文献类型：期刊文献

中文题名：新乡4种主要绿化树种叶片硫含量与大气污染物硫浓度的关系研究

英文题名：Relationship Between Leaf Sulfur Content and Atmospheric Pollutant Sulfur Concentration of 4 Main Greening Tree Species in Xinxiang

作者：蔺芳[1];邢晶鑫[1];朱亚军[1];张晓亚[1];任思敏[1];张家洋[1]

第一作者：蔺芳

机构：[1]新乡学院生命科学技术学院

第一机构：新乡学院生命科学技术学院

年份：2018

卷号：38

期号：1

起止页码：91-95

中文期刊名：西南林业大学学报：自然科学

收录：CSTPCD;;北大核心:【北大核心2017】；

基金：河南省高等学校重点科研项目(16A180034)资助

语种：中文

中文关键词：绿化树种;叶片;叶面降尘;硫含量;大气硫浓度

外文关键词：greening trees ; blade ; foliar dust; sulfur content ; atmospheric sulfur concentration

摘要：用多重比较法(LSD法)分析豫北地区不同功能区毛白杨、三球悬铃木、国槐和小叶白蜡叶片与叶面尘中硫含量、大气硫浓度的差异,分别拟合叶片硫含量与叶面尘中硫含量、叶片硫含量与大气硫浓度之间的回归模型,并利用多元回归分析法建立三者之间的关系。结果表明:4种绿化树种叶片硫含量和叶面降尘中的硫含量均随大气硫浓度的增加而增加,增加幅度由大至小依次是毛白杨、国槐、三球悬铃木和小叶白蜡;毛白杨、三球悬铃木、国槐和小叶白蜡叶片硫含量与叶面降尘中硫含量拟合一元回归模型的决定系数(R2)依次为0.917、0.951、0.956和0.890;4种绿化树种叶片硫含量与大气硫浓度拟合一元回归模型的R2分别为0.950、0.932、0.909和0.887;4种绿化树种叶片硫含量、叶面降尘中的硫含量与大气硫浓度三者拟合二元回归模型R2分别达0.978、0.960、0.967和0.899。所有模型的F检验均达到极显著水平,因此,绿化树种叶片及其叶面降尘均可作为大气硫化物污染的有效生物指示剂,可为区域环境监测提供理论参考。
The difference of sulfur content between leaf and foliar dust of Populus to mentosa, Platanus oriental- is, Sophora japonica and Fraxinus bungeana and atmospheric sulfur concentration in different function areas of north- ern Henan Province were studied by multiple comparisons （ LSD method）. Fitting monadic mathematic model of leaf sulfur content and foliar dust sulfur content and atmospheric sulfur concentration, using multivariate regression analy- sis method to establish their relationships. Results showed that sulfur content in leaves and foliar dust of 4 greening trees were increased with the increasing of atmospheric sulfur concentration, the increasing extent order was Populus tomentosa, Sophora japonica, Platanus orientalis and Fraxinus bungeana. The determination coefficient （R2） of simple regression mathematical model about the sulfur content of blades and foliar dust in Populus to mentosa, Platanus orientalis, Sophora japonica and Fraxinus bungeana was 0. 917, 0. 951, 0. 956 and 0. 890, respectively. The determination coefficient （R2） of simple regression mathematical model of the blade sulfur content and atmospheric sulfur concentration in 4 greening trees was 0. 950, 0. 932, 0. 909 and 0. 887, respectively. Binary regression mathematical model of blades and foliar dust sulfur content and atmospheric sulfur concentration in 4 greening trees showed that the determination coefficient （R2 ） was 0. 978, 0. 960, 0. 967 and 0. 899, respectively. F-test of all mathematical models reached an extremely significant level. Therefore, plant leaves and foliar dust could be used to monitor atmospheric SO2 pollution as effective biomarkers, and could provide a reference for regional environmental monitoring.