较大.     

矿产资源型城市工业路径依赖综合诊断方法——基于改进的柯布-道格拉斯生产函数

将矿产资源和生态环境要素纳入常规的柯布-道格拉斯（C-D）生产函数，构建资源-环境-经济综合诊断方法，并应用于以煤炭经济为主的鄂尔多斯市.结果显示，2001~2015年该市综合产出弹性为0.8158，呈规模报酬递减趋势；全市工业路径依赖于2001~2007年处于综合边际收益（MR_KLME）上升过程，2008~2015年进入MR_KLME下降过程.工业增长的生态环境成本明显升高，对MR_KLME起到显著减降作用，导致MR_KLME曲线拐点较常规C-D函数法提前约2~4a.对此，建议加大生态环境保护与治理力度、实施煤炭资源开发总量和强度“双控”等路径依赖破解措施.该方法可纠正由于未考虑资源和环境效应所产生的诊断偏差，有助于更加合理、准确地诊断特定资源型城市工业发展路径依赖的演化特点，并可据此提出有针对性的破解对策.     

黑龙江省大气边界层不同高度风速变化

利用黑龙江省1961—2010 年哈尔滨、嫩江、齐齐哈尔、伊春4 个气象站探空和地面风速资料,分析了边界层内不同高度风速的气候学特征和时间变化趋势,获得以下结论:①黑龙江省边界层内不同高度年平均风速随高度增加而增大,10 m到300 m风速垂直递增率最大;风速在年内具有明显的季节性特征,各高度都是春季最大,近地面层冬季风速最小,其余高度夏季风速最小。②1961—2010 年,近地面10 m高度平均风速1970 年代最大,其后各年代风速逐渐减小,2000 年代风速最小;300、600、900 m高度,平均风速1980 年代最大,从1980 年代到2000 年代逐渐减小,300 m高度平均风速最小出现在1960 年代,600 m和900m最小出现在1970 年代。③1961—2010 年,近地面10 m高度平均风速呈明显减弱趋势,递减率为0.162 m/(s·10 a),递减趋势主要发生在1970 年代以后,但300、600 和900 m高度平均风速变化均不显著。④黑龙江省近地面风速变化趋势可能主要与观测环境改变和城市化等非自然因素影响有关,上层的风速变化则主要受大尺度大气环流变化的影响。