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Ozone exposure, defoliation of beech (Fagus sylvatica L.) and visible foliar symptoms on native plants in selected plots of South-Western Europe

机译:西南欧某些地区的本地植物上的臭氧暴露,山毛榉(Fagus sylvatica L.)的落叶和可见的叶片症状

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The relationships between crown defoliation of beech, visible foliar symptoms on native vegetation and ozone exposure were investigated on permanent monitoring sites in South-Western Europe in the years 2000-2002. Relationships between defoliation of beech and O_3 (seasonal mean, 2-week maximum, AOT40) were investigated by means of multiple regression models (11 plots, 1-3 years of data each) and a model based on temporal autocorrelation of defoliation data (14 plots, 1-3 years of data each). Different multiple regression techniques were used. The four models generated (R~2 = 0.71-0.85, explained variance in cross-validation 61-78%) identified several significant predictors of defoliation, with AOT40 (p = 0.008) and foliar content of phosphorous (p = 0.0002—0.0004) being common to all models. The autocorrelation model (R~2 = 0.55; p < 0.0001) was used to calculate expected defoliation on the basis of the previous year's defoliation, and model predictions were used as an estimate of expected defoliation under constant site and environmental condition. Residuals (predicted-measured) plotted against current AOT40 shows that a possible effect of ozone occurs only at very high AOT40 (> 35,000 ppbh). O_3-like visible foliar symptoms were recorded on 65 species at 47% of the common monitoring sites in 2001 and 38% in 2002. No relationship was found between O_3 exposure, frequency of symptomatic sites and frequency of species with symptoms (R~2 = 0.11; p > 0.05). A number of questions related to the ecological and methodological basis of the survey were identified. Inherent sampling and non-sampling errors and multicollinearity of the data suggest great caution when examining results obtained from mensurational, correlative studies.
机译:在2000-2002年的西南欧永久性监测点上调查了山毛冠冠脱叶,天然植被上可见的叶面症状与臭氧暴露之间的关系。利用多重回归模型(11个图,每个1-3年的数据)和一个基于时空自相关数据的模型,研究了山毛榉的落叶与O_3(季节性平均值,最大2周,AOT40)之间的关系(14)图,每个1-3年的数据)。使用了不同的多元回归技术。生成的四个模型(R〜2 = 0.71-0.85,交叉验证的解释方差为61-78%)确定了几个重要的落叶预测指标,其中AOT40(p = 0.008)和叶面磷含量(p = 0.0002-0.0004)对所有型号都通用自相关模型(R〜2 = 0.55; p <0.0001)用于在上一年的落叶基础上计算预期的落叶,并使用模型预测作为恒定场地和环境条件下的预期落叶的估计。相对于当前的AOT40绘制的残渣(预测值)表明,只有在非常高的AOT40(> 35,000 ppbh)下,臭氧才可能发生作用。在2001年的47%的普通监测点和2002年的38%的监测点中,有65种物种记录到了类似O_3的可见叶症状。在O_3暴露,有症状的部​​位和有症状的物种的频率之间没有发现相关性(R〜2 = 0.11; p> 0.05)。确定了与调查的生态和方法基础有关的许多问题。固有的采样和非采样误差以及数据的多重共线性建议,在检查从月经,相关研究中获得的结果时要格外谨慎。

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