Negative effects of nitrogen deposition on Swiss butterflies

Nitrogen (N) deposition from agriculture and combustion of fossil fuels is a major threat to plant diversity, but its effects on organisms at higher trophic levels are unclear. We investigated how N deposition may affect species richness and abundance (number of individuals per species) in butterflies. We reviewed the peer-reviewed literature on variables used to explain spatial variation in butterfly species richness and found that vegetation variables appeared to be as important as climate and habitat variables in explaining butterfly species richness. It thus seemed likely that increased N deposition could indirectly affect butterfly communities via its influence on plant communities. To test this prediction, we analyzed data from the Swiss biodiversity monitoring program for vascular plants and butterflies in 383 study sites of 1 km² that are evenly distributed throughout Switzerland. The area has a modeled N deposition gradient of 2–44 kg N ha⁻¹ year⁻¹. We used traditional linear models and structural equation models to infer the drivers of the spatial variation in butterfly species richness across Switzerland. High N deposition was consistently linked to low butterfly diversity, suggesting a net loss of butterfly diversity through increased N deposition. We hypothesize that at low elevations, N deposition may contribute to a reduction in butterfly species richness via microclimatic cooling due to increased plant biomass. At higher elevations, negative effects of N deposition on butterfly species richness may also be mediated by reduced plant species richness. In most butterfly species, abundance was negatively related to N deposition, but the strongest negative effects were found for species of conservation concern. We conclude that in addition to factors such as intensified agriculture, habitat fragmentation, and climate change, N deposition is likely to play a key role in negatively affecting butterfly diversity and abundance.     

论中性水体pH值与温度的定量关系

本文从热力学角度导出中性水体ｐＨ值与温度的函数关系。又根据实验数据，用数学回归的方法确定了二者的函数关系式。     

填埋场垃圾堆体斜面压实工程试验研究

通过现场工程试验对填埋垃圾堆体斜面压实效果进行了影响因素的研究．试验证明：在垃圾填埋作业过程中，压实机械对填埋垃圾堆体斜面压实的效果受垃圾堆体斜面坡度、垃圾堆体构造层厚度、压实机械行程次数以及压实机械的行驶方向等因素影响显著．实验结果表明：为取得最佳的垃圾堆体斜面压实效果，斜面最佳坡度在1：5～1：4之间，最佳垃圾摊铺厚度在0．6m～0．7m之间，最佳机械行程次数为3次，压实机械的行驶方向为坡下向坡上．     

Variations of plant life form diversity along the Northeast China Transect and its direct gradient analysis

Plant life form diversity and its direct gradient analysis on a larger scale climate change gradient were tested, based on the data from Northeast China Transect platform. The results showed that the species numbers, life form richness and life form diversity were relative higher at the eastern forests and the ecotone between typical vegetation, while those on the meadow grasslands and typical steppes were lower.Although plant life forms can reflect the climate variations, life form diversity is not consistent with the major global gradient along the NECT.     

光照、温度和藻类对底泥释放磷的影响

在悬浮底泥与藻类体系中,不同温度和光照条件对底泥释放磷的影响方面的研究,尚未见到过报道。现对此进行了研究,并得出下述结论:有藻存在时底泥的释放量大于无藻存在时底泥的释放量。光照度大时(一定限度下),底泥的释放量稍有增加;温度升高时,底泥的释放量加大;水柱中含泥量大时,则磷的释放量也大。此工作对在不同条件下浅湖的内负荷量计算提供了基础。     

光照、温度和营养盐对滇池微囊藻生长的影响

研究了光照、温度与营养盐对滇地铜绿微囊藻（Ｍｉｃｒｏｃｙｓｔｉｓａｅｒｕｇｉｎｏｓａ）生长的影响。实验表明，在５００～５０００ｌｘ光强范围内，随光强增加，比增殖速率加大；在２２～３５℃区间内，比增殖速率随温度的升高而增加，且温度的影响大于光照；氮磷比（Ｎ／Ｐ）值在５～１０范围内，比增殖速率变化较大，Ｎ／Ｐ值为１４．５时，比增殖速率达最大值。滇池湖水的氮磷比值为１４．４左右，与实验值相接近。根据实验结果及限制因子的定义，总体上讲，滇池中磷是藻类生长的主要限制因子，控制滇池富营养化应以控制磷为主。     

