植物病毒检测技术研究进展

介绍了常用植物病毒的检测方法,包括生物学检测法、电镜技术、血清学方法和分子生物学方法中一些较常用的病毒检测方法,同时对各种方法的优缺点进行了比较。     

黄土高原沟壑区土壤侵蚀评价指标体系——以中国王东沟流域为例

The Wangdonggou Watershed on the Loess Plateau in China was selected as the study area to develop a model for soil erosion assessments. Using the data collected at 20 sampling sites all tentatively selected indicators were assessed against their corresponding erosion intensity through a correlation analysis. Eight highly correlated indicators were then chosen for the soil erosion assessment. In addition, threshold limits to delineate the class size for these indicators and weights to rank them were determined. Next, a grading model incorporating the selected indicators class rating and their associated weights was developed and verified by an on site evaluation of the soil erosion intensity in the study area. Results of the verification showed that the overall accuracy of the indicator system for assessing soil erosion in the Loess Plateau gully regions could reach 85%.     

基于DPSIR概念框架的区域水土保持效益评价新思路

 定量评价区域水土保持效益并得到综合质量指数,便于区域水土保持效益的纵向或横向比较,进而为水土保持技术的提升和区域生态环境建设的科学决策服务。DPSIR(driving force-pressure-state-impact-response)概念框架有助于全面分析水土保持的"驱动力"、"压力"、"状态"、"影响"和"响应",有助于理解水土保持社会、经济和环境各因素的作用过程以及彼此之间的因果关系。在介绍DPSIR概念框架的基础上,根据区域水土保持效益评价指标体系构建的主导原则,初步提出水土保持效益评价的DPSIR框架,进而提出水土保持效益评价从基础数据到综合指数集成的新思路。     

土地利用总体规划中生态退耕规划标准指标体系构建与应用

生态退耕规划标准是新一轮土地利用总体规划编制过程中确定生态退耕布局和规模的准则和依据。针对目前生态退耕规划仅从改善生态环境的单一目标出发，而忽视生态退耕对区域粮食安全、经济发展影响的情况，该文以河北省为例，根据整体性、综合协调、科学和可操作性的原则，构建了生态退耕规划标准指标体系；并以河北省下辖11个行政市为评价单元，应用层次分析法进行河北省生态退耕区域评价；应用最小人均耕地面积的概念，确定生态退耕规模。根据评价单元各因素和综合得分情况，河北省可划分为重点、次重点和一般生态退耕区。预计到2020年河北省生态退耕总规模约为61.09×10⁴ hm²。     

Oribatid mites in urban zones of West Berlin

Summary A comparison is made between oribatid fauna (Acari, Oribatida) in the urban regions of West Berlin and forest areas. There are characteristic species compositions living in urban soils, in epilithic moss cushions or on the bark of trees. The urban environment obviously causes a change in the species pattern in these types of habitats and minimizes the number of species in central urban regions. The most important regional factors are probably relative aridity, air pollution and habitat isolation, showing a similar increasing tendency from sub-urban to central regions of West Berlin. The effects of air pollution (SO2) on moss-inhabiting oribatid mites are analysed in 13 sites of the urban district of West Berlin. The use of moss- and bark-dwelling mites as bioindicators of air pollution is discussed.Soil oribatids might be useful bioindicators of soil pollution in further research.Dedicated to the late Prof. Dr. M.S. Ghilarov     

Neural network ensemble residual kriging application for spatial variability of soil properties

High quality, agricultural nutrient distribution maps are necessary for precision management, but depend on initial soil sample analyses and interpolation techniques. To examine the methodologies for and explore the capability of interpolating soil properties based on neural network ensemble residual kriging, a silage field at Hayes, Northern Ireland, UK, was selected for this study with all samples being split into independent training and validation data sets. The training data set, comprised of five soil properties: soil pH, soil available P, soil available K, soil available Mg and soil available S,was modeled for spatial variability using 1) neural network ensemble residual kriging, 2) neural network ensemble and 3) kriging with their accuracies being estimated by means of the validation data sets. Ordinary kriging of the residuals provided accurate local estimates, while final estimates were produced as a sum of the artificial neural network (ANN) ensemble estimates and the ordinary kriging estimates of the residuals. Compared to kriging and neural network ensemble,the neural network ensemble residual kriging achieved better or similar accuracy for predicting and estimating contour maps. Thus, the results demonstrated that ANN ensemble residual kriging was an efficient alternative to the conventional geo-statistical models that were usually used for interpolation of a data set in the soil science area.     

北京山区石匣小流域综合治理可持续发展评价与分析

以石匣小流域为研究对象,提出了适用的、可操作的、简化的小流域综合治理可持续发展指标体系。该指标体系由目标层、类目指标层、项目指标层和指标变量层构成。目标层为小流域综合治理可持续发展度,类目指标层为社会发展能力、经济发展能力和资源环境承载能力。项目指标层为物质需求度、核心发展度、经济富强度、资源丰富度和环境容忍度,指标变量层由18个具体的指标构成。按照从指标变量层、项目指标层、类目指标层到目标层的次序,逐层计算各项指标值,最终得出小流域综合治理可持续发展度的指标值。对不同年度石匣小流域可持续发展进行了科学的评价与分析。     

潋水河流域生态修复过程中土壤速效钾的时空变异

采用基于GIS普通克里格法和概率克里格法分析江西潋水河流域土壤速效钾含量的时空变异特征。结果表明,潋水河流域样点间表层(0～30cm)土壤速效钾平均含量由1981年的(134 8±89 7)mg/kg降低到2002年的(131 9±97 6)mg/kg,平均降低了2 15%。尽管经过近21年的生态修复,样点间土壤速效钾平均含量总体上下降不多,但因土地利用和水土流失修复工程实施的差异,占流域面积60 63%的土壤速效钾含量减少,仅占39 37%的土壤速效钾含量增加。土壤速效钾含量分级统计表明,1981年速效钾含量水平在50～100mg/kg,100～150mg/kg,150～200mg/kg和>200mg/kg的土壤分别占流域面积的10 35%,75 31%,11 78%和2 56%,而2002年则相应为30 75%,49 31%,16 60%和3 31%。该流域土壤速效钾在≤100mg/kg,≤120mg/kg和>150mg/kg含量水平下的几何平均概率分别由1981年的0 453,0 566和0 327变为2002年的0 523,0 611和0 292。从贮量变化上看,21年间潋水河流域内表层土壤速效钾贮量从1981年的2 48×104t变为2002年的2 30×104t,下降了1875 35t。     

开发建设项目水土保持监测指标体系及监测方法初探

分析了开发建设项目水土流失的特点及监测现状。从监测结果需全面反映水土流失动态及其防治效果的角度,提出了开发建设项目水土保持监测指标体系,并提出了各指标的监测方法。     

番茄果实采后贮藏过程中的颜色动力学模型及其应用

研究了番茄采后成熟过程中果皮颜色的变化规律，发现色泽角（H°）、色泽比（a/b）和明度等主要颜色参数的变化均符合一级动力学模型，并由实验确定了各颜色模型的动力学参数：参考变化速率常数（K_ref）和反应活化能（E_α）。在此基础上，设计了一个色泽角-时温预测器，能够预测和监控果实采后贮藏的品质变化。