Community analysis in stream biomonitoring: what we measure and what we don't

Diatom assemblages from 83 epilithic samples taken from the Mesta River, Bulgaria, were regressed against three sets of predictor variables, i.e. environmental, spatial, and temporal. Redundancy analysis (RDA) of species and environmental data explained 36% of the diatom variance and extracted several important gradients of species distribution, associated with a downstream increase in nutrient levels, pH, temperature, and organic pollution. The inclusion of spatial and temporal variables in the RDA model captured additional 24% of the diatom variance and revealed three more gradients, a spatial gradient represented by higher order polynomial terms of latitude and longitude, and two temporal gradients of annual and seasonal variation. Partial RDAs demonstrated that the unique contribution of each predictor set to the explained diatom variance was the highest in the spatial dataset (16%), followed by the environmental (9%), and the temporal (7%) datasets. The remaining 28% of the variance was explained by the covariance of the predictor sets. This suggests that in biomonitoring of single stream basins, the cheap and simple account of space and time would explain most of the variance in assemblage composition obviating the necessity of expensive and time-consuming environmental assessments. The nature of the underlying environmental mechanisms can be easily inferred from the diatom composition itself.     

Deficit analysis: service capacity assessment and planning in developing countries – case study in the Philippines

Current demand analysis methods do not formally cover the case of chronic deficits in quantity or quality of water and sanitation services. These services include drinking water supply (DWS), wastewater and sewage treatment (WST), and municipal solid waste management (MSW). Formal analysis of this case would, at minimum, define the deficit state and evaluate appropriate options for reducing it. This paper proposes for a formal analytical model for municipal sanitation systems (MSS) that operate with deficits in at least one of the constituent services of DWS, WST, or MSW. The model introduces definitions and notation for describing the deficit state for conducting demand analysis on municipal sanitation systems. This model of demand analysis for systems with chronic deficits will hereinafter be referred to as deficit analysis. A case study for Bacoor, Philippines is presented as an example.     

DNA同源性分析最终确定新疆中华根瘤菌（Sinorhizobium xinjiangensis）为一独立种

针对S.xinjiangensis分类地位的争议,从新疆再次分离获得34株快生大豆根瘤菌,在16SrDNAPCR-RFLP分析和SDS全细胞蛋白电泳分群的基础上,进行了16SrDNA全序列相似性和DNA同源性分析.所测4个菌株和S.fredii模式菌株USDA205的16SrDNA全序列有很高的相似性.而DNA同源性分析说明新分离的菌株代表与原定的S.xinjiangensis为一个DNA同源群.其模式菌株CCBAU110与S.fredii的2株参比菌株USDA194、2048之间的DNA同源性分别为31.5%和28.7%.S.fredii的模式菌株USDA205与新分离的菌株代表及原定的S.xinjiangensis的模式菌株和2个参比菌株之间的DNA同源性为20.8%～39%,远低于70%.属于种水平上的差异.按照国际细菌分类委员会以DNA同源性≥70%且△Tm≤5℃作为定种的标准,S.xinjiangensis是Sinorhizobium属中不同于S.fredii的一个独立的种.表3参20     

Chemical composition of water conditioned by crowdedMoina macrocopa (Crustacea: Cladocera)

The chemical composition of water conditioned by colonies ofMoina macrocopa and involved in the regulation of their life cycle was analyzed in comparison with water samples from natural water bodies. Dechlorinated tap water was used as the control medium. The results showed that metabolism of crustaceans leads to an increase in the concentrations of phosphorus and nitrogen in all forms, the appearance of protein and carbohydrate fractions, and changes in the composition of lipid fractions in the water conditioned by their colonies. The contents of all organic components are very low, which makes their identification difficult. Concentrations of substances identified in the conditioned water do not exceed those occurring in nature.     

Gradient analysis of the chrogenetic structure of lowland and highland scotch pine populations

Gradients of genetic distances (GGDs) between 26 adjacent cenopopulations of Scotch pine (Pinus sylvestris L.) along the transects through the distinct landscape-ecotopic isolation borders were analyzed graphically. The results made it possible to reveal and quantitatively estimate gradients and borders of gene-pool structural patterns in populations of this species in the central part of Northern Eurasia. In lowland areas, the most distinct borders were found between pine populations growing on dry lands and bogs (Pineta sphagnosa) in the forest zone of the Transural region, as well as between the Arakaragaiskii and Amankaragaiskii island pine forests in the steppe zone (Northern Turgai). In highland areas (the Urals and the Carpathians), the greatest GGDs were observed between low-mountain (about 600 m above sea level) and middle-mountain (850–900 m) populations. Analysis of GGDs is a promising gene-geographic method for determining population borders and studying the chorogenetic structure of species.     

Portrayals of Endangered Species in Advertising: Exercising Intertextuality to Question the Anthropocentric Lens

This paper examines recent advertisements used by the World Wildlife Fund (WWF) to raise awareness about the predicament of endangered, vulnerable, and threatened species. By engaging in a critical discourse analysis of a selection of advertisements, this study demonstrates how the WWF uses intertextuality as a discourse strategy to articulate its message and objectives. In this paper, I argue that by engaging in the juxtaposition of various paratexts (“layers of meaning”), the WWF produces a narrative which reveals an anthropocentric lens through which we view the world. The advertisements are found to resort to paratexts of anthropomorphism with the intent of extending the bounds of personhood to non-human animal species. In closing, I maintain that intertextuality is employed not only to question the dominant human-centric paradigm, but serve the heuristic function of encouraging a more empathetic identification with the animals in question and the creation of a more holistic worldview.     

Applying the Kuhn–Tucker model to estimate the value of recreational ecosystem services in Sicily

This paper applies the Kuhn–Tucker model to estimate recreation demand of parks in Sicily. We estimate a fixed coefficient specification and a random coefficient specification to take into account heterogeneity across visitors. Estimates suggest a diversity of preferences across the population and that parks with higher level of quality attributes are more likely to be visited. We also simulate two sets of hypothetical policy scenarios to evaluate and compare the recreational value of each park and the welfare impacts of changes in a quality attribute.     

压力传感器位移分析及疲劳寿命预测

完成了依据有限元疲劳分析为基础的传感器寿命预测研究工作。阐述压力传感器工作原理,定义影响系统寿命的参数组,既包含力学环境参数,亦包括材料属性、几何形式等结构参数。针对不同参数属性,依据疲劳强度计算需求,构建有限元数值计算模型;根据影响传感器寿命的传感单元单晶硅S-N(应力-循环)分布,完成变载荷输入条件下模型疲劳分析,依据数值计算结果完成该压力传感器寿命预测工作。结果表明:压力传感器使用寿命在7.068E8次数以上。本课题研究提出的新方法,摆脱了传统依靠试验完成多种材料组成结构体的疲劳分析及寿命预测窘境,具有通用性。     

环境试验数据管理系统的应用

介绍了环境试验数据管理系统的功能及组成,阐述了系统建设的目的和达成的目标,并对其在企业内部的应用效果进行了分析。