EGU2020-413, updated on 17 Jan 2024
https://doi.org/10.5194/egusphere-egu2020-413
EGU General Assembly 2020
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Quantifying the effects of urban vegetation on water partitioning in complex cityscapes: the potential of isotope-based ecohydrological models

Mikael Gillefalk1,2, Dörthe Tetzlaff2,3, Reinhard Hinkelmann1, Lena-Marie Kuhlemann2, Aaron Smith2, Fred Meier4, and Chris Soulsby1,2,5
Mikael Gillefalk et al.
  • 1Technische Universität Berlin, Chair of Water Resources Management and Modeling of Hydrosystems, Berlin, Germany (mikael.gillefalk@tu-berlin.de)
  • 2IGB Berlin, Ecohydrology, Berlin, Germany
  • 3Humboldt University, Geography, Berlin, Germany
  • 4Technische Universität Berlin, Chair of Climatology, Berlin, Germany
  • 5University of Aberdeen, Northern Rivers Institute, Aberbeen, Scotland

The continued global acceleration of urbanisation increasingly requires sustainable, adaptive management strategies for land and water use in cities. Although the effects of buildings and sealed surfaces on urban runoff generation (via storm drains) and local climate (through the urban heat island effect) are well known, much less is known about how these artificial influences integrate with water partitioning in more natural urban green spaces. In particular, little is quantitatively known about how different types of urban green spaces (lawns, parks, woodland etc.) regulate the partitioning of evaporation, transpiration and groundwater recharge. To address this crucial issue, we integrated field observations with advanced, isotope-based ecohydrological modelling at the plot scale in the urban area of Berlin, Germany. Measurements of soil moisture, sap flow, and stable isotopes in precipitation, soil water and groundwater have been made over the course of one growing season. Additionally, an eddy flux tower at the site Rothenburgstraße in Berlin-Steglitz continuously collects hydroclimate data by measuring temperature, precipitation, radiation, humidity and wind speed at high temporal resolution. These data (30-min averages) have been used as input to, and for calibration of, the process-based ecohydrological model EcH2O-iso. The model also tracks stable isotope ratios and water ages in various stores (e.g. soils and groundwater) and fluxes (evaporation, transpiration and recharge). EcH2O-iso has successfully been used to describe the effects of vegetation cover on water partitioning in a number of studies but this is the first implementation in an urban setting. It shows that ