对纳米医学材料安全性问题的思考

笔者在综合国内外研究的基础上,从风险辨识、剂量反应阈值、接触阈值、风险评价、风险管理等5个步骤进行了危害分析和控制,提出了"人体、社会环境以及纳米医学材料"三者所构成系统的安全评价模型,认为其过程可分3步来进行;针对该模型提出建立健全相关法律、法规、质量和安全标准等8项安全对策措施,以降低纳米医学材料带来的风险。     

Grouping Lakes for Water Quality Assessment and Monitoring: The Roles of Regionalization and Spatial Scale

Regionalization frameworks cluster geographic data to create contiguous regions of similar climate, geology and hydrology by delineating land into discrete regions, such as ecoregions or watersheds, often at several spatial scales. Although most regionalization schemes were not originally designed for aquatic ecosystem classification or management, they are often used for such purposes, with surprisingly few explicit tests of the relative ability of different regionalization frameworks to group lakes for water quality monitoring and assessment. We examined which of 11 different lake grouping schemes at two spatial scales best captures the maximum amount of variation in water quality among regions for total nutrients, water clarity, chlorophyll, overall trophic state, and alkalinity in 479 lakes in Michigan (USA). We conducted analyses on two data sets: one that included all lakes and one that included only minimally disturbed lakes. Using hierarchical linear models that partitioned total variance into within-region and among-region components, we found that ecological drainage units and 8-digit hydrologic units most consistently captured among-region heterogeneity at their respective spatial scales using all lakes (variation among lake groups = 3% to 50% and 12% to 52%, respectively). However, regionalization schemes capture less among-region variance for minimally disturbed lakes. Diagnostics of spatial autocorrelation provided insight into the relative performance of regionalization frameworks but also demonstrated that region size is only partly responsible for capturing variation among lakes. These results suggest that regionalization schemes can provide useful frameworks for lake water quality assessment and monitoring but that we must identify the appropriate spatial scale for the questions being asked, the type of management applied, and the metrics being assessed.     

大型水电工程胁迫下川西高山地区土地整理模式——以甘孜州泸定县为例

探讨在大型水电工程相继修建的前提下的川西高山地区土地开发整理模式,做到有效增加耕地面积,提高土地利用效率,妥善安置移民。采取实证研究和规范研究相结合的方法进行研究。研究结果表明,川西高山地区土地整理模式可采用工程防护模式、开发未利用地模式、生物工程模式和土地平整模式等。川西高山地区土地整理必须突破水利设施、土壤改造和施工条件差等3项限制性因素,从土地整理的社会效益、经济效益和生态效益的综合体进行整体效益评价。     

Using structural equation modeling to investigate relationships among ecological variables

Structural equation modeling is an advanced multivariate statistical process with which a researcher can construct theoretical concepts, test their measurement reliability, hypothesize and test a theory about their relationships, take into account measurement errors, and consider both direct and indirect effects of variables on one another. Latent variables are theoretical concepts that unite phenomena under a single term, e.g., ecosystem health, environmental condition, and pollution (Bollen, 1989). Latent variables are not measured directly but can be expressed in terms of one or more directly measurable variables called indicators. For some researchers, defining, constructing, and examining the validity of latent variables may be the end task of itself. For others, testing hypothesized relationships of latent variables may be of interest. We analyzed the correlation matrix of eleven environmental variables from the U.S. Environmental Protection Agency's (USEPA) Environmental Monitoring and Assessment Program for Estuaries (EMAP-E) using methods of structural equation modeling. We hypothesized and tested a conceptual model to characterize the interdependencies between four latent variables-sediment contamination, natural variability, biodiversity, and growth potential. In particular, we were interested in measuring the direct, indirect, and total effects of sediment contamination and natural variability on biodiversity and growth potential. The model fit the data well and accounted for 81% of the variability in biodiversity and 69% of the variability in growth potential. It revealed a positive total effect of natural variability on growth potential that otherwise would have been judged negative had we not considered indirect effects. That is, natural variability had a negative direct effect on growth potential of magnitude –0.3251 and a positive indirect effect mediated through biodiversity of magnitude 0.4509, yielding a net positive total effect of 0.1258. Natural variability had a positive direct effect on biodiversity of magnitude 0.5347 and a negative indirect effect mediated through growth potential of magnitude –0.1105 yielding a positive total effects of magnitude 0.4242. Sediment contamination had a negative direct effect on biodiversity of magnitude –0.1956 and a negative indirect effect on growth potential via biodiversity of magnitude –0.067. Biodiversity had a positive effect on growth potential of magnitude 0.8432, and growth potential had a positive effect on biodiversity of magnitude 0.3398. The correlation between biodiversity and growth potential was estimated at 0.7658 and that between sediment contamination and natural variability at –0.3769.     

Sensitivity of normal theory methods to model misspecification in the calculation of upper confidence limits on the risk function for continuous responses

Normal theory procedures for calculating upper confidence limits (UCL) on the risk function for continuous responses work well when the data come from a normal distribution. However, if the data come from an alternative distribution, the application of the normal theory procedures may lead serious over- or under-coverage depending upon the alternative distribution. In this paper we conduct simulation studies to investigate the sensitivity of three normal theory UCL procedures to departures from normality. Data from several gamma, reciprocal gamma, and lognormal distributions are considered. The normal theory procedures are applied to both the raw data and the log-transformed data.     

基于遥感和Markov模型的新疆生产建设兵团土地利用变化

通过对兵团土地利用空间格局变化分析,选择合适的土地利用政策保护生态环境。运用RS和GIS技术对兵团近10年土地利用/覆被变化及景观格局空间变化进行分析,并在此基础上运用Markov模型对未来30年土地利用变化进行预测。2000—2010年,新疆生产建设兵团景观多样性升高,连通性增强,形状愈来愈简单,景观格局整体变化不大;草地、灌丛、湿地、荒漠和冰川/永久积雪面积减少,耕地和城镇面积增加,森林保持稳定;人为干扰对土地利用结构的变化具有重要作用,土地利用强度受人为活动影响的同时受土地利用政策影响;在未来30年间耕地和城镇面积继续增加,除森林基本保持不变外其他土地利用类型均减小。兵团城镇用地与草地和耕地之间的矛盾逐渐显现,势必引起兵团生态格局的变化。因此,必须实行合适的土地利用政策保护环境。     

Multilevel outcomes of creativity in organizations: An integrative review and agenda for future research

Employee creativity is critical for an organization's innovativeness and survival in today's competitive business environment. As such, scholars have devoted significant attention to the predictors of employee creativity, seeking to understand how to best increase employees' creative output. However, employee creativity may not always translate into organizational innovation and performance. In fact, employee creativity may result in various outcomes for creative individuals, their coworkers, teams, and organizations. While there have been several integrative reviews on the antecedents of creativity, an in-depth review of the outcomes of creativity is still needed to gain a holistic understanding of the benefits and costs of employee creativity and identify fruitful areas for future research. Thus, we aim to provide a comprehensive multilevel examination of the theories, methods, and creativity-related constructs used to examine the outcomes of creativity. We also provide several theoretical and empirical opportunities for future research. This review may provide managers with knowledge of the pros and cons of employee creativity, enabling them to make informed decisions on how to better manage employee creativity.     

Leadership and lesson-drawing in the European Union’s multilevel climate governance system

ABSTRACT

The important role that climate leaders and leadership play at different levels of the European Union (EU) multilevel governance system is exemplified. Initially, climate leader states set the pace with ambitious policy measures that were adopted largely on an ad hoc basis. Since the mid-1980s, the EU has developed a multilevel climate governance system that has facilitated leadership and lesson-drawing at all governance levels including the local level. The EU has become a global climate policy leader by example although it had been set up as a ‘leaderless Europe’. The resulting ‘leadership without leader’ paradox cannot be sufficiently explained merely by reference to top-level EU climate policies. Local-level climate innovations and lesson-drawing have increasingly been encouraged by the EU’s multilevel climate governance system which has become more polycentric. The recognition of economic co-benefits of climate policy measures has helped to further the EU’s climate leadership role.     

Requisite Simplicities to Help Negotiate Complex Problems

Decision makers responsible for natural resource management often complain that science delivers fragmented information that is not useful at the scale of implementation. We offer a way of negotiating complex problems by putting forward a requisite simplicity. A requisite simplicity attempts to discard some detail, while retaining conceptual clarity and scientific rigor, and helps us move to a new position where we can benefit from new knowledge. We illustrate the above using three case studies: elephant densities and vegetation change in a national park, the use of rules of thumb to support decision making in agriculture, and the management of salt in irrigation. We identify potential requisite simplicities that can allow us to generate new understanding, lead to action and provide opportunities for structured learning.