遗传梯度法在水质数学模型参数估值的应用

介绍一种混合遗传算法－－遗传梯度法，并将其应用于水质数学模型参数估值，较一般优化算法能稳定得到的全局最优解。     

Direct-push geochemical profiling for assessment of inorganic chemical heterogeneity in aquifers

Discrete-depth sampling of inorganic groundwater chemistry is essential for a variety of site characterization activities. Although the mobility and rapid sampling capabilities of direct-push techniques have led to their widespread use for evaluating the distribution of organic contaminants, complementary methods for the characterization of spatial variations in geochemical conditions have not been developed. In this study, a direct-push-based approach for high-resolution inorganic chemical profiling was developed at a site where sharp chemical contrasts and iron-reducing conditions had previously been observed. Existing multilevel samplers (MLSs) that span a fining-upward alluvial sequence were used for comparison with the direct-push profiling. Chemical profiles obtained with a conventional direct-push exposed-screen sampler differed from those obtained with an adjacent MLS because of sampler reactivity and mixing with water from previous sampling levels. The sampler was modified by replacing steel sampling components with stainless-steel and heat-treated parts, and adding an adapter that prevents mixing. Profiles obtained with the modified approach were in excellent agreement with those obtained from an adjacent MLS for all constituents and parameters monitored (Cl, NO(3), Fe, Mn, DO, ORP, specific conductance and pH). Interpretations of site redox conditions based on field-measured parameters were supported by laboratory analysis of dissolved Fe. The discrete-depth capability of this approach allows inorganic chemical variations to be described at a level of detail that has rarely been possible. When combined with the mobility afforded by direct-push rigs and on-site methods of chemical analysis, the new approach is well suited for a variety of interactive site-characterization endeavors.     

低浓度氨氮硝化过程中影响因素的研究

一般来说硝化细菌对环境条件的变化比较敏感,而在低浓度氨氮系统中,硝化细菌对环境条件变化的敏感度比高浓度系统更大,而且其影响规律也有所不同.用富集培养的硝化细菌就温度、pH和碱度对高、低浓度氨氮硝化的影响做了研究.结果表明,低浓度氨氮硝化的温度系数(θ＝1.105)大于高浓度(θ＝1.099),温度对低浓度氨氮硝化的影响较高浓度大;偏碱性的环境更有利于低浓度氨氮硝化的进行,因此低浓度氨氮硝化的最优pH和Alk/N值都较高浓度高.和温度相比,pH和碱度是影响低浓度氨氮硝化过程的主要因素.     

Modelling the response of tree growth to temperature and CO2 elevation as related to the fertility and current temperature sum of a site

A methodology for simulating climate change impacts on tree growth was introduced into a statistical growth and yield model in relation to variations in site fertility and location implemented with current temperature sum. This was based on a procedure in which the relative enhancement in stem volume growth was calculated from short-term runs of a physiological simulation model for Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst.) and silver birch (Betula pendula Roth.) stands. These simulations were made for a set of stands with species-specific variations in stand characteristics, location and fertility type first in current climatic conditions and then in different combinations of CO₂ and temperature elevations. Based on these simulations, the relative enhancement of volume growth induced by the climate change (relative scenario effect, RSEv) was calculated and modelled in relation to: (i) CO₂ and temperature elevation, stand density and the competition status of the tree in its stand, and (ii) variations in site fertility type and current temperature sum of a stand. Finally, these transfer functions for RSEv were applied to adapt the stem volume growth in the statistical growth and yield model to reflect the response to climate change.