云南纵向岭谷区道路网络对生态系统影响的尺度效应

云南纵向岭谷区具有复杂的生态系统,其生物多样性在全球中具有重要地位,但是由于人类活动的影响,尤其是道路网络的发展及其导致的土地利用变化,使得该地区生态系统退化日益严重.选取2km×2km、4km×4km、6km×6km、… \,20km×20km网格进行多尺度相关分析和方差分析,研究云南纵向岭谷区道路网络与生态系统分布的相关性及其独立和交互作用,分析道路网络对生态系统影响的尺度效应.然后又进一步研究了道路网络和地形因子(比如海拔、坡度和坡向等)对生态系统的独立和交互作用.研究结果表明,道路网络与生态系统分布的相关性与路网等级有关,其相关程度与路网等级呈反比,随着尺度的变化,道路网络与生态系统分布的相关性表现为增强型、减弱型、质变型和无尺度效应这4种类型.在大多数尺度下,道路网络和地形因子对生态系统分布既有独立作用,也有交互作用.其中,高等级路网的独立作用比较显著,而低等级路网的独立作用不太显著.但是,随着尺度的增大,县乡路网、乡村路网和小路网对生态系统分布的独立和交互作用均显著,且表现出高度的相似性,表明地形对低等级道路具有明显的干扰或屏蔽效应.     

道路及道路施工对若尔盖高寒湿地小型兽类及鸟类生境利用的影响

为考察道路和道路施工对若尔盖高寒泥炭湿地野生动物的影响,我们在穿过若尔盖湿地的2条道路两侧,对距道路不同距离的小型兽类和鸟类分布进行了调查,其中小型兽类调查深度距离公路800m,鸟类调查深度距离公路400m。施工中的国道213线路两侧黑唇鼠兔(Ochotonacurzoniae)洞穴高密度区域离道路更远,在道路两侧400m处达到峰值,极显著高于距离道路10m处的密度;而在正常运营中的省道209线两侧,其洞穴密度在200m处达到最高值,与其他距离的洞穴密度没有显著性差异。无论在国道213线还是省道209线,道路对高原鼢鼠(Myospalaxbaileyi)洞穴分布的影响均未达到显著性水平。在正常运营的省道209线两侧,高原鼢鼠土堆密度最高区域为距离道路100m处;而施工的道路两侧高原鼢鼠土堆密度最高区域则出现在距离道路10m处,第二高峰出现在距离道路400m处。雀形目和隼形目鸟类的分布均呈现距离道路越远密度越高的趋势,但是只有距离道路400m处雀形目鸟类的密度显著高于50m与200m处;距离道路不同距离的样线中隼形目鸟类密度和物种丰富度没有显著性差异。由此可以看出,施工中的道路对黑唇鼠兔的影响区域比正常运营的道路更宽,其公路效应域达到400m,400m的调查深度对鸟类尤其是隼形目鸟类来说可能还略有不足。但是,根据此深度的调查可以确定施工中的国道213线雀形目和隼形目鸟类的公路效应域宽度大于400m。     

Road effects on vegetation composition in a saline environment

Aims Road effects from maintenance and traffic have the potential to alter plant communities, but the exact relationships between these effects and changes in plant community composition have not often been studied in diverse environments. To determine the direction and level of community composition changes in saline environment due to road effects, we conducted a study along roads of different ages and in nearby non-road (i.e. natural) areas in the Yellow River Delta, China. Additionally, to potentially elucidate the mechanisms underlying the changes in the richness and composition of plant communities along roads, we evaluated physiochemical changes in soil of roadside and non-road areas.Methods Floristic and environmental data were collected along roadside of different ages and nearby non-road areas. To evaluate plant communities at each site, six 2 m × 2 m quadrats were placed at 3-m intervals along roads and six quadrats were arranged randomly in non-road areas. To determine the difference in plant community composition between roadside and non-road areas, we measured species richness and the abundance of each species, examined species turnover and floristic dissimilarity between the two areas and positioned plant species and sites in an abstract multivariate space. Plant community (species richness, percentage of halophytes) and soil physicochemical properties (pH, salinity, moisture content, bulk density, nitrate and ammonium nitrogen concentration) were compared between roadside and non-road areas (young roadside vs. corresponding non-road areas, old roadside vs. corresponding non-road areas) by using t -tests. Classification and ordination techniques were used to examine the relationship between vegetation and related environmental variables in both roadside and non-road areas.Important findings For both the young and old roadside areas, species richness in roadside areas was significantly higher than in non-road areas and high floristic dissimilarity values indicated that roadside and non-road areas differed greatly in community composition. In both the young and old roadside areas, the plant communities in roadside areas had lower percentages of halophytes than non-road communities. Correspondence analysis and two-way indicator species analysis showed that halophytes dominated in the non-road areas, while a number of typical non-salt-tolerant species dominated in the roadside areas. Compared to non-road areas, activities associated with roads significantly decreased soil moisture, bulk density and salinity and increased soil pH and nitrate content. Forward selection for the environmental variables in canonical correspondence analysis showed that soil salinity was the most important factor related to the variation of species composition between roadside and non-road areas. Our study demonstrates that road effects have a significant impact on the associated vegetation and soil, and these changes are consistent across roads of different ages in our system.     

