light trap. Canonical Correspondence Analysis (CCA) is a multivariate technique to relate composition of a species when species have bell-shaped response curve with respect to environmental gradients. Note that statisticians interpret CCA as canonical correlation ...
aCanonical correspondence analysis (CCA) is a robust method that directly relates community data to environmental variables by constraining species ordination to a pattern that correlates with environmental variables 标准书信分析(CCA)是与环境变量直接地关系社区数据通过压抑种类整理与样式关联以环境变量的一个健...
The Canonical correspondence analysis(CCA) was performed between the data of environmental factors and the data of biomass species,density of Cyanophyta,respectively. 对武汉市15个浅水湖泊在不同水期的浮游植物进行调查,同时监测相应的环境因子指标;以蓝藻物种多度及生物量数据和9个环境因子进行了典范对应分析...
典范对应分析(CCA )在Canoco 4.5 (之三Braak和1998年Smilauer )被用来探索小型动物群落结构和沉积物微环境的预测(之三Braak和1998年Smilauer )之间的多元关系。 翻译结果2复制译文编辑译文朗读译文返回顶部 规范的往来信件分析 (CCA) 在 Canoco 4.5 中 (ter Braak 和 Smilauer 1998) 用于探索 meiofaunal 社区结构...
分析(canonical correspondence analysis,CCA)是一 种非线性多元直接梯度分析方法 [8-9] ,它把对应分析与 多元回归结合起来,可以结合多个环境因子,包含 的信息量大,结果直观明显,弥补了这些常规分析 方法的不足。【拟解决的关键问题】本文通过在典 型地区采样,采用典范对应分析方法,探讨了甘肃 引黄灌区盐渍化土壤全盐...
(±0.72),利用TLI(∑)指数综合评价青草沙草水体处于轻度富营养化状态.青草沙水库浮游植物群落结构变化规律为冬季隐–硅藻型,春季硅–绿藻型,夏季硅–蓝藻型,秋季蓝–硅藻型.水库浮游植物空间差异较大,库区中后部多样性明显高于前部.典范对应分析(CCA)表明,温度,溶解氧,pH,总氮和总磷与青草沙水库浮游植物群落结构...
The Canonical correspondence analysis(CCA) was performed between the data of environmental factors and the data of biomass species,density of Cyanophyta,respectively. 对武汉市15个浅水湖泊在不同水期的浮游植物进行调查,同时监测相应的环境因子指标;以蓝藻物种多度及生物量数据和9个环境因子进行了典范对应分析...
The Canonical correspondence analysis(CCA) was performed between the data of environmental factors and the data of biomass species,density of Cyanophyta,respectively. 对武汉市15个浅水湖泊在不同水期的浮游植物进行调查,同时监测相应的环境因子指标;以蓝藻物种多度及生物量数据和9个环境因子进行了典范对应分析...
以附着生物丰度数据进行了除趋势对应分析(DCA),并根据附着生物丰度数据和7个环境因子进行了典范对应分析(CCA)。4) DCA 除趋势对应分析 1. Based on 75 recorded moss species and their coverage,Two-way Indicator Species Analysis (TWINSPAN) and Detrended Correspondence Analysis (DCA) were used to analyze ...