松嫩平原不同演替阶段植物群落和土壤特性的关系

探讨了松嫩草原植物群落演替与土壤化学性质与土壤肥力的关系。结果表明：不同演替群落阶段，其土壤的化学性质和肥力存在一定差异，由于土壤化学性质不同，使群落镶嵌分布，组成植被的复合体。随着植被的退化演替，群落的盖度，高度下降，种类组成趋于简单化，生物量减少，土壤盐碱化程度加重，土壤肥力下降，出现次生盐碱植物群落，群落的生物量与土壤值，含盐量，碱化度呈负相关，与土壤腐殖质和全氮含量呈正相关。     

城市拆迁空地对城市绿化率的影响

近年来,我国城市建设发展迅速,产生了大量的拆迁空地,就拆迁空地对城市绿化率的影响进行了定量的研究,并提出相应的对策。     

塔里木盆地北缘植被生活型组成的分析

塔里木盆地北缘地区共记录野生植物123种,在其生活型组成中,地面芽植物居首位,达35.6%,次为一年生植物占22.7%,表现本区植被具有温带荒漠的特殊属性。塔里木盆地为我国最干旱的内陆盆地。这一区域的环境及生物群的特点曾引起有关学者的广泛兴趣。上世纪末至本世纪初,普热瓦尔斯基、别夫佐夫、罗布拉夫斯基等曾先后在新疆进行考察,斯文赫定和斯坦因曾对胡杨作过描述,谢彬曾论及胡杨的分布。1957至1958年间,中国科学院新疆综考队对塔里木盆地的环境和植被进行了大量的工作。此后     

A leakiness index for assessing landscape function using remote sensing

The cover, number, size, shape, spatial arrangement and orientation of vegetation patches are attributes that have been used to indicate how well landscapes function to retain, not ‘leak’, vital system resources such as rainwater and soil. We derived and tested a directional leakiness index (DLI) for this resource retention function. We used simulated landscape maps where resource flows over map surfaces were directional and where landscape patch attributes were known. Although DLI was most strongly related to patch cover, it also logically related to patch number, size, shape, arrangement and orientation. If the direction of resource flow is multi-directional, a variant of DLI, the multi-directional leakiness index (MDLI) can be used. The utility of DLI and MDLI was demonstrated by applying these indices to three Australian savanna landscapes differing in their remotely sensed vegetation patch attributes. These leakiness indices clearly positioned these three landscapes along a function-dysfunction continuum, where dysfunctional landscapes are leaky (poorly retain resources). This revised version was published online in July 2006 with corrections to the Cover Date.     

Spatio-temporal modelling of broad scale heterogeneity in soil moisture content: a basis for an ecologically meaningful classification of soil landscapes

We describe the classification of landscapes characterised bymineral soil using a model that calculates soil moisture availability on amonthly basis. Scotland is used as a case study area. The model uses potentialsoil moisture deficit, estimated using broad scale (40 × 40 km)climate patterns, in conjunction with meteorological station measurements toobtain finer scale values of climatic soil moisture deficit. Point estimates ofsoil available water are obtained for soil characteristics using appropriatepedotransfer functions, and geostatistical techniques are used to upscale theresults and interpolate to a 1-km grid. Known heterogeneityin soil physical characteristics is used to provide local corrections to thepotential soil moisture deficit, estimated using the climatic variables above.Temporal profiles of monthly water content are modelled for each1-km location and classified into six classes usingunsupervised cluster analysis. The spatial distribution of these classesreflects regional variations in the availability of moisture and energy, onwhich finer-grained topographic patterns are superimposed. In the case study,the broad scale spatial heterogeneity of heathlands and grasslands on mineralsoils in Scotland is shown to be strongly related to the soil moistureclassification. The results can be used in studies investigating the patternsofdistribution of communities at the landscape and regional scale.This revised version was published online in May 2005 with corrections to the Cover Date.     