Vegetation cover change and driving factors in Fujian Province between 1975 and 2014北大核心CSCD

Aims Fujian Province has been one of the most severe soil erosion regions since Ming and Qing Dynasty in China. Recently, several ecological restoration projects have been implemented and they have significantly changed vegetation cover in this region. Methods We analyzed the four-decade vegetation cover change in Fujian Province using seven time-series data of Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Operational Land Imager (OLI) between 1975 and 2014. We further explored the possible drivers on vegetation cover change by incorporating statistical data of plantation, cropland and urbanized area. Important findings Vegetation coverage in Fujian Province has increased from 69.0% to 77.8% between 1975 and 2014. However, a slight decrease was observed between 1995 and 2005. Spatially, forest was the primary vegetation type in the northwest, where croplands and human settlements were scattered along rivers or oceans. Shrubs and bare lands were also scattered across the northwest. In southwest, the areas of bare land, shrub land and cropland decreased, while areas of forest and human settlements expanded. The vegetation coverage and urbanized area increased at the cost of cropland and bare land.     

Suburbs: dangers or drought refugia for freshwater turtle populations?

Urbanization is one of the most rapidly expanding forms of habitat alteration worldwide. Wildlife differs in their responses to urbanization depending upon species and site-specific factors. We used capture-mark-recapture to examine the abundance, population demographics, growth, and movements of the eastern long-necked turtle (Chelodina longicollis) in Australia over 1 year in a suburban environment and an adjacent nature reserve during drought. Contrary to expectations, sex ratios, injury incidence, and frequency of juvenile size classes did not differ between turtles in the suburbs and the nature reserve. Moreover, turtles in the suburbs were nearly 3 times more abundant, grew 5 times faster, and had populations comprised of more adults in the larger size classes than nature reserve populations. These findings, together with net movements from the nature reserves into the suburbs, suggest that suburban water bodies were the higher quality habitat, effectively buffering turtles from temporal fluctuations in environmental conditions during drought. However, reserve managers and urban planners need to recognize that suburban water bodies have the potential to attract turtles from nearby reserves during drought, and that even low levels of persistent mortality during these travels across reserve boundaries may have consequences for populations of long-lived vertebrates. © 2011 The Wildlife Society.     

基于景观格局与过程的云南省典型地区道路网络生态效应

利用概率连接度指数的量化分析方法,分析了云南省典型地区道路网络对景观格局、生态过程以及景观功能的影响.结果表明：研究区道路网络加剧了区域景观的破碎化程度;道路网络对不同生态过程的迁移路径结构、数目以及分布的影响有所不同,影响程度随迁移扩散能力的增加而增加;道路网络总体上降低了景观维持生态过程连续性的功能（不同情景平均下降超过10%）,使各个斑块在景观中的功能退化（平均下降超过40%）,影响程度随迁移扩散能力的增加而增加.     

厦门市交通主干道绿化带结构及其减噪效果研究

通过对厦门市主干道绿化带种类结构调查以及噪声测定等,分析了厦门市主干道绿化带结构及其减噪效果。结果表明,厦门市主干道绿化带可分为4种结构:单一乔木型、乔木+疏灌木/绿篱型、乔木+密灌木型以及乔木+小乔木+灌木/绿篱型,带宽多在4~10 m。厦门市主干道绿化带总体减噪能力为0.93~12.96 dB,绿化带对交通噪声超标治理率达70%。绿化带减噪能力y(dB)与带宽x(m)呈显著的线性关系:y=1.2251x+0.2416(R²=0.8603);绿化带的附加衰减与总衰减亦呈显著正相关:y=0.4535x+0.2698 (R²=0.9242),噪声的附加衰减主要受绿化带结构的影响,上述四种结构对噪声附加衰减平均值分别达0.93、2.25、4.43和6.72 dB。绿化带的宽度和结构均是影响其减噪效果的关键因素。     

岷江上游土地利用/覆被变化及其驱动力

岷江上游具有自然环境的复杂性、生态系统的脆弱性、经济发展的边缘性、社会文化的过渡性等特性,其土地利用/土地覆盖变化的特点可以代表我国西南山地土地资源及利用中所存在的普遍问题.林地和草地是岷江上游地区的主要土地利用类型.从1974～2000年间各个土地利用类型均发生了不同程度的变化,林地面积持续减少,其它类型面积均有不同程度的增加.类型间的面积变化均为双向,主要发生在有林地、灌木林地、经济林地、草地、居民用地和耕地之间,且主要在林地和草地两个类型之间.其中1974～1986年的变化大于1986~2000年.人口和经济是该区土地利用变化的主要驱动因素.自实施天然林保护工程和退耕还林还草工程以来,该区土地利用状况有所好转,正在向好的方向发展.     

Methodologies for Surveying Herpetofauna Mortality on Rural Highways

Abstract: Road mortality can contribute to local and regional declines in amphibian and reptile populations. Thus, there is a need to accurately and efficiently identify hotspots of road-mortality for hazard assessment and mitigation. In 2002, we conducted walking and driving surveys throughout an extensive rural highway network in northern New York, USA, to evaluate survey methods and to quantify spatial and temporal patterns of herpetofauna road-mortality. In 2004, we repeated the surveys at a subset of locations to quantify interannual repeatability. Reptile and amphibian species had different peak periods of road-mortality because they differed in the causes of movements that resulted in crossings. Spatial locations of herpetofauna road-mortality were concentrated at a limited number of hotspots. Hotspots overlapped across species and were located at consistent locations across years. Results of walking and driving surveys were highly repeatable among survey teams, but driving surveys underestimated the density of road-mortality because many animals were missed. Detection failure was higher in some taxa (e.g., frogs) than others (e.g., turtles). Our results indicate that it is possible to design a valid, efficient methodology for locating hotspots of reptile and amphibian road-mortality along a road network and, thus, pinpoint priority sites for mitigation.     

A comparative evaluation of models of cinnabar moth dynamics

Summary 1. A complex model of cinnabar moth dynamics proposed by Dempster and Lakhani (1979) with 23 parameters is reduced to a single equation with five parameters, and the behaviour of the reduced model shown to explain most features of the full model. 2. The efficiency of the full model is compared with the reduced model and with two even simpler models (the two parameter discrete logistic and a four parameter model based on a step-function for mortality) in their abilities to describe time series data of cinnabar moth population densities from Weeting Heath. Models with more parameters were not significantly better than few-parameter models in describing population trajectories. 3. Models that included a driving variable (in this case observed rainfall data) were no better at describing the data than simpler models without driving variables. It appears, therefore, that the routine inclusion of driving variables may be counterproductive, unless there is compelling empirical or theoretical evidence of their importance and the mode of action of the driving variables can be modelled mechanistically. For example, the regression model used to describe the relationship between rainfall and plant biomass in Dempster and Lakhani (1979), breaks down if rainfall is assumed to be constant, because there is no explicit model for the regulation of plant biomass. 4. The parameter values of the cinnabar-ragwort interaction suggest that cinnabar moth dynamics may be chaotic. Whether or not field data exhibit chaos or environmental stochasticity (or a mixture of both) is impossible to determine from inspection of time series data on population density. There is an urgent need for experimental and theoretical protocols to disentangle these two sources of population fluctuation.