新疆喀纳斯树种丰富度垂直格局特征

采用样带调查法,通过直接梯度、变异函数和分形函数分析,对新疆喀纳斯旅游区内设置的3条样带的树种比例及树种丰富度沿海拔梯度的变异特征进行了研究。结果表明：直接梯度刻画的不同树种所占比例在海拔梯度上的变化趋势各异;树种丰富度在整个调查尺度范围内随海拔的升高呈现明显的下降态势（P＜0.01）;半方差分析揭示：树种丰富度在中小尺度范围内的空间异质性主要由空间自相关引起的变异组成;分维分析反映出树种丰富度的分形维数偏大,且在中小尺度范围内无拐点,说明树种丰富度受随机生态学过程的影响在相应尺度范围内具有很强的空间异质性。     

毛乌素沙地南缘沙漠化临界区域土壤水分和植被空间格局

应用地统计学和经典统计学方法,对毛乌素沙地南缘沙漠化临界区域土壤水分和植被特征的空间分布格局及其相互关系进行研究,结果表明: 0-5 cm和5-10 cm土壤水分符合指数模型,10-15 cm土壤水分和植物群落物种数、植被盖度、植被密度都符合球状模型;0-5 cm土壤水分、植物群落物种数和植被盖度都具有强空间自相关性,5-10 cm、10-15 cm土壤水分和植被密度都具有中等程度的空间自相关性;从牛枝子群落到黑沙蒿群落,各层土壤水分与植物群落物种数之间具有相似的空间格局,都呈先升高后降低的变化趋势,而植被盖度和植被密度呈逐渐减小的变化趋势;0-5 cm土壤水分与植物群落物种数之间具有显著的正相关,是制约植被物种空间分布的关键因素。     

鄂尔多斯高原沙地植被和两种优势克隆半灌木的空间格局

群落优势种重要值的变化可以表征植被的演替状况。研究了鄂尔多斯高原飞播后不同演替阶段的沙地植被 ,以及两种优势克隆植物羊柴 (H edysarum laeve)和油蒿 (Artemisia ordosica)种群的空间格局。结果表明 :在调查的尺度内 ,群落水平上 ,演替前期和演替中期的植被盖度空间自相关发生的尺度远小于演替后期。随着植被的演替和发育 ,小于抽样尺度 (<1m)的随机变异逐渐增加。暗示着植被盖度空间格局的变化与羊柴种群和油蒿种群在群落中的地位的变化有关。种群水平上 ,小尺度的空间自相关控制着羊柴种群在 3个演替阶段的空间格局 ;处于前 2个演替阶段的油蒿种群 ,空间格局受更大尺度的过程控制 ,并在自身为建群种的群落随机分布。对于 3个演替阶段的油蒿种群而言 ,发生在小于抽样尺度 (<1m)的随机变异都高于相应的羊柴种群。这两种克隆半灌木的种群空间格局的差异可能与二者克隆构型和克隆性的不同有关。本文还根据这两种植物的生物学特性探讨了二者对鄂尔多斯高原沙地植被恢复的不同作用     

鄂尔多斯植被盖度分布与环境因素的关系

 从植被指数分布与气象因素、地质地层和地质水文的关系入手, 利用遥感解译和地理信息系统的空间分析功能, 分析了不同尺度下, 气候因素、地质水文因素、基质和地貌等对鄂尔多斯高原植被盖度分布的影响。指出: 在区域尺度上, 研究区植被盖度分布主要受降水影响, 植被盖度呈从东南到西北逐渐减少的趋势; 高盖度植被主要分布在冲洪积地貌和丘陵地貌区。局部分析, 库布齐沙漠东向延伸的存在与发展与区域型断层的存在有密切的联系; 毛乌素沙地中的高盖度植被分布受地形和基质岩性组合的综合影响, 主要分布在第四系湖积物和第四系冲积物等渗水性差的基质上, 尤其集中分布于凹陷的湖相沉积。     

