中国土地盐碱化及其防治对策研究

中国盐碱地面积为３６３０万ｈｍ２，土地盐碱化是农业生态环境退化的重大问题之一。土地盐碱化治理和预防对中国干旱、半干旱和半湿润地区农业生态系统退化防治、农业生态环境保护和未来食物安全性具有非常重要的实践意义。本文简要评述了我国土地盐碱化的历史及发展趋势以及土地盐碱化可能造成的土地面积、生产力和经济损失；在对土地盐碱化发生和发展的技术和社会经济原因，以及现有技术、管理、政策和法律法规进行系统评述的基础上，提出了我国土地盐碱化防治的区域战略、技术政策、管理政策、法律法规及经济激励手段。     

可持续环境与自然资源发展核算

对自然资源耗减价值的核算范围、核算原理、核算方法及环境污染损失价值时间长度的确定进行了论述。为准确的核算绿色GDP，研究资源、环境与经济发展之间的关系，提供了准确的数量依据。     

山一村山地生态系统结构功能和系统调控

本文对山－村山地生态系统的结构和功能、能量产投比、生物量等进行实地调查和研究。结果表明，通过多年生态建设，山地生态系统已显示较好的经济、环境和社会效益。     

上海城市绿地系统构筑初探

本文从剖析上海城市绿地存在问题入手，结合城市规划配套发展原则，走生态城市大园林之路，探讨了绿地系统构筑的指导思想和原则，研究并提出了城市绿地系统的构筑的四大子系统体系。     

黑河流域土地退化分类研究

黑河流域位于我国的西北内陆干旱区。人类不合理利用水资源造成的土地退化，已成为黑河流域一个非常严重的生态问题。土地荒漠化是该流域最典型和最严重的土地退化形式。对该流域土地退化的空间分布、特点、退化面积等方面还没有较为详细的研究，因此探讨这个问题就显得非常重要。文章通过最新的遥感影像资料(2000年)，在分析已有的研究成果的基础上，结合野外调查，利用遥感和地理信息系统(GIS)技术，初步分析了黑河流域土地退化的情况。研究结果表明，黑河流域土地退化主要有5种类型，即：水土流失、干旱化、植被退化、盐渍化和沙漠化。土地退化面积达29971．91km^2，占整个流域面积的23．06％；其中，水土流失主要分布在祁连山的南部山区，面积为5747．68km^2，占整个流域土地退化面积的19．18％，主要是由于过度开垦和放牧造成的；由于人类活动的影响，造成水资源在时空上的重新分配而导致的干旱化土地主要分布在山前部分冲、洪积平原的河流沿岸附近，其面积为1369.96km^2，占整个流域土地退化面积的4．57％；盐渍化土地是该流域土地退化的主要类型之一，面积为10591．82km^2，占整个流域土地退化面积的35．34％，分布在流域的低地、冲积扇的边缘等位置，主要是由于干旱的气候条件造成的；沙化土地，包括流动沙丘(地)，是研究区土地退化面积最大的类型，为10771．97km^2，占整个流域土地退化面积的35.94％，这其中也包括历史时期形成的沙漠和现代形成的大部分沙地；植被退化土地面积为1490．48km^2，只占整个流域土地退化面积的4．97％。通过分析可知，黑河流域土地退化严重，特别是在下游地区。人类不合理的经济活动，尤其是对该流域内有限水资源的不合理利用，是导致该地区土地生态系统脆弱的主要因素。     

快速渗滤土地处理系统对城市生活污水中N、P去除的优化研究

为了探索城市生活污水中N、P去除，在实验室内采用混合土为介质，以均匀设计原理为指导，进行模拟人工快速渗滤系统对城市生活污水中N、P的去除。研究不同介质配比，淹水时间，湿干比3种因素组合对污水处理的最优运行模式。试验结果表明：通过选取混合土为介质及以上3个参数是可行的；通过回归统计得出最优模型。     

湖泊水环境保护功能区划分

在浓度场基础上，利用总磷、总氮和ＣＯＤ三项指标的综合指数法，结合管理部门提供的资料，划分了滇不不环境保护功能区，给出了划分指标值及功能区划分图。     

The nature and significance of public exposure to arsenic: a review of its relevance to South West England

