Environment Research Institute, Shandong University, Qingdao, 266237, China.
School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China.
Chemosphere. 2022 Jan;287(Pt 3):132341. doi: 10.1016/j.chemosphere.2021.132341. Epub 2021 Sep 22.
Pollution of atmospheric particulate matter carrying heavy metals has posed a great threat to various ecosystem compartments. Here, a total of 540 samples from four ecosystem compartments (plant leaves, foliar dust, surface soil, and subsoil) were collected in urban soil-plant systems to characterize the heavy metal concentration and composition of foliar dust, to verify the suitability of foliar dust as an environmental monitor, and to explore the importance of foliar dust in shaping the heavy metal composition in plant leaves. We found that the concentrations of all detected elements (lead, zinc, copper, chromium, nickel, and manganese) in foliar dust were the highest among the four ecosystem compartments. The mass of element per unit leaf area, considering both the dust retention amount and the heavy metal concentration of foliar dust, had significant positive correlations with the degree of heavy metal pollution in soil. Foliar dust could reflect ambient elemental composition most reliably among the four ecosystem compartments. The above findings show that foliar dust is more suitable for environmental monitoring than soil and plant materials in urban areas. In addition, the elemental composition of plant leaves differed significantly with different soil-plant systems although species identity dominated the leaf elemental composition. The variation partitioning model and the partial correlation analysis confirm that foliar dust plays a more important role in shaping the elemental composition of plant leaves than soil. This study provides a new way for environmental pollution monitoring and contributes to a comprehensive understanding of atmospheric particulate matter.
大气颗粒物中重金属的污染对各种生态系统造成了巨大威胁。在这里,我们共从城市土壤-植物系统中的四个生态系统(植物叶片、叶尘、表土和底土)中采集了 540 个样本,以描述叶尘中的重金属浓度和组成,验证叶尘作为环境监测器的适用性,并探索叶尘在塑造植物叶片重金属组成方面的重要性。我们发现,在四个生态系统中,所有检测到的元素(铅、锌、铜、铬、镍和锰)在叶尘中的浓度最高。考虑到叶尘的灰尘保留量和重金属浓度,单位叶片面积上元素的质量与土壤中重金属污染的程度呈显著正相关。叶尘在四个生态系统中最能可靠地反映环境元素组成。上述发现表明,在城市地区,叶尘比土壤和植物材料更适合环境监测。此外,尽管物种身份主导着叶片的元素组成,但不同的土壤-植物系统中植物叶片的元素组成存在显著差异。变异划分模型和偏相关分析证实,叶尘在塑造植物叶片的元素组成方面比土壤发挥更重要的作用。这项研究为环境污染监测提供了一种新方法,有助于全面了解大气颗粒物。