毛乌素沙地景观的植被与土壤特征空间格局及其相关分析

以毛乌素沙地景观不同尺度和生境中的植被盖度、植物物种数、土壤有机碳和全氮含量的空间格局和相互关系进行了研究。结果表明：不同尺度和生境中的植被盖度与植物物种数之间,以及土壤有机碳含量与全氮含量之间都具有显著的相关。在50－5000m的尺度上,植被盖度与植物物种数之间,以及土壤有机碳含量与全氮含量之间具有相似的空间格局,但植被特征（植被盖度与植物物种数）与土壤特征（土壤有机碳含量与全氮含量）具有不同的空间变化格局,两者之间没有显著的相关关系;在小于50m的尺度上,固定沙丘中的植物物种数与土壤有机碳和全氮含量之间具有显著的正相关,半固定水丘中的植物物种数与土壤有机碳含量具有显著的负相关。这说明,在小于50m的尺度上土壤有机碳和全氮含量格局制约了植被格局,但在50－5000m的尺度上却没有。这一研究表明植被与土壤之间的相互关系依赖于不同的空间尺度。     

干旱地区山地荒漠草原阴坡植物群落空间异质性

在样线调查基础上 ,以 Shannon- Wiener指数 ,群落盖度 ,DCA排序轴为区域化随机变量 ,应用半方差、分形分析等方法 ,对干旱地区山坡植物群落空间异质性进行了研究。结果表明 ,在整个山坡尺度上植被格局的空间异质性不大 ,小尺度上植被格局的空间异质性较大 ,尺度依赖性较强 ,不同群落类型的空间格局不同 ,随尺度变化的规律也不一样。严重放牧干扰强烈影响干旱山地植物群落的空间格局 ,生境中的牧道格局 ,斑块格局使山坡植物群落多样性空间异质性更加复杂 ,牧道效应是导致群落空间格局周期性振荡的重要因子。去势对应分析 (DCA)排序第一轴特征值体现了综合生态因子对群落格局作用的结果 ,DCA第二轴半方差变化包含了大量信息 ,其变化具有周期性。群落多样性空间格局强烈影响着干旱山地生态系统的各种生态学过程 ,这些作用机制有待进一步研究     

内蒙古荒漠草原植被盖度的空间异质性动态分析

利用半方差函数分析法对内蒙古荒漠草原生长盛期(6—8月)的植被盖度时空变异特征的研究表明,荒漠草原生长盛期的植被盖度半方差函数形态符合指数模型,但函数曲线的形态和各参数在不同月份变化较大。其中,6月的植被盖度变程最大,达到100 m;7月植被盖度的半方差函数形态具有巢式等级结构;8月植被盖度的变程最小,仅为15 m,但空间变异程度最高。3个月的结构比介于72%—85%,具有较强的空间自相关。各向异性分析表明,6月植被盖度在135°方向的半方差函数值明显低于其它3个方向(0°、45°、90°),具有各向异性特征;而7月和8月植被盖度的各向异性比接近于1,表现为各向同性。研究结果表明,荒漠草原植被盖度空间异质性的时间动态不容忽视,在野外采样或制图时,要根据时间合理控制采样范围。     

毛乌素沙地油蒿群落的循环演替

流动沙地→半流动沙地白沙蒿群落→半固定沙地油蒿＋白沙蒿群落→固定沙地油蒿群落→固定沙地油蒿＋本氏针茅＋苔藓群落→地带性的本氏针茅草原及其迅速沙化的植被发展过程是毛乌素沙地植被自发演替的基本过程。油蒿具有耐沙埋、抗风蚀、耐土壤贫瘠等特性,是该地区最主要的优良固沙植物和重要牧草。半固定、固定沙地池蒿群落在毛乌素沙地的生态环境保护和农牧业生产方面发挥着极其重要的作用,维持其稳定十分重要。然而,其沙化的现     

祁连山青海云杉林群落结构的空间异质性

以动态监测样地(340 m×300 m)的网格(5 m×5 m)为基本单元,选择5个群落结构属性变量,采用分形几何学和地统计学方法对祁连山大野口流域青海云杉林群落结构的空间异质性进行研究.结果表明: 青海云杉林5个结构属性的变异程度大小依次为:密度＞平均冠幅＞显著度＞盖度＞平均树高,变异系数为43.7%～79.6%.Moran I系数表明,各个结构属性均有不同程度的空间自相关性,自相关大小顺序为:密度＞平均树高＞盖度＞平均冠幅＞显著度,变化范围为-0.047～0.382.指数理论变异函数模型能很好地拟合不同结构属性的空间变异,变程为24.6～68.1 m,各属性变量的结构比除盖度表现为中等空间相关,其他指标均为强烈空间相关,各属性指标分维数接近2,空间依赖性较小.植被密度和盖度空间分布呈带状结构和斑块结构叠加的特点,其他指标呈较强的斑块状空间结构,密度和盖度对平均冠幅、显著度和平均树高有一定的空间依赖性.青海云杉林群落结构空间异质性适宜的采样间隔和采样面积分别为10 m和0.5 hm².     

北京东灵山地区植物群落多样性研究 Ⅹ.不同尺度下群落样带的β多样性及分形分析

选取不同尺度,采用β多样性指数和分形分析方法对东灵山暖温带森林样带上群落多样性随海拔梯度的空间变异规律进行了研究。结果表明,１）Ｃｏｄｙ指数揭示出乔木层在取样尺度２０ｍ和灌木层在取样尺度８０ｍ时,随海拔梯度变化呈明确的物种替代规律性;乔木层和灌木层在同一地点的物种替代速率具有互补性;群落多样性的空间变异在样带的起始（山底）和终止（山顶）地段较高。２）笔者提出的群落结构变异（ＣｏｍｍｕｎｉｔｙＳｔｒｕｃｔｕｒｅＶａｒｉａｔｉｏｎ,ＣＳＶ）指数介于０～１之间,作为Ｃｏｄｙ指数的改进,它对群落多样性沿环境梯度变化的揭示更接近于实际情况;ＣＳＶ指数分析显示乔木层在＞４０ｍ取样尺度,灌木层＞２０ｍ取样尺度群落结构出现明确变异规律;物种丰富度（Ｃｏｄｙ指数）和群落结构（ＣＳＶ指数）变化规律性的表现尺度（取样尺度）不同。３）分形分析的结果,乔木主林层在２００ｍ内不同尺度间不存在相关规律,乔木更新层只在＜４０ｍ尺度显示出尺度依赖性,灌木层的尺度依赖特征则表现为小尺度变异显著而较大尺度上变异程度降低;乔木更新层与灌木层的异质性规律发生显著变化（拐点）的尺度不同,分别为４０ｍ和９０～１００ｍ。同时,还对群落学研究中的取样尺度问题进行了探讨。     

保安湖-湖湾大型水生植物群落格局的研究

用地质统计学中的半方差和双对数半方差图对保安湖－湖湾（黄风口）的大型水生植物群落格局进行了研究,在不同的尺度上对群落及其主要组成种类的空间异质性进行了定量的描述。结果表明：保安湖黄风口大型水生植物群落的双对数半方差图存在线性区域,群落具有分形特征（自相似性）。在不同的尺度下,群落和各组成种类空间格局具有不同的分形维数值,异质性程度存在差异。但其异质性程度不高,建议进行群落调查时,样方尺度应取５２０     

放牧和刈割条件下草山草坡群落空间异质性分析

采用变异矩分析和分形方法,研究了草山草坡群落在放牧和刈割条件下的空间异质性及空间自相关性,结果表明,群落空间格局有尺度依赖性,刈割条件下空物异质性及空间相关性弱,多样性梯度即β多样性小,放牧消除地形引起的样地差异,因而使空间异质性简单化。     

Spatial patterns and scaling behaviors of Steller sea lion (Eumetopias jubatus) distributions and their environment

Fractal geometry and other multi-scale analyses have become popular tools for investigating spatial patterns of animal distributions in heterogeneous environments. In theory, changes in patterns of animal distributions with changes in scale reflect transitions between the controlling influences of one environmental factor or process over another. In an effort to find linkages between Steller sea lions (Eumetopias jubatus) and their environment, the objective of this study was to determine if the spatial distribution of Steller sea lions at sea displayed similar scaling properties to the variation of two environmental features, including bathymetry and sea surface temperature (SST). Additionally, distributions of Steller sea lion point patterns were examined with respect to measurements of bathymetric complexity. From February 2000 to May 2004, satellite transmitters were deployed on 10 groups of juvenile Steller sea lions (n=52) at eight different locations within the Aleutian Islands and Gulf of Alaska. Indices of fractal dimension were calculated for each group of sea lions using a unit square box-counting method, whereas indices of bathymetry and SST patchiness were derived by conducting a variance ratio analysis over the same scales. Distributions of Steller sea lions at sea displayed self-similar fractal patterns, suggesting that individuals were distributed in a continuous hierarchical set of clumps within clumps across scales, and foraging behavior was likely influenced by a scale invariant mechanism. Patterns of bathymetric variability also were self-similar, whereas patterns of SST variability were scale dependent and failed to retain self-similar spatial structure at larger scales. These results indicate that the distributions of Steller sea lions at sea were more influenced by bathymetry than SST at the scales examined, but scale-dependent patterns in the distribution of Steller sea lions at sea or linkages with SST may have been apparent if analyses were conducted at finer spatial scales.     

绿洲-荒漠过渡带景观的植被与土壤特征要素的空间异质性分析

采用变异函数的理论和方法,通过空间异质性特征比较,研究了阜康绿洲-荒漠过渡带景观中的植被盖度和土壤环境因子的空间异质性、空间格局及其关系．在此基础上,应用Kriging局部块段插值法,以三维图形显示出各个要素的空间分布格局．结果表明,除土壤全盐量空间相关性较弱外,其他各要素具有中等程度以上的空间相关性,且空间变异主要发生在较小尺度上．其中,植被盖度的空间异质性程度较高,在3km的尺度内具有明显的空间格局．从空间分布格局看,植被盖度、土壤表层含水量和土壤pH值沿样带相邻点差异对比明显,高值区和低值区交错．草本盖度与土壤表层含水量、土壤pH间有相关关系,灌木平均盖度主要依靠深层次地下水维系．灌木和草本盖度的块金值具有明显差异,可能因为二者要求不同的生态条件,因而在同等尺度上具有不同的生态学过程．     

两个林分水曲柳土壤种子库空间格局的定量比较

依据地统计理论和方法,采取规则网格数据结构的空间取样设计,在树种组成、林分密度及林下植被等均不相同的两个林分中设置样地,对水曲柳土壤种子库的空间格局进行了定量比较研究．结果表明,在水曲柳杨树等混生的样地1,种子库密度较大(158．1±96．7个·m^-2),异质性程度较高(C0+C＝0．549),格局尺度相对较大(4．52m),空间自相关因素引起的变异高达89．4％,随机变异仅占10．6％,格局变异呈现较高的自相似性(分数维值D＝1．728—1．865)．在水曲柳纯林中的样地2,种子库密度较小(57．4±44．7个·m^-2),异质性程度较低(C0+C＝0．125),且主要体现在相对较小的尺度范围内(2．59m),空间自相关变异占56．8％,随机因素对空间格局的影响较大(D＝1．906—1．960)．两样地之间种子库空间格局表现的尺度范围、强度及空间结构等有显著差异,林分空间异质性是导致这种差异的主要原因．     

黄河三角洲夏季典型田块土壤盐分的多尺度空间变异

土壤盐渍化严重阻碍黄河三角洲农业经济发展,掌握田间多尺度下土壤盐分的空间变异性特征对于盐渍土改良利用和农业生产有重要意义。选取黄河三角洲垦利区代表性夏季玉米田块,划分为大田、地块、垄间3个尺度,通过实地调查采样获取152 组电导率数据,运用经典统计学、地统计学和克里格插值方法,分析多尺度下田块土壤盐分的空间变异性特征及其尺度效应。结果表明: 试验区土壤为中度盐渍化,土壤盐分在3种尺度下均呈中等强度变异,从大田、地块到垄间,随着采样尺度的减小,土壤盐分的变异性趋强、标准差增大;垄间和地块尺度表现为强空间相关性,最优拟合模型为高斯模型,主要受结构性因素影响,大田尺度为中等空间相关性,最优拟合模型为指数模型,受随机性因素和结构性因素共同影响;不同尺度土壤盐分的空间分布特征有明显差异,小尺度的空间特征在大尺度下被掩盖,存在明显的尺度效应;垄间微域尺度下土壤盐分分布变异明显,土壤含盐量随微地貌由高到低、植被覆盖由疏至密而逐渐降低。     

Fractal geometry: a tool for describing spatial patterns of plant communities

Vegetation is a fractal because it exhibits variation over a continuum of scales. The spatial structure of sandrim, bryophyte, pocosin, suburban lawn, forest tree, and forest understory communities was analyzed with a combination of ordination and geostatistical methods. The results either suggest appropriate quadrat sizes and spacings for vegetation research, or they reveal that a sampling design compatible with classical statistics is impossible. The fractal dimensions obtained from these analyses are generally close to 2, implying weak spatial dependence. The fractal dimension is not a constant function of scale, implying that patterns of spatial variation at one scale cannot be extrapolated to other scales.     

Does macrophyte fractal complexity drive invertebrate diversity,biomass and body size distributions?

Habitat structure is one of the fundamental factors determining the distribution of organisms at all spatial scales, and vegetation is of primary importance in shaping the structural environment for invertebrates in many systems. In the majority of biotopes, invertebrates live within vegetation stands of mixed species composition, making estimates of structural complexity difficult to obtain. Here we use fractal indices to describe the structural complexity of mixed stands of aquatic macrophytes, and these are employed to examine the effects of habitat complexity on the composition of free-living invertebrate assemblages that utilise the habitat in three dimensions. Macrophytes and associated invertebrates were sampled from shallow ponds in southwest England, and rapid digital image analysis was used to quantify the fractal complexity of all plant species recorded, allowing the complexity of vegetation stands to be reconstructed based on their species composition. Fractal indices were found to be significantly related to both invertebrate biomass–body size scaling and overall invertebrate biomass; more complex stands of macrophytes contained a greater number of small animals. Habitat complexity was unrelated to invertebrate taxon richness and macrophyte surface area and species richness were not correlated with any of the invertebrate community parameters. The biomass–body size scaling relationship of lentic macroinvertebrates matched those predicted by models incorporating both allometric scaling of resource use and the fractal dimension of a habitat, suggesting that both habitat fractal complexity and allometry may control density–body size scaling in lentic macroinvertebrate communities.     

The persistent spatial patchiness of limpet grazing

The characteristic variability of grazing has potential consequences for intertidal productivity and community structure, particularly as many of the underlying functional relationships are thought to be non linear. As a first approximation, it can be hypothesised that grazing is patchy over short time periods before a more uniform coverage is established over longer time scales. This prediction is supported by relatively short term observations previously made of limpet foraging. We used eight arrays of wax disks on each of four shores to test the hypothesis that grazing is patchy in the short term, but that this pattern is lost as the pattern of grazing averages out over longer time scales. Wax disk arrays were exposed for two weeks at a time for a period of six weeks in 2001 and in 2002 using the same set of disk holes each time. Grazing at the same disk location could therefore be measured over two weeks and over longer periods by averaging successive deployments. We used all three successive deployments to estimate the average grazing at each disk location over a six week period in 2001 and 2002. All six deployments were used to characterise the pattern of grazing at longer time scales. The spatial pattern of grazing in arrays was summarized using semivariogram analyses. For two-week deployments, the average standardized semivariance of grazing for disks separated by 20 cm was less than one. This pattern implies spatial autocorrelation of grazing at this scale. There was no support for the hypothesis that small scale patchiness in grazing would disappear over time. The average strength of spatial autocorrelation increased when data were integrated over longer periods. A preliminary analysis indicated that the degree of autocorrelation within arrays increased with grazing intensity at short time scales. Surface roughness disrupted autocorrelation of grazing over both short and long time scales. The persistent patchiness of grazing is likely to have implications for biofilm productivity, particularly on smoother shores.