Modelling land cover transitions: A solution to the problem of spatial dependence in data

Raster-based spatial land cover transition models (LCTMs) are widely used in landscape ecology. However, many LCTMs do not account for spatial dependence of the input data, which may artificially fragment the output spatial configuration. We demonstrate the consequences of ignoring spatial dependence, thus assigning probabilities randomly in space, using a simple LCTM. We ran the model from four different initial conditions with distinct spatial configurations and results indicated that, after 20 simulation steps, all of them converged towards the spatial configuration of the random data set. From an ecological perspective this is a serious problem because ecological data often exhibit distinct spatial configuration related to ecological processes. As a solution, we propose an approach (region approach) that accounts for spatial dependence of LCTM input data. Underlying spatial dependence was used to apply spatial bias to probability assignment within the model. As a case study we applied a region approach to a Vegetation Transition Model (VTM); a semi-Markovian model that simulates forest succession. The VTM was applied to approximately 500,000 ha of boreal forest in Ontario, at 1 ha pixel resolution. When the stochastic transition algorithms were applied without accounting for spatial dependence, spatial configuration of the output data became progressively more fragmented. When the VTM was applied using the region approach to account for spatial dependence output fragmentation was reduced. Accounting for spatial dependence in transition models will create more reliable output for analyzing spatial patterns and relating those patterns to ecological processes.This revised version was published online in May 2005 with corrections to the Cover Date.     

鸭疫里氏杆菌形态特征的电镜观察

自鸭传染性浆膜炎的病死鸭中分离鉴定的鸭疫里氏杆菌(RA)Ⅰ、Ⅱ型两个菌株，用负染法和超薄切片法制备样品，于透射电镜下进行观察。结果观察到约占1／3的RA具有特殊的形态结构：在细菌的顶端或侧面有1～2个与菌体相连的芽状赘生物，有的也能从菌体上脱落下来。它在超薄切片中的大小约为菌体的1／3～1／5，能观察到其内部也具有类似菌体内部的结构。且具有类似菌体的“细胞壁”，类似于核体部分的结构位于“细胞壁”的一侧。而用相同的方法制作的鸭大肠杆菌(E．cozi)对照样品，却见不到这种特殊的形态结构。说明这种形态特征可能是RA特有的。     

近15年新疆伊犁河谷草地退化时空变化特征

以伊犁河谷为研究区,利用MODIS NDVI数据及像元二分模型,反演草地植被覆盖度,以草地植被覆盖度为评价标准,结合数字高程模型(digital elevation model,DEM)数据及Getis-Ord Gi*冷/热点分析方法,对伊犁河谷2001-2015年草地退化的时空特征进行了分析。结果表明,1)受持续过度放牧及气候条件影响,2001-2015年伊犁河谷草地整体持续退化,15年内退化草地比例达46.18%,但退化以轻度为主;2)空间上退化草地的分布范围逐步向高海拔区域扩展,海拔1 500-3 000 m的中山和中高山区退化草地扩张最明显;3)草地生态保护政策的实施减缓了草地退化速度,草地退化与改善的空间差异逐渐明显,以退化为主的单一变化趋势有所改变;4)利用NDVI反演植被覆盖度对草地退化进行评价的方法存在对高植被覆盖区域草地退化敏感性相对较弱的缺陷。     

The value of vegetation cover for ecosystem services in the suburban context

Latin-American cities can be characterized by dynamic processes of urbanization that encroach upon the natural and semi-natural surrounding landscapes. Our study presents the effects of landscape development, transformed from semi-natural conditions into a mostly disperse suburban settlement. We explore the impact that this transformation has had on this context by three ecosystem services that regulate rainwater runoff, enhance microclimate conditions and help to improve air quality by monitoring vegetation cover. We have designed a spatio-temporal hierarchical analysis which employs remote sensing techniques to capture the structural changes of this landscape over long, medium and short term scales on two spatial levels. This methodological approach was tested in the Metropolitan Area of Santiago (MAS) as case study area. Despite of the increase in impervious surfaces due to urban processes, there has also been an increase in vegetation cover, which has led to an improvement in the provision of the above-mentioned ecosystem services. Hence, if diverse urbanization processes continue and they are coupled with an increase in vegetation cover, the provision of ecosystem services could also expand. This phenomenon can be observed in some areas, where public and private green spaces are created and maintained. Our data analyses give evidence that certain types of suburban areas which increase the share of vegetation cover can provide daily ecological benefits for urban neighborhoods, and beyond, for adjacent areas. Moreover, suburban development can successfully provide ecological benefits to citizens. Such processes can only be ecologically sustainable if the composition of vegetation is well-adapted to the regional climatic conditions.