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Effects of air pollution on physiological traits of Ligustrum lucidum Ait. leaves in Luoyang, China

机译:空气污染对Ligustrum Lucidum Ait生理性状的影响。 叶在洛阳,中国

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Leaves of trees experience the maximum brunt of exposure and undergo certain changes in physiological traits responding to air pollution, and then, the specific leaf traits can be the indicators of air pollution in an area. However, due to the diversity of sources, the composition of air pollutants is very complex. This makes it difficult to predict air pollution using physiological differentiation of leaves. The purpose of this investigation was to examine potential of Ligustrum lucidum Ait. leaf measurement as a method to predict the air pollutants in Luoyang, China. Leaves of roadside L. lucidum were studied from the city center with serious air pollution to relatively unpolluted areas. Leaf size, stomatal traits, and non-structural carbohydrate were measured. The particulate and gaseous pollutants (including sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone) were investigated too. The results showed that the leaf area and soluble sugar content decreased, while the aspect ratio of leaves increased in heavily polluted areas. As pollution increased, the stomatal traits in different crown positions were changed differently. No significant correlation was found between ozone content and the measured traits of leaves. The responses found in the physiological differentiation of the leaves reflect acclimation to air pollution. The soluble sugar content of the leaves could be used to indicate the short-term stress of air pollution, the area, and aspect ratio of leaves are indicative of the long-term stress due to air pollution. Therefore, physiological traits of L. lucidum leaves appeared to be significant predictive factors for the air pollutants in urban areas.
机译:树木的叶子经历了暴露的最大冲击,经历了对空气污染的生理性状的某些变化,然后,特定叶状性状可以是一个地区的空气污染指标。然而,由于来源的多样性,空气污染物的组成非常复杂。这使得难以使用叶子的生理分化来预测空气污染。该调查的目的是检查Ligustrum Lucidum Ait的潜力。作为预测中国洛阳空气污染物的方法。路边L. lucidum的叶子是从城市中心研究的,以严重的空气污染到相对未受污染的地区。测量叶片尺寸,气孔性状和非结构碳水化合物。还研究了颗粒状和气态污染物(包括二氧化硫,二氧化氮,一氧化碳和臭氧)。结果表明,叶片面积和可溶性糖含量下降,而叶片的纵横比在污染的区域中增加。随着污染的增加,不同冠部位的气孔特征不同。在臭氧含量和叶子的测量性状之间没有发现显着的相关性。叶片生理分化中发现的反应反映了空气污染的适应性。叶片的可溶性糖含量可用于表示空气污染的短期应力,叶子的面积和纵横比表示由于空气污染引起的长期应力。因此,L. lucidum叶子的生理性状似乎是城市空气污染物的显着预测因素。

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