小波分析方法在心叶驼绒藜(Ceratoides ewersmanniana)空间格局尺度推绎研究中的应用

以古尔班通古特沙漠南缘莫索湾沙地选取相隔15km的两个200m×200m样地,以建群种心叶驼绒藜(Ceratoides ewersmanniana)及其生境地形为研究对象,应用小波分析定量研究了多尺度上空间格局的推绎以及空间异质性、空间格局依赖于尺度的变化关系。研究发现：小波分析尺度由1(5m)变化到4(20m)时,两个样地小尺度上的异质性和格局被合并到更大的尺度上,当小波分析的尺度大于等于5(25m)时,两个样地的格局变化平稳,对应地形（丘顶、丘坡、丘底）的基频稳定在110m左右,心叶驼绒藜的数量动态变化周期稳定在115～125m之间。结果表明：小波分析对信号整体特征的提取作用实现了小尺度上的信息到大尺度上的聚合。结合小波分析对信号突变点的检测,利用位置方差检验局部空间异质性程度,发现位置方差将大尺度上的格局分解到每个取样小样方,位置方差最大的地点对应的异质性也最强,实现了大尺度上的信息到小尺度上的分解。总结认为应用小波分析可以实现对空间格局的尺度推绎,具有对植被、环境的分布格局以及异质性有双重度量作用,由小波系数以及由其衍生的小波方差、位置方差来实现这种度量,图形表现直观,优越性明显。     

北京东灵山土壤动物多样性海拔格局的尺度推绎规律

识别群落内部各类群多样性格局的复杂性是生态学家面临的挑战,而尺度推绎规律是揭示复杂生态结构的有效途径之一.本研究利用多重分形的方法探索了不同海拔土壤动物多样性格局的尺度推绎规律,对比分析了凋落物层和土壤层之间多重分形谱的差异.结果 表明:与之前对植物群落的分析结果相似,土壤动物多样性尺度推绎规律同样具有幂律特征,如丰富...     

IKONOS影像景观格局特征尺度的小波与半方差分析

建立不同方向和尺度下景观格局的小波分析方法,并以IKONOS PAN 1m 影像为例,对城市景观和农田景观格局进行了实例研究,并与半方差函数的分析结果进行比较分析。试验结果发现试验区的城市景观图像表现出不同层次和方向的结构特征,主要是阴影－单个楼房－楼房与道路的组合3个尺度的特征,分别出现在2m,16m和128m以及256m分析尺度上,农田景观主要是树木行－农田2个层次和方向尺度特征组合,分别为2m,128m和256m。半方差分析结果对试验区景观结构的多层次和方向不敏感,但可发现景观结构的总体平均特征。城市景观总体结构在空间上的变程为135m,反映的是楼房与道路组合的总体平均特征;农田景观总体结构在空间上的变程为152m。通过改变半方差函数的分析范围和计算间距可以克服半方差对多尺度分析的不足,如该试验通过缩小城市景观和农田分析范围,也发现城市景观有一个在空间结构上15m的变程,与小波分析的特征尺度16m非常接近,而农田景观出现空穴效应的周期一半长度大约为2m,正好是小波分析出种植树木的行距结构特征尺度的大小。这要分析者对研究有一定的先验知识才能够做到选择合适的分析范围,而这恰是景观格局特征尺度分析服务的目的。通过试验区研究证明小波分析是一非常有应用前景的景观格局研究方法,与半方差分析相比,对在解释多尺度结构和不同方向的结构具有明显的优势,且不受分析数据统计平稳假设的约束,但由于对图像分解是基于2进制,导致分析尺度以2的幂函数变化,不像半方差分析可通过理论模型拟合,对特征尺度的估计可以是连续的。     

甘肃永登县土地利用景观格局的空间尺度效应

依据“斑块-廊道-基质”模式,研究了甘肃省兰州市永登县景观格局的空间尺度效应.结果表明:草地为整个研究区景观结构的基质;廊道包括道路和河流;其余景观组分(耕地、林地、园地,住宅用地、工矿用地、公共管理与服务用地和其他土地)均为斑块.斑块类型水平指数与景观水平指数均表现出明显的空间幅度依赖性.不同景观组分的斑块类型指数的尺度效应在不同幅度区间存在差异性,景观水平指数的尺度效应在不同幅度区间也存在差异性.在1～20 km幅度区间,尺度效应的组分类型、指标类型之间差异最为明显;在21～90 km幅度区间,尺度效应的组分类型、指标类型之间差异较小;在>90 km幅度后,尺度效应消失.90 km×90 km为研究景观格局尺度依赖性的有效幅度.     

