多环芳烃对海洋贝类多生物水平毒性效应的研究进展

多环芳烃类化合物(PAHs)是海洋中常见的一类持久性有机污染物,对海洋生态安全及海洋生物健康造成严重威胁。海洋贝类作为海洋生态毒理学研究的模式生物,其滤食性、固着性等生理特点使其对PAHs具有较高的生物蓄积能力,可以在不同生物水平产生一系列的毒性效应。本文综述目前PAHs在海洋贝类多种生物水平所造成的生物毒性效应及其检测方法的研究进展,重点从个体生理特征、组织结构、细胞毒性和基因毒性4个层次展开讨论,为更有效地利用海洋贝类这一模型生物,深入开展PAHs对海洋生物的致毒效应与机制研究提供思路与检测方法参考。     

Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates

Predicting freshwater organisms based on machine learning is becoming more and more reliable due to the availability of appropriate datasets, advanced modelling techniques and the continuously increasing capacity of computers. A database consisting of measurements collected at 360 sampling sites in non-navigable watercourses in Flanders was applied to predict the absence/presence of benthic macroinvertebrate taxa by means of decision trees. The measured variables were a combination of physical–chemical (temperature, pH, dissolved oxygen concentration, conductivity, total organic carbon, Kjeldahl nitrogen and total phosphorus), structural (granulometric analysis of the sediment, width, depth and flow velocity of the river) and two ecotoxicological variables. The predictive power of decision trees was assessed on the basis of the number of Correctly Classified Instances (CCI). A genetic algorithm was introduced to compare the predictive power of different sets of input variables for the decision trees. The number of input variables was reduced from 15 to 2–8 variables without affecting the predictive power of the decision trees significantly. Furthermore, reducing the number of input variables allowed to ease the identification of general data trends.     

Zero-inflated models with application to spatial count data

Count data arises in many contexts. Here our concern is with spatial count data which exhibit an excessive number of zeros. Using the class of zero-inflated count models provides a flexible way to address this problem. Available covariate information suggests formulation of such modeling within a regression framework. We employ zero-inflated Poisson regression models. Spatial association is introduced through suitable random effects yielding a hierarchical model. We propose fitting this model within a Bayesian framework considering issues of posterior propriety, informative prior specification and well-behaved simulation based model fitting. Finally, we illustrate the model fitting with a data set involving counts of isopod nest burrows for 1649 pixels over a portion of the Negev desert in Israel.     

客土喷播-高速公路边坡绿化防护新技术

客土喷播是高速公路边坡绿化防护的一门新技术，本文以探索其生态效益、经济效益及社会效益为目的，着重阐述了客士喷播的工程技术、工艺流程、施工过程及方案，并通过试点工程试验结果，证实了该项技术的可行性和优越性．     

GIS支持下的黄土高原地区植被生态梯度分析

在地理信息系统(GIS)支持下对黄土高原地区257个样方的植被进行了研究。DCA分析较好地反映了植被的连续性变化及植被的生态梯度与气候因子的关系。分析的结果表明．植被组成和结构沿经、纬度变化明显，分异出森林、森林草原、温性草原、荒漠半荒漠植被等不同类型，优势种替代明显，植物种类也形成了不同的生态类型。植被的梯度变化与气候因子密切相关，较好地反映了黄土高原地区环境与结构的空间变异特点。     

Risk assessment of a compound feed process based on HAZOP analysis and linguistic terms

The size and complexity of industrial plants, along with the characteristics of the products used, require a study, analysis and control of the existing risks in every industrial process.In this paper, a methodology for risk assessment in industrial plants, based on the combination of risks identification through the Hazard and Operability (HAZOP) analysis and the risks evaluation through linguistic variables and fuzzy numbers is applied to a case study consisting on a compound feed plant located in the town of Silla (Valencia, Spain).The results from this study show that the main risk in the compound feed production process is the formation of explosive atmospheres (ATEX). Therefore, the corrective measures will focus on reducing the concentration of dust in the atmosphere and eliminating the possible sources of ignition, such as electrostatic discharges or sparks during the different phases of the process (the grinding, the transport of the raw materials, etc.)     

Positives and pathologies of natural resource management on private land‐conservation areas

In managed natural resource systems, such as fisheries and rangelands, there is a recognized trade‐off between managing for short‐term benefits and managing for longer term resilience. Management actions that stabilize ecological attributes or processes can improve productivity in the supply of ecosystem goods and services in the short term but erode system resilience at longer time scales. For example, fire suppression in rangelands can increase grass biomass initially but ultimately result in an undesirable, shrub‐dominated system. Analyses of this phenomenon have focused largely on how management actions influence slow‐changing biophysical system attributes (such as vegetation composition). Data on the frequency of management actions that reduce natural ecological variation on 66 private land‐conservation areas (PLCAs) in South Africa were used to investigate how management actions are influenced by manager decision‐making approaches, a largely ignored part of the problem. The pathology of natural resource management was evident on some PLCAs: increased focus on revenue‐generation in decision making resulted in an increased frequency of actions to stabilize short‐term variation in large mammal populations, which led to increased revenues from ecotourism or hunting. On many PLCAs, these management actions corresponded with a reduced focus on ecological monitoring and an increase in overstocking of game (i.e., ungulate species) and stocking of extralimitals (i.e., game species outside their historical range). Positives in natural resource management also existed. Some managers monitored slower changing ecological attributes, which resulted in less‐intensive management, fewer extralimital species, and lower stocking rates. Our unique, empirical investigation of monitoring‐management relationships illustrates that management decisions informed by revenue monitoring versus ecological monitoring can have opposing consequences for natural resource productivity and sustainability. Promoting management actions that maintain resilience in natural resource systems therefore requires cognizance of why managers act the way they do and how these actions can gradually shift managers toward unsustainable strategies.     

地震损失经济学评估模型灾损参数的统计研究

地震应急管理有助于震后救灾工作的顺利进行。传统的灾损评估需要有关人员进入现场根据地震破坏情况进行评估,这会影响评估的时效性。通过对地震灾损参数进行统计学研究,利用现有的研究成果,以统计指数、数据包络分析为理论基础,将现有的基于不同房屋结构类型、不同破坏等级的震害矩阵进行降维,确定了灾损参数,并以青海玉树地震为例,运用灾损参数实现了灾损的快速评估。     

A Comparison of Volunteer,BioRID P3 and Hybrid III Performance in Rear Impacts

The most important tool for testing seat-systems in rear impacts is a crash test dummy. However, investigators have noted limitations of the most commonly used dummy, the Hybrid III. The BioRID I is a step closer to a biofidelic crash test dummy, but it is not user-friendly and the straightening of the thoracic spine kyphosis is smaller than that 220of humans. To reduce these problems, a new BioRID prototype was developed, the P3. It has new neck muscle substitutes, a softer thoracic spine and a softer rubber torso than does the BioRID I.

The BioRID P3 was compared with volunteer test data in a rigid and a standard seal without head restraints. The dummy kinematic performance, pressure distribution between subject and seatback, neck loads and accelerations were compared with those of ten volunteers and a Hybrid III. The BioRID P3 provided repeatable test results and its response was very similar to that of the average volunteer in rear impacts at Δv = 9 km/h.