A comparative analysis of urban forests for storm-water management

Mohammad A. Rahman, Yanin Pawijit, Chao Xu, Astrid Moser-Reischl, Hans Pretzsch, Thomas Rötzer, Stephan Pauleit

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Large-scale urban growth has modified the hydrological cycle of our cities, causing greater and faster runoff. Urban forests (UF), i.e. the stock of trees and shrubs, can substantially reduce runoff; still, how climate, tree functional types influence rainfall partitioning into uptake and runoff is mostly unknown. We analyzed 92 published studies to investigate: interception (I), transpiration (T), soil infiltration (IR) and the subsequent reduction in runoff. Trees showed the best runoff protection compared to other land uses. Within functional types, conifers provided better protection on an annual scale through higher I and T but broadleaved species provided better IR. Regarding tree traits, leaf area index (LAI) showed a positive influence for both I and T. For every unit of LAI increment, additional 5% rainfall partition through T (3%) and I (2%) can be predicted. Overall, runoff was significantly lower under mixed species stands. Increase of conifer stock to 30% in climate zones with significant winter precipitation and to 20% in areas of no dry season can reduce runoff to an additional 4%. The study presented an overview of UF potential to partition rainfall, which might help to select species and land uses in different climate zones for better storm-water management.

Original languageEnglish
Article number1451
JournalScientific Reports
Volume13
Issue number1
DOIs
StatePublished - Dec 2023

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