生态学中的尺度问题——尺度上推

尺度推绎是生态学理论和应用的核心。如何在一个异质景观中进行尺度推绎仍然是一个悬而未决的科学难题,是对当今生态学家在全球变化背景下研究环境问题的重大挑战。就目前的研究,一般可分为四大类尺度推绎途径:空间分析法(如分维分析法和小波分析法)、基于相似性的尺度上推方法、基于局域动态模型的尺度上推方法、随机(模型)法。基于相似性的尺度上推方法来源于生物学上的异量关联,可将其思想延伸至空间上,研究物种丰富度、自然河网、地形特征、生态学格局或过程变量和景观指数等。基于局域动态模型的尺度上推方法需要首先确定是否进行跨尺度推绎,以及是否考虑空间单元之间的水平相互作用和反馈,然后再应用具体的方法或途径,如简单聚合法、有效值外推法、直接外推法、期望值外推、显式积分法和空间相互作用模拟法等。随机(模型)法以其它尺度上推方法为基础,根据研究的是单个景观,还是多个景观,采用不同的途径。理解、定量和降低尺度推绎结果的不确定性已经变得越来越重要,但相关研究仍然极少。以上所有有关尺度推绎的方法、途径和结果分析共同构成了尺度推绎的概念框架。     

林木空间分布格局分析方法

采用5块实地调查样地和30块模拟样地,通过基于Ripley K-函数的L-函数、双相关函数和角尺度方法在林木空间分布格局研究中的比较分析,得出如下结论:双相关函数和角尺度在判断的准确性方面优于L-函数;角尺度在有效性和可行性方面比L-函数和双相关函数更强,并且它能利用角尺度分布图和均值同时作定性和定量分析,从而使其优势更加明显。     

GIS在野生动物空间分布格局研究中的应用

地理信息系统(GIS)在绘制动物分布图、确定物种丰富度、预测动物的空间分布格局、建立物种分布数据库等方面都有极大的应用价值。本文介绍了GIS技术在野生动物空间分布格局研究中的应用,并探讨了今后GIS技术在野生动物生态学领域的应用前景。     

空间分析方法在微生物生态学研究中的应用

微生物生态正在受到越来越多的关注,对其研究也渐趋深入。然而由于微生物个体微小的特点及研究手段的限制,多数研究还停留在探索阶段,研究方法也在不断完善当中。近年来,较多的研究开始探讨空间因素在微生物多样性和分布中的影响,对空间分布的探讨有助于更好地认识生态过程,是一种有力的研究手段。微生物空间分析方法已经成为微生物生态学领域中重要的研究方向之一,我国空间方法在微生物生态研究中的应用还没有得到普遍的重视。从不同研究角度出发,结合空间统计的作用,对空间统计方法在微生物生态研究中的应用的必要性及现状做了评述。介绍了空间自相关性的检验,方差图,Mantel检验,Kriging插值等方法在微生物生态研究中的应用,并论述了微生物研究中的尺度问题。这一梳理,对丰富微生物生态学研究中的新方法、新手段具有一定价值。     

