The Center for Ecological-Noosphere Studies of the National Academy of Sciences, Abovian-68, Yerevan 0025, Armenia.
Biophysics and Nanoscience Centre, Dipartimento di Scienze Ecologiche e Bioloigche (DEB)-Università degli Studi della Tuscia, Largo dell'Università snc, 01100 Viterbo, Italy.
Int J Environ Res Public Health. 2021 Oct 3;18(19):10412. doi: 10.3390/ijerph181910412.
Trees play a pivotal role in improving urban environmental quality and provide several ecosystem services including the removal of pollutants from the air, such as particular matter (PM) and potentially toxic elements (PTE). Therefore, understanding the tree PM and PTE capturing potential, also in connection with plant species, is of great concern, especially in urban areas. This study aims to reveal the link between the elemental composition of PM deposited on tree leaves and soils PTE contents, as well as to rank the PM capturing efficiency of 10 different tree species growing under the impact of urban environments. This also allowed us to test the efficiency of PM deposited on tree leaves as a PTE biomonitoring and pollution source identification tool, in the two biggest urban areas of Armenia. Indeed, high contents of PTE are detected in both soil- and leaf-deposited PM from sites characterized by the presence of localized and active pollution sources (i.e., industrial unites, high traffic, etc.), which are identified by specific tracers (such as Mo, Cu, Zn, Pb, and Cd). Among the studied tree species, the highest PM amount per unit leaf area is observed for , but elm species are also identified as promising canditates to be considered for their PM removing potential, and need to be included in future more details studies.
树木在改善城市环境质量方面发挥着关键作用,并提供多种生态系统服务,包括从空气中去除污染物,如颗粒物(PM)和潜在有毒元素(PTE)。因此,了解树木对 PM 和 PTE 的捕捉潜力,以及与植物物种的关系,是非常重要的,特别是在城市地区。本研究旨在揭示树叶上沉积的 PM 的元素组成与土壤 PTE 含量之间的联系,并对 10 种不同树种在城市环境影响下的 PM 捕捉效率进行排名。这也使我们能够在亚美尼亚最大的两个城市地区测试树叶上沉积的 PM 作为 PTE 生物监测和污染源识别工具的效率。事实上,在具有局部和活跃污染源(如工业单位、高交通等)特征的地点,土壤和树叶沉积的 PM 中都检测到了高含量的 PTE,这些污染源可以通过特定的示踪剂(如 Mo、Cu、Zn、Pb 和 Cd)来识别。在所研究的树种中,每单位叶片面积沉积的 PM 量最高的是悬铃木,但elm 树种也被认为是具有去除 PM 潜力的有前途的候选树种,需要在未来更详细的研究中加以考虑。