School of Ecosystem and Forest Sciences, The University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria, 3121, Australia.
School of Ecosystem and Forest Sciences, The University of Melbourne, 500 Yarra Boulevard, Richmond, Victoria, 3121, Australia.
Water Res. 2018 Nov 1;144:285-295. doi: 10.1016/j.watres.2018.07.044. Epub 2018 Jul 17.
Biofiltration systems are highly valued in urban landscapes as they remove pollutants from stormwater runoff whilst contributing to a reduction in runoff volumes. Integrating trees in biofilters may improve their runoff retention performance, as trees have greater transpiration than commonly used sedge or herb species. High transpiration rates will rapidly deplete retained water, creating storage capacity prior to the next runoff event. However, a tree with high transpiration rates in a biofilter system will likely be frequently exposed to drought stress. Selecting appropriate tree species therefore requires an understanding of how different trees use water and how they respond to substrate drying. We selected 20 tree species and quantified evapotranspiration (ET) and drought stress (leaf water potential; Ψ) in relation to substrate water content. To compare species, we developed metrics which describe: (i) maximum rates of ET under well-watered conditions, (ii) the sensitivity of ET and (iii) the response of Ψ to declining substrate water content. Using these three metrics, we classified species into three groups: risky, balanced or conservative. Risky and balanced species showed high maximum ET, whereas conservative species always had low ET. As substrates dried, the balanced species down-regulated ET to delay the onset of drought stress; whereas risky species did not. Therefore, balanced species with high ET are more likely to improve the retention performance of biofiltration systems without introducing significant drought risk. This classification of tree water use strategies can be easily integrated into water balance models and improve tree species selection for biofiltration systems.
生物过滤系统在城市景观中受到高度重视,因为它们可以去除雨水径流中的污染物,同时减少径流总量。在生物过滤器中集成树木可以提高其径流保留性能,因为树木的蒸腾作用比常用的莎草或草本物种更大。高蒸腾速率会迅速耗尽保留的水分,在下一次径流事件之前创造储存容量。然而,生物过滤系统中蒸腾速率高的树木可能会经常受到干旱胁迫。因此,选择合适的树种需要了解不同树木如何用水以及它们对基质干燥的反应。我们选择了 20 个树种,并量化了与基质含水量有关的蒸散量(ET)和干旱胁迫(叶片水势;Ψ)。为了比较物种,我们开发了一些指标来描述:(i)在充分供水条件下的最大 ET 速率,(ii)ET 的敏感性,以及(iii)Ψ对基质水分含量下降的响应。使用这三个指标,我们将物种分为三组:高风险、平衡或保守。高风险和平衡物种的最大 ET 较高,而保守物种的 ET 始终较低。随着基质变干,平衡物种下调 ET 以延迟干旱胁迫的发生;而高风险物种则没有。因此,具有高 ET 的平衡物种更有可能在不引入显著干旱风险的情况下提高生物过滤系统的保留性能。这种树种水分利用策略的分类可以很容易地集成到水量平衡模型中,并提高生物过滤系统中树种的选择。