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[群落物种结构分析的统计方法(以河流大型底栖动物为例)]

[Statistical methods for analysis of communities' species structure (with riverine macrozoobenthos as an example)].

作者信息

Shitikov V K, Zinchenko T D

出版信息

Zh Obshch Biol. 2011 Sep-Oct;72(5):355-68.

Abstract

Species turnover or coherence in species co-occurrence as well as boundary clumping and nestedness in structural composition of ecological communities reflect the extent of determinancy in their organization (Leibold, Mikkelson, 2002). These phenomena may be a consequence of either interactions between species or heterogeneity in spatial distribution of populations density. We have examined statistical patterns of species structure variability using benthic communities of riverine ecosystems as an example. The ecosystems studied are characterized by strongly pronounced linear gradient of landscape features and environmental factors. The results of a long-term hydrobiological survey being conducted at 22 observational stations on the Sok River along with its tributary, the Baytugan River (Lower Volga basin, total watercourse length is 375 km) are involved into the analysis. A spreadsheet for statistical processing of the data included 375 macrozoobenthic taxa contained in 147 samples. An assessment of species structure nestedness in benthic communities at separate sites and along the watercourse as a whole has been carried out using various metrics such as nestedness "temperature" (Patterson, Atmar, 2000), discrepancy measure (Brualdi, Sanderson, 1999), nestedness based on overlap and decreasing fill (NODE--Almeida-Neto et al., 2008) and others. Statistical significance of ecosystems structural determinancy has been tested by means of randomization procedures and standard null models (Gotelli, 2000). The conclusions seem to be ambiguous and dependent on a level and scale of an ecosystem resolution into separate blocks, also on configuration and completion of initial bio-geographical tables. A searching for reliable and representative criteria of nestedness, invariant to various non-ecological modifications of the matrices but sensitive to estimation of analyzed ecological processes and suitable for comparisons of communities, is clearly needed. A quantitative estimation of species turnover and coherence in species cooccurrence has been performed using different indices of unique combinations and checkerboard score (Stone, Roberts, 1992) as well as Schluter's variance test. By means of empirical Bayesian approach (Gotelli, Ulrich, 2010) records of species pairwise combinations are formed where the frequency of species co-occurrence cannot be interpreted as a random value. Positive and negative relationships between taxa in macrozoobenthic communities, which are found out to be statistically significant, in most cases can be explained as being not the consequence of competition for resources but of spatial heterogeneity of biotopical conditions along the whole length of the watercourse.

摘要

物种更替或物种共现的连贯性,以及生态群落结构组成中的边界聚集和嵌套性,反映了它们组织中的确定性程度(莱博尔德、米克尔森,2002年)。这些现象可能是物种间相互作用或种群密度空间分布异质性的结果。我们以河流生态系统的底栖生物群落为例,研究了物种结构变异性的统计模式。所研究的生态系统的特点是景观特征和环境因素呈现出强烈的线性梯度。分析中纳入了在索克河及其支流拜图甘河(下伏尔加盆地,总河道长度为375公里)的22个观测站进行的长期水生生物学调查结果。用于数据统计处理的电子表格包含147个样本中的375个大型底栖动物分类单元。已使用各种指标,如嵌套性“温度”(帕特森、阿特马尔,2000年)、差异度量(布鲁阿尔迪、桑德森,1999年)、基于重叠和递减填充的嵌套性(NODE——阿尔梅达-内托等人,2008年)等,对不同地点以及整个河道的底栖生物群落中的物种结构嵌套性进行了评估。通过随机化程序和标准零模型(戈特利,2000年)对生态系统结构确定性的统计显著性进行了检验。结论似乎模棱两可,并且取决于将生态系统解析为单独区域的水平和尺度,还取决于初始生物地理表格的配置和完整性。显然需要寻找可靠且具有代表性的嵌套性标准,这些标准对于矩阵的各种非生态修改具有不变性,但对所分析的生态过程的估计敏感,并且适合群落比较。已使用独特组合和棋盘得分的不同指数(斯通、罗伯茨,1992年)以及施卢特方差检验,对物种更替和物种共现的连贯性进行了定量估计。通过经验贝叶斯方法(戈特利、乌尔里希,2010年)形成了物种成对组合记录,其中物种共现频率不能被解释为随机值。在大型底栖动物群落中,分类单元之间的正相关和负相关在大多数情况下被发现具有统计学显著性,这在很大程度上可以解释为不是资源竞争的结果,而是整个河道沿线生物栖息地条件的空间异质性所致。

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