四川省荣县金花乡桫椤自然保护区植被区系组成分析

本文报导了四川省荣县金花乡桫椤自然保护区植物区系组成成分的特点，区系分区为泛北极植物区，中国－日本森林植物亚区，华中植物亚区，属分布区类型，热带成分５８．３３％，温成分４０．２８％，地中海成分０．６９％，中国特有成分０．６９％，全世界分布的属有１２属，植被类型为中亚热带常绿阔叶林，以常绿阔叶乔木占优势，革质叶最多，中型叶占较大比例，这与本区的低海拔湿热环境和亚热带季风气候是相适应的。     

中条山植被垂直带谱再分析

根据现状植被的特点，对中条山植被垂直带谱进行了再分析，修正了以前垂直带划分方案中的错误，将垂直带划为：侧柏林带（５００～１０００ｍ）——松栎林带（８００～１５００ｍ）——栓皮栎林带（１４００～２０００ｍ）——杨桦林带（１９００～２２００ｍ）——山地草甸带（２１００～２３５８ｍ）。文中对各带的特征及利用方向作了论述     

徐州市人工侧柏林的群落结构及物种多样性分析

以徐州周围山地人工侧柏林为研究对象,在全面勘察的基础上,建立了10块具有代表性的调查样地.通过对群落的生境条件、种类组成和结构等的调查,详细分析了徐州市现有侧柏林的群落结构和物种多样性.分析结果显示,徐州周围山地现有人工侧柏林群落结构简单,物种丰富度和多样性较低,生长更新缓慢.建议引种朴树、臭椿、黄连木、三角槭、梧桐、女贞等树种,以改造林相,促进地带性植被的恢复.     

有关传销群体的数学描述

本文仅就传销群体服从齐次生灭过程,线性增灭过程的情形作了讨论。     

亚热带岩溶山区植被演替和夏季土壤CO2浓度动态关系

对南川市金佛山西坡相近的环境条件下不同植被类型土壤CO2 浓度及其主要环境因子进行连续观测的基础上 ,采用空间换时间的方法对植被演替对夏季土壤CO2 浓度的动态影响作了详细的研究 ,认为 :土壤CO2 随气温的变化有明显的日变化 ,降水对其浓度也有较大的影响 ,其变化过程及CO2 浓度剖面动态与植被类型有关 ;不同植被条件下土壤CO2 浓度月动态受环境因素影响显示出的差异不大 ,但浓度值水平有很大差别 ;植被演替是岩溶和土壤吸收CO2 作用的重要促进因素 .     

基于人工神经网络的城市航空遥感图像植被分类研究

研究了一种基于模糊量化与多层前馈神经网络相结合进行多类别遥感图像植被分类的新方法.对分类指标 进行π隶属函数模糊量化之后,进行多层前馈神经网络(MLP)训练,再用训练后的MLP网络构成监督分类器,并 以宁波市彩红外航空遥感图像资料为数据源,选取园林区为试验区,对植被进行监督分类,分类精度达78%.研究 成果表明,该方法适用于多类别的遥感图像植被分类,其分类效果也较好.     

现代城市防震减灾研究

城市人口集中，是一个地区的经济中心，减少城市地震灾害损失时于保护人民生命安全，保持经济持续发展意义重大。分析了地震时现代城市造成的破坏和影响，从地震预测、城市防灾规划、建筑物抗震设计以及人民群众的防灾教育等方面探讨了有效减轻地震灾害的措施。     

吉林珲春新近系土门子组孢粉组合及其意义

通过对吉林珲春土门子组孢粉样品分析。建立了Quercoidites-Ulmipollenites-Liquidambar-pollenites组合。根据孢粉植物群特征及其与周围地区对比，其地质时代归属新近纪中中新世为宜。孢粉组合中喜温成分占多数，亚热带成分如Caryapollenites、Liquidambarpollenites等也较为常见，反映了当时比较温暖湿润的暖温带-亚热带气候，在我国第三纪植物群区系中属于东部落叶阔叶林植物区。     

NPP distribution related to the terrains along the North-South Transect of Eastern China

Vegetation net primary productivity (NPP) is defined as the accumulative amount of organic matters per unit area and time, which is calculated from the difference between accumulative photosynthesis and accumulative autotrophic respiration by green plants. Since the NPP reflects the physiological and ecological characteristics of the plants and the interactive results of the environmental factors, it is an important index to evaluate a structure of ecological system, functional features and …     

Approaches to prediction of impact of Qinghai-Tibet Railway construction on alpine ecosystems alongside and its recovery

With the aid of the Remote Sensing (RS) and Geographic Information System (GIS) technology, the ecosystem pattern and fragility distribution maps of the 50-km-wide zone along the Qinghai-Tibet Railway were compiled and by using the superimposition method, range, area and indexes of the impact of various engineering activities on the ecosystems alongside the railway were studied. By making reference to the ecosystem recovery process of the Qinghai-Tibet Highway, mechanisms of recovery of the alpine ecosystems alongside the Qinghai-Tibet Railway were studied and extents and rates of the recovery were predicted.The results indicate that the impact of the railway engineering on the Alpine ecosystem depends mainly on how much the original surface soil in the zone has been disturbed and how fragile of the ecosystem per se. Restoration of vegetation coverage and species abundance shows a significantly reverse relationship with disturbance of the original surface soil but an extremely positive one with the length of the restoration period and mean annual precipitation and annual mean relative humidity in the period and no obvious bearings with altitude and temperature. In sections with an annual precipitation over 200mm, as long as a certain percentage of original soil is left in situ, it takes only 30 years or so for biodiversity to get basically restored to the original level after the construction is completed but at least 45-60 years or more for vegetation coverage.