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Plant Traits that Enhance Pollutant Removal from Stormwater in Biofiltration Systems

Authors: Read, Jennifer; Fletcher, Tim D.; Wevill, Tricia; Deletic, Ana;

Plant Traits that Enhance Pollutant Removal from Stormwater in Biofiltration Systems

Abstract

Plants species have been shown to improve the performance of stormwater biofiltration systems, particularly in removal of N and P. Recent research has shown that plants vary in their contribution to pollutant removal but little is known about the type of plant that is best suited to use in biofilters in terms of survival, growth rate, and performance. In this study, growth responses of 20 species to applications of semi-synthetic stormwater were measured, and the roles of key plant traits in removal of N, P, and several metals were investigated. There was no evidence of negative effects of stormwater application on plant growth, and plant traits, particularly root traits, were strongly correlated negatively with N and P concentrations of effluent stormwater. The most common and strong contributors to N and P removal appeared to be the length of the longest root, rooting depth, total root length, and root mass. The plants that made the strongest contribution to pollutant removal, e.g, Carex appressa, combined these traits with high growth rates. Investigation of other plant traits (e.g, physiology), causal mechanisms, and effects of more complex planting environments (e.g, species mixtures) should further guide the selection of plants to enhance performance of biofiltration systems.

Country
Australia
Related Organizations
Keywords

Runoff, Nitrogen, Plant Development, Plant Roots, Waste Disposal, Fluid, Quantitative Trait, Heritable, Biomass, 580, Principal Component Analysis, Cyclonic Storms, Phosphorus, Plants, Roots, Carex, Biodegradation, Environmental, Metals, Filtration, Water Pollutants, Chemical

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
129
Top 1%
Top 10%
Top 10%