A Conceptual Framework for Selecting and Analyzing Stressor Data to Study Species Richness at Large Spatial Scales

/ In this paper we develop a conceptual framework for selectingstressor data and analyzing their relationship to geographic patterns ofspecies richness at large spatial scales. Aspects of climate and topography,which are not stressors per se, have been most strongly linked withgeographic patterns of species richness at large spatial scales (e.g.,continental to global scales). The adverse impact of stressors (e.g., habitatloss, pollution) on species has been demonstrated primarily on much smallerspatial scales. To date, there has been a lack of conceptual developmenton how to use stressor data to study geographic patterns of speciesrichness at large spatial scales.The framework we developed includes four components: (1) clarification of theterms stress and stressor and categorization of factors affecting speciesrichness into three groups-anthropogenic stressors, natural stressors, andnatural covariates; (2) synthesis of the existing hypotheses for explaininggeographic patterns of species richness to identify the scales over whichstressors and natural covariates influence species richness and to providesupporting evidence for these relationships through review of previousstudies; (3) identification of three criteria for selection of stressor andcovariate data sets: (a) inclusion of data sets from each of the threecategories identified in item 1, (b) inclusion of data sets representingdifferent aspects of each category, and (c) to the extent possible, analysisof data quality; and (4) identification of two approaches for examiningscale-dependent relationships among stressors, covariates, and patterns ofspecies richness-scaling-up and regression-tree analyses.Based on this framework, we propose 10 data sets as a minimum data base forexamining the effects of stressors and covariates on species richness atlarge spatial scales. These data sets include land cover, roads, wetlands(numbers and loss), exotic species, livestock grazing, surface water pH,pesticide application, climate (and weather), topography, and streams.KEY WORDS: Anthropogenic impacts; Biodiversity; Environmental gradients;Geographic information systems; Hierarchy     

支持灾害管理决策的咨询信息系统

为减少中国大城市灾害造成的损失，运用信息科学、系统科学的方法和计算机技术，建立支持灾害管理决策的咨询信息系统（ＤＭＤＳＣＩＳ）。灾害文献数据库管理系统（ＤＬＤＢＭＳ）是这一咨询信息系统的知识基础和信息来源。本文论述了“ＤＬＤＢＭＳ”和三个主要的子系统“灾害文献数据库管理系统”、“灾害事实数据库管理系统”、“中外减灾法规超文本检索系统”的作用、设计思想、构成、功能和实现方法。     

Using digital image projections to visualize forest landscape changes due to management activities and forest growth

A pedagogic problem in forestry and landscape management is to visualize future landscape effects of forest growth and current management activities in the forest. This paper presents a method for forecasting digital image projections of forest landscape dynamics. Static nonlinear regression functions estimate the digital numbers in a Landsat Thematic Mapper image. Regressors used are forest stand variables. By estimating the future forest stand data, based on intermediate treatment and growth, future satellite digital images are created. In a case study example, the future landscape of a forest block in the province of Västernorrland, Sweden, is projected to demonstrate the application of this visualization technique.     

淮河上游洪水灾害可公度信息系预测

可公度信息系是一种源于天文学的预测方法，其实质是寻求事物发生的经验关系。本文应用此法对淮河上游的洪水灾害进行了预测分析，结果表明淮河上游洪水灾害发生具有２ａ、４ａ、５ａ、７ａ、９ａ、１１ａ、１９ａ及７１ａ等多种周期，并在１９９７年、２０００年等年份的前后有可能发生大洪水。     

加强环境信息工作的对策探讨

根据环境信息工作直接、及时、针对性强等特点和发展趋势，有的放矢地提出了强化意识，提高信息质量，深入调研，进一步加强环境信息工作的对策。     

"双主模式"在课程整合中的应用

信息技术与课程整合的实施是强调在各学科的教学过程中积极运用信息技术.大部分学校的实践过程中还是普遍存在着这样那样的误区.将“双主模式“教学设计理论作为信息技术与课程整合的指导思想,体现学生的主体性,发挥教师的主导作用.     

信息时代的数字图书馆

数字图书馆是将文字、图像、声音等信息数字化,通过国际互联网传输,做到信息资源全球共享.数字图书馆拥有丰富的多种媒体数字化信息资源,是没有时空限制的超大规模知识中心.     

构建建筑行业环境会计信息的思考

环境会计的研究落脚到建筑行业中,有利于在研究中加强环境科学与会计理论的结合,充分利用环境学中的技术方法,探索环境成本的核算方法,为建筑行业的发展提供一个有效管理工具,同时也为环境会计的建立寻找突破口做出创新创造条件.     

矿井安全CIMS技术研究

针对矿区CIMS技术的发展需要,探讨了以安全信息为主要内容的可视化系统,介绍了系统的功能、结构和技术特点.该系统具有工作可靠,使用方便的优点,能较好地实现煤矿安全信息的可视化和智能化集成管理,为矿井安全可靠运营提供保障.     

基于数据库的煤矿危险源辨识系统研究

目前,煤矿大多采用的是检查项和检查内容固定的安全检查表法,为提高煤矿危险源辨识效率和准确性,遏制煤矿事故的发生,从职业安全健康管理体系角度,探讨了煤矿危险源辨识问题,并设计了以煤矿安全信息管理系统为基础的危险源辨识系统,模拟煤矿现场实际情况;依据职业安全健康管理体系中危险源管理的模式筛选出数据库中的相关信息,动态生成与之相适应的安全检查表。同时对煤矿安全信息管理系统的结构、功能以及辨识程序进行了分析。