基于样带的唐古特白刺灌丛沙包空间格局尺度研究

黄河河岸与库布齐沙漠之间生态过渡带上的唐古特白刺(Nitraria Tangutorum)灌丛沙包由于遭受到不同程度的破坏而表现出一定程度的退化,空间格局尺度从一定程度上表征了其破碎化程度。我们分别应用样方方差法,小波分析,分维,谱分析以及空隙度分析等方法对鄂尔多斯高原北缘唐古特白刺灌丛沙包的空间格局尺度进行了比较研究,旨在选出适合分析干旱半干旱区白刺灌丛沙包空间格局尺度的方法,并确定研究区内唐古特白刺灌丛沙包的空间格局尺度,为保护唐古特白刺灌丛沙包提供科学依据。结果表明:(1)TTLQV法得到的格局尺度过大,而小波分析得到的格局尺度过小,分维分析得到的格局尺度除了相对较小之外,趋势也不明显,因此都不适合分析干旱半干旱区白刺灌丛沙包的空间格局尺度;(2)而3TLQV,tQV,谱分析和空隙度分析所得到的结果则相对容易接受,其大小顺序是:3TLQV>tQV>空隙度分析>谱分析;(3)独贵塔拉、呼和木独和巴拉贡唐古特白刺灌丛沙包的空间格局尺度分别为16.7～27.1m,10.2～25.0m和8.8～17.0m,这一结果将有助于在今后的研究中合理地确定研究范围和尺度。     

不同空间尺度的景观格局对流溪河水质的影响

为探究不同空间尺度的景观格局对流溪河水质的影响,于2020年6月和2021年1月在流溪河干流15个采样点进行了水样的采集,测定了水温、溶解氧、pH、氨氮、硝态氮、硫酸盐和氯化物等水质指标。结合遥感解译所得的土地利用数据,提取了不同空间尺度(子流域和河岸带缓冲区)的景观格局指数,采用Bioenv分析、Mantle检验、方差分解和层次分割理论等方法揭示了景观格局对水质变化的影响。研究结果表明：氨氮是流溪河的主要污染物。土地利用结构与空间格局特征对水质的影响存在空间尺度效应。在100 m河岸带缓冲区,水域是影响水质的主要贡献源;而在其他空间尺度建设用地是影响水质的主要贡献源。在子流域尺度,林地和建设用地的斑块密度(PD指数)是影响水质变化的核心特征;而在河岸带缓冲区尺度,水域和建设用地的连通性(CONTAG指数)和林地的多样性(SHDI指数)是影响水质变化的关键特征。在各个空间尺度,土地利用与空间格局的交互作用对驱动水质变化起主导作用,尤其在1000 m河岸带缓冲区对水质的贡献率最高。因此,加强1000 m缓冲区尺度土地利用的管理和减少建设用地成片建设规划等对保护流域水质具有重要意义。     

Ecological application of wavelet analysis in the scaling of spatial distribution patterns of Ceratoides ewersmanniana

Ecological experiments are usually conducted on small scales, but the ecological and environmental issues are usually on large scales. Hence, there is a clear need of scaling. Namely, when we deal with patterns and processes on larger scales, a special connection needs to be established on the small scales that we are familiar with. Here we presented a wavelet analysis method that could build relationships between spatial distribution patterns on different scales. With this method, we also studied how spatial heterogeneity and distribution patterns changed with the scale. We investigated the distribution and the habitat of C. ewersmanniana in two plots (200 m × 200 m; the distance between these two plots is 15 km) at Mosuowan desert. The results demonstrated that spatial heterogeneity and distribution patterns were incorporated into larger scales when the wavelet scale varied from one (5 m) to four (20 m). However, if the wavelet scale was above five (25 m), the spatial distribution patterns varied placidly, the oscillation frequency of landforms stabilized at 110 m, and the dynamic quantity period of C. ewersmanniana stabilized at 115–125 m. We also identified signal mutation points with wavelet analysis and verified the heterogeneity degree of local space with position variance. We found that position variance decomposed the distribution patterns on large scales into small sampling plots, and the position with the largest variance also had the strongest heterogeneity. In a word, the wavelet analysis method could scale-up spatial distribution patterns and habitat heterogeneity. With this method and other methods derived from this one, such as wavelet scale, wavelet variance, position variance and extremely direct-viewing graphs, wavelet analysis could be widely applied in solving the scaling problem in ecological and environmental studies.     

