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Study of interaction in bioindication research on tobacco plant injuries caused by ground level ozone

机译:地面臭氧造成烟草植物损伤的生物indication研究的互动研究

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Tropospheric ozone is one of the most phytotoxic air pollutants. Its concentration has increased over recent decades. Bioindication methods could help to measure ozone levels in places where automatic methods are not available. The investigations described were carried out in the city of Poznan (Poland) and in its vicinity, using tobacco plants as a bioindicator for ozone. Plants were located at 10 sites during the years 2002-2004, and visible ozone injuries were assessed. Statistical methods based on multidimensional models were used to interpret the results. The aim of this investigation was to evaluate the level of ozone-related injury to the 5th tobacco leaf, using multivariate analysis of variance. Differences of leaf injury levels between certain years and exposition sites were especially analyzed. The results of multivariate analysis were presented graphically in the space of canonical variates. The described study shows that multidimensional analysis of variance using canonical variates appears be an appropriate technique for testing hypotheses about differences between years and exposition sites as regards 5th leaf injury degree. The studies revealed a high variability of tobacco leaf injury caused by ozone in Poznan and its vicinity.
机译:对流层臭氧是最植物毒性的空气污染物之一。它的集中近几十年来增加了。生物indication方法可以有助于测量自动方法不可用的地方的臭氧水平。描述的调查是在波兹南​​市(波兰)和附近进行的,使用烟草作为臭氧的生物indicator。植物在2002 - 2004年期间位于10个地点,并且评估了可见的臭氧损伤。基于多维模型的统计方法用于解释结果。该调查的目的是评估第5次烟叶的臭氧相关损伤水平,使用多元差异分析。特别分析了某些年份和曝光位点之间的叶损伤水平的差异。多变量分析结果以图形方式呈现在规范变化的空间中。所描述的研究表明,使用规范变体的差异的多维分析似乎是一种适当的技术,用于测试关于第5叶损伤程度的年度和博览会部位之间的差异的假设。研究揭示了波兹南及其附近臭氧引起的烟草叶损伤的高度变化。

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