Air pollution exposure can impact plant physiology, morphology and biochemistry, leading to dramatic alterations to plant systems, function and growth. The use of plants for air pollution mitigation is increasing in popularity, particularly in the form of green wall systems, making the identification and classification of pollution sensitive and tolerant species essential. This study aimed to examine the health of common green wall species exposed to ambient air pollution in situ, and thus to identify tolerant species for use in high pollution environments. To do this, 11 plant species were sampled across 15 outdoor green walls, over a 6 month period, and tested for leaf chlorophyll, pH, relative water content and carbon content. Control glasshouse samples were collected simultaneously. Linear mixed models were used to examine patterns in plant health traits across species. Significant differences in plant health between control and in situ samples were observed, however, plant species were not consistent in their responses across health variables. As such, there no clear distinction of the most tolerant species could be made. As most species showed no significant health differences from pollution exposure, it is reasonable to conclude that all test species were able to withstand pollution exposure at the trial sites without any adverse effects.

空气污染暴露会影响植物生理、形态和生物化学，导致植物系统、功能和生长发生巨大变化。使用植物缓解空气污染越来越受欢迎，特别是以绿墙系统的形式，这使得对污染敏感和耐受物种的识别和分类变得必不可少。本研究旨在原位检查暴露于环境空气污染的常见绿墙物种的健康状况，从而确定在高污染环境中使用的耐受物种。为此，在 6 个月的时间里，在 15 个室外绿墙上对 11 种植物进行了采样，并测试了叶绿素、pH、相对水分含量和碳含量。同时收集对照温室样品。线性混合模型用于检查跨物种植物健康性状的模式。对照和原位植物健康的显着差异观察到的样本，然而，植物物种对健康变量的反应不一致。因此，无法明确区分最耐受的物种。由于大多数物种与污染暴露没有显着的健康差异，因此可以合理得出结论，所有测试物种都能够承受试验地点的污染暴露而没有任何不利影响。