In South West England, more than two hundred years of intensive exploitation of metalliferous ore deposits, combined with the natural processes of pedogenesis from mineral-rich parent rocks, has resulted in the creation of a aignificant area of arsenic-contaminated wastes and soils. The scale of arsenic dispersion by natural and anthropogenic processes is such that 722 km² of land contains concentrations of arsenic in excess of 110 g g^–1, more than twice the maximum that might be expected in a normal soil.The general rationale for the clean-up of derelict and contaminated mining sites often includes aesthetic factors and the desirability of preventing the dispersion of contaminants beyond the site boundaries. Only in extreme cases is public health directly invoked as justification for remediation. In South West England, if arsenic constitutes a genuine threat to the public, an increased rate of site remediation would be justified. The primary purpose of this review is to establish whether or not widespread arsenic contamination (principally of soils) has any measurable effects on public health in South West England, and how this might affect current contaminated site remediation policy. The review is based on data from previous research in the region, and other relevant international studies of mining and smelting communities, and other populations exposed to elevated arsenic concentrations. The literature reviewed also includes the determination of the extent and sources of contamination, and pathways between source and man.While the contamination of potable waters in some countries has led to measurable health effects, this scenario has not yet been identified in South West England, and there is little reason to believe that significantly contaminated potable water supplies would escape detection for extended periods of time under the current monitoring regime.In relative terms (based on both globaland local data), one of the most significant links between contaminated soils and humans appears to be contaminated food stuffs. In absolute terms, such exposure is low due to the natural constraints on arsenic uptake by herbage, cereal crops and vegetables, and the food chain does not appear to have been significantly compromised in South West England. Chronic health effects are unlikely as excessive arsenic concentrations in locally grown food crops remain rare.With the problems of confounding medical and social factors, it is not surprising that studies in South West England have failed to identify chronic exposure to arsenic at very low concentrations as a significant health risk. Those studies that indicate otherwise do not stand up to close scrutiny. It appears that the number of additional deaths arising from the widespread arsenic contamination in South West England is small. The relative benefits of a costly statistical study to actually determine the number of additional deaths might be considered minimal, but one major area could benefit from further studies: the sensitivity of certain population sub-groups to environmental arsenic exposure. Of particular interest are children, for whom significant exposure to arsenic via soil ingestion may be occurring.Based on available information, there appears to be no justification for a large programme of site remediation. Resources should, however, be expended on enlightening the general public, and private and governmental organisations as regards the gap between the perceived and actual significance of arsenic contamination in South West England.To whom correspondence should be addressed.     

A regression tree-based method for integrating land-cover and land-use data collected at multiple scales

As data sets of multiple types and scales proliferate, it will be increasingly important to be able to flexibly combine them in ways that retain relevant information. A case in point is Amazonia, a large, data-poor region where most whole-basin data sets are limited to understanding land cover interpreted through a variety of remote sensing techniques and sensors. A growing body of work, however, indicates that the future state of much of Amazonia depends on the land use to which converted areas are put, but land use in the tropics is difficult to assess from remotely sensed data alone. An earlier paper developed new snapshots of agricultural land use in this region using a statistical fusion of satellite data and agricultural census data, an underutilized ancillary data source available across Amazonia. The creation of these land-use maps, which have the spatial detail of a satellite image and the attribute information of an agricultural census, required the development of a new statistical technique for merging data sets at different scales and of fundamentally different data types. Here we describe and assess this nonlinear technique, which reinterprets existing land cover classifications by determining what categories are most highly related to the polygon land-use data across the study area. Although developed for this region, the technique appears to hold broad promise for the systematic fusion of multiple data sets that are closely related but of different origins. The figures in the printed version of this article appear in black and white. Color figures are available from the author upon request.     

The apportionment of quadratic entropy: a useful alternative for partitioning diversity in ecological data

Many methods that study the diversity within hierarchically structured populations have been developed in genetics. Among them, the analysis of molecular variance (AMOVA) (Excoffier et al., 1992) has the advantage of including evolutionary distances between individuals. AMOVA is a special case of a far more general statistical scheme produced by Rao (1982a; 1986) and called the apportionment of quadratic entropy (APQE). It links diversity and dissimilarity and allows the decomposition of diversity according to a given hierarchy. We apply this framework to ecological data showing that APQE may be very useful for studying diversity at various spatial scales. Moreover, the quadratic entropy has a critical advantage over usual diversity indices because it takes into account differences between species. Finally, the differences that can be incorporated in APQE may be either taxonomic or functional (biological traits), which may be of critical interest for ecologists.