马铃薯品种(系)的灰色多维综合隶属度评估

为全面客观地分析品种的综合表现,克服以往育种中仅以产量为主,其它性状凭主观判断来选择品种的局限性,我们用灰色多维综合隶属度评估方法对马铃薯品比试验结果进行综合分析评估.结果表明:99-2-2、S-80和中心23为优良品种,细皮红、凉薯97和对照米拉为较好品种,合作88、大西洋和中心24为一般品种.     

教学翻译与大学英语教学

新一轮的大学英语教学改革正在全国进行.改变对教学翻译的认识,提高教学翻译在大学英语教学中的地位,在大学英语教学中进行切实、有效的教学翻译活动,有利于学生英语综合运用能力的提高和复合型人才的培养.     

北京九龙山油松人工林地位指数表的编制及油松林生长与立地因子的关系

北京地处暖温带半湿润季风气候区，地带性植被是暖温带落叶阔叶林。由于长期受     

An analysis of a silvopastoral system for the marginal land in the Southeast United States

Almost 20 million acres of non-forest cropland in the South can be classified as marginal. Demand projections for forest products call for a 40 percent increase by year 2030. Recent regenerated tree acres lag behind harvested acres. Multiple land use practices combining trees and grazing adjust cash flows forward mitigating negative flow period associated with conventional forest production. Profit opportunities for private, non-industrial landowners can be increased by ranking inputs in order of changes to net present value(NPV). A sensitivity analysis of an agroforestry scenario, including trees, beef cattle, and pasture, allows producers to concentrate management efforts where returns are greatest. Model results show greatest returns to NPV was realized from improvement to Chip-N-Saw income. The least increase in NPV came when the cost of control burns was changed.     

Wood Microstructure Effects on Chinese White Poplar Dyeing

In order to study the influence of wood microstructure on wood dyeing, eleven parameters of wood microstructure and 5 parameters of wood dyeing effects for 34 pieces of wood boards from 5 trees of Chinese white poplar (Populus tomentosa) were determined and the multiple regression analysis between the factors of wood microstructures and the parameters of wood dyeing effects were made. The regression results show that each variable of wood dyeing effects has higher relationship with wood microstructures, and multiple correlation coefficients between each variable of wood dyeing effects and wood microstructures are 0.483 6~0.799 8. The main factors of wood microstructures influencing wood dyeing of Chinese white poplar are proportion of wood ray, proportion of vessel and proportion of wood fiber according to comparing the standardized regression coefficients of multiple regression equation.     

Modeling to assess growth respiration of stems inPinus densiflora trees

Multiple regression analyses were applied to the respiration data obtained by an excision method to distinguish between maintenance and growth respiration in stems ofPinus densiflora. Among several types of regression models, a few models showed marked stability of coefficient of growth related respiration that are independent of degrees of correlation between predictors and any combinations of predictors. These models predicted growth respiration as 0.45 g CO₂ g (dry weight)⁻¹. At 15°C, sapwood maintenance respiration rate was estimated to 0.72 mg CO₂ g⁻¹ day⁻¹. These estimates were not different from the results obtained with standing trees.     

基于多指标区间数关联分析的相对隶属度方法

针对具有区间数的多指标决策问题,借鉴一种逼近于理想点(TOPS IS)分析方法的思想,采用区间数灰色关联度的计算方法,对正、负关联度,利用相对隶属度方法对多方案进行排序,给出了解决区间数多指标决策问题的计算步骤.本文将整个评价方案看作一个整体来寻求正、负理想方案,该方法避免了区间数难以排序的问题,具有可理解性和可操作性.最后给出实例以验证该方法的有效性和实用性.     

闽东桉树品系造林效果综合评价研究

选择福建省有一定栽培面积的7个桉树品系,在永泰县的三个海拔带分别采用随机区组,3次重复的试验设计,运用多目标决策原理,进行综合评价研究,结果表明在永泰山地造林综合指标表现最好的为尾赤桉201;其次为尾园桉184、尾巨桉3229、赤桉9号、巨尾桉C6、;比较差的为巨桉A5、柳窿桉9号。在本地区,包括整个闽东Ⅱ08桉树引种小区,发展桉树宜提倡使用尾赤桉201。     

多重集合的运算研究与应用

集合是现代数学中最基本的概念之一,并已深入到各种学科和技术领域中.而作为集合概念扩展的多重集合概念,却少有应用.通过对多重集合进行系统研究,提出了多重集合的包含、相等、多重幂集,以及多重集合补集等相关概念和运算,建立了多重集合完善的理论体系,并给出了多重集合在古典概率中的应用.为进一步研究多重集合在各种学科和技术领域中的应用打下了良好的基础.     

Using model scenarios to predict and evaluate forest-management impacts on soil base saturation at landscape level

Silviculture, forest conversion and technical tools of ecosystem management, such as forest liming, display their effects at the landscape level. Therefore their planning and control should take place at the same scale. The primary objective of this work was to assess soil chemical properties and their changes in relationship to ecosystem management, especially forest conversion and forest liming. We calculated scenario models, based on regression analysis, which allow such an examination in the context of understanding landscape processes which can be expected to operate in the sampling region. Stepwise multiple linear regression analysis was used to predict soil chemical attributes (base saturation, pH, C/N content and stock, exchangeable stocks of Ca and Mg) as indicators of site stability or off-site effects of forest ecosystems such as effects on clean drinking water from forested watersheds. Because of space limitations, in this paper only the modelling results of base saturation are presented. Base saturation was used as an integrative example for other soil chemical properties. The transformation of measurements to the regional scale, i.e., the regionalization, was calculated for the forested parts of two test regions in the Black Forest on the basis of measured chemical properties of 90–150 soil profiles per test region. The models have a spatial resolution of 50×50 m, which is a spatial scale relevant for forestry practice and forest management. Topographic variables (e.g., elevation, aspect, slope gradient, and slope length), the stratigraphic classification of the geologic substrate, stand characteristics from forest inventory data, and finally technical information about forest liming were the auxiliary variables (secondary site properties) that provided indirect information about base saturation and were available for the whole forested area of the test regions. Base saturation could be predicted with an accuracy of ~50–70% (in terms of the multiple R²) by using these properties as predictor variables in multiple linear regression analyses. The explained proportion of variance was unexpectedly high considering the high geomorphological heterogeneity of the two test regions. Based upon the regionalization models, it was possible to establish scenarios showing the landscape-related effects on base saturation that may be achieved by forest conversion towards a higher proportion of forests with broad-leaved mixed stands and by forest liming. These scenarios allow the interactions between several influencing factors and management strategies and the impacts on the target variable to be synoptically judged. Thus the presented regionalization models achieve the role of decision support tools for the planning of forest management at the landscape level. They allow an assessment of the environmental effects of forest management strategies in terms of site sustainability or preservation of water resources in forested catchments.