Responses of species abundance distribution patterns to spatial scaling in subtropical secondary forests

To quantify and assess the processes underlying community assembly and driving tree species abundance distributions(SADs) with spatial scale variation in two typical subtropical secondary forests in Dashanchong state‐owned forest farm, two 1‐ha permanent study plots (100‐m × 100‐m) were established. We selected four diversity indices including species richness, Shannon–Wiener, Simpson and Pielou, and relative importance values to quantify community assembly and biodiversity. Empirical cumulative distribution and species accumulation curves were utilized to describe the SADs of two forests communities trees. Three types of models, including statistic model (lognormal and logseries model), niche model (broken‐stick, niche preemption, and Zipf‐Mandelbrodt model), and neutral theory model, were estimated by the fitted SADs. Simulation effects were tested by Akaike's information criterion (AIC) and Kolmogorov–Smirnov test. Results found that the Fagaceae and Anacardiaceae families were their respective dominance family in the evergreen broad‐leaved and deciduous mixed communities. According to original data and random sampling predictions, the SADs were hump‐shaped for intermediate abundance classes, peaking between 8 and 32 in the evergreen broad‐leaved community, but this maximum increased with size of total sampled area size in the deciduous mixed community. All niche models could only explain SADs patterns at smaller spatial scales. However, both the neutral theory and purely statistical models were suitable for explaining the SADs for secondary forest communities when the sampling plot exceeded 40 m. The results showed the SADs indicated a clear directional trend toward convergence and similar predominating ecological processes in two typical subtropical secondary forests. The neutral process gradually replaced the niche process in importance and become the main mechanism for determining SADs of forest trees as the sampling scale expanded. Thus, we can preliminarily conclude that neutral processes had a major effect on biodiversity patterns in these two subtropical secondary forests but exclude possible contributions of other processes.     

三叶斑潜蝇幼虫种群空间格局及抽样技术研究

三叶斑潜蝇Liriomyza trifolii是我国重要的园艺及蔬菜害虫,研究三叶斑潜蝇种群的空间格局和抽样技术,可为该虫的危害调查与防治提供理论依据。应用Iwao m*-m回归分析法、Taylor的幂法则及6个聚集指标,对三叶斑潜蝇幼虫在番茄和豇豆上的空间分布型和抽样技术进行了研究,并做了影响因素分析。结果表明:三叶斑潜蝇幼虫在番茄和豇豆上均呈聚集分布,分布的基本成分是以个体群形式存在,通过分布型参数,采用Kc法、Iwao法及Taylor幂法计算出了在不同精度下三叶斑潜蝇田间的理论抽样数。     

陷阱法调查棉田蜘蛛的分布动态

采用陷阱法系统调查棉田各发育期的蜘蛛群落分布型,运用5种聚集度指标、Taylor的幂法则以及m*--x的回归关系综合分析。结果显示:(1)陷阱法所采集的蜘蛛绝大多数为游猎型蜘蛛。(2)棉田游猎性蜘蛛群落在整个棉花发育期都呈随机分布。     

下辽河平原景观格局脆弱性及空间关联格局

以东北三省开发强度最大的辽河中下游地区——下辽河平原为研究对象,根据景观格局脆弱性的概念及内涵,通过景观敏感度指数和景观适应度指数构建景观格局脆弱度指数,并借助地统计学和空间自相关模型分析的理论方法,对下辽河平原景观格局脆弱度的空间分布特征、变异规律以及空间关联格局进行探讨,结果表明:①1989—2010年下辽河平原景观格局脆弱度总体上呈递减趋势;②1989—2010年研究区景观格局脆弱度Moran's I表现为一定程度的正相关,且相关程度略微呈下降趋势;③1989—2010年研究区景观格局脆弱度局部空间自相关和显著性水平均发生了明显的变化;④研究区各时期景观格局脆弱度的空间相关性是受结构性因素和非结构性因素共同影响,C0所占的比例在3a期间有逐步上升趋势,表明非结构性因素对景观格局脆弱度演变的影响程度不断加深,但是结构性因素(地形地貌、水文、土壤植被类型等)仍然对本区景观格局脆弱度的空间分布起决定性作用。     

Regeneration pattern analysis of Quercus Iiaotungensis in a temperate forest using two-dimensional wavelet analysis

This paper introduces the two-dimensional (2D) wavelet analysis as a general interrogative technique for the detection of spatial structure in lattice data. The 2D wavelet analysis detects components of hierarchical structure and displays the locational information of the components. Patches and gaps of different spatial scales in graphical presentation of wavelet coefficients can be linked to the local ecological processes that determine patterns at stand or landscape scales. Derived from the 2D wavelet transform function, the calculation of wavelet variance can reduce the four-dimensional data of wavelet coefficients to a two-dimensional wavelet variance function and quantify the contribution of the given scale to the overall pattern. We illustrate the use of the 2D wavelet analysis by analyzing two simulated patterns and identifying the regeneration pattern of the Quercus liaotungensis in a warm temperate forest in north China. Our results indicate that the recruitment of Q. liaotungensis occurs in an overlapping area between the patch of adult and canopy gap at scales of 45m×45m-70m×70 m and 20m×20m-30m×30m. The regeneration pattern of Q. liaotungensis can be mainly ascribed to a trade-off between two ecological processes: recruitment around parent trees and the physiological light requirements of seedlings and saplings. Our results provide a general portrayal of the regeneration pattern for the dispersal-limited and shade-intolerant Quercus species. We find that the two-dimensional wavelet analysis efficiently characterizes the scale-specific pattern of Q. liaotungensis at different life-history stages.     

Effects of incorporating spatial autocorrelation into the analysis of species distribution data

Aim  Spatial autocorrelation (SAC) in data, i.e. the higher similarity of closer samples, is a common phenomenon in ecology. SAC is starting to be considered in the analysis of species distribution data, and over the last 10 years several studies have incorporated SAC into statistical models (here termed 'spatial models'). Here, I address the question of whether incorporating SAC affects estimates of model coefficients and inference from statistical models.
Methods  I review ecological studies that compare spatial and non-spatial models.
Results  In all cases coefficient estimates for environmental correlates of species distributions were affected by SAC, leading to a mis-estimation of on average c . 25%. Model fit was also improved by incorporating SAC.
Main conclusions  These biased estimates and incorrect model specifications have implications for predicting species occurrences under changing environmental conditions. Spatial models are therefore required to estimate correctly the effects of environmental drivers on species present distributions, for a statistically unbiased identification of the drivers of distribution, and hence for more accurate forecasts of future distributions.     

Multiscale patterns of spatial variation in stream macroinvertebrate communities

Our ability to detect patterns of variation of communities depends on the spatial scale of observation. I examined the spatial variation of macroinvertebrate community structure: abundance, richness, evenness, percentage of Ephemeroptera, Plecoptera and Trichoptera (EPT), and taxonomic composition across a wide range of spatial scales in two mountain streams. In a nested design, three segments were selected within each basin, three riffles within each segment, three sections within each riffle, and three samples within each section. Significant variation of communities occurred mainly at sample and riffle scales, although different community characteristics may vary at different scales. Environmental factors were strongly related to communities, but these relationships depended on spatial scale in many cases, suggesting that the influence of the environment is ultimately regulated by the grain and extent of organisms. This study highlights the importance of multiscale studies to obtain a complete understanding of the spatial variation of macroinvertebrate communities and their relationship with the environment.     

The shape of a species' spatial abundance distribution

Aim The shape of a species' spatial abundance distribution may change with spatial scale. We predict that the shape will typically change from strictly downward‐sloping (falling) to humped (rising then falling) as the spatial scale increases. The prediction, motivated in part by central limit reasoning, is intended for common or abundant species over reasonably homogeneous habitats. We test the prediction using data on 800+ tree species, one ant species, and 14 bird species. Location Tree data are for Malaysia and Central America; ant and bird data are for North America. Methods For each species, histograms and relative mode shape statistics are compared across multiple spatial scales. Results The predicted pattern is broadly confirmed. Main conclusions The emerging hump pattern is a candidate for listing among macroecological regularities. In appropriate contexts, spatial theories might be asked to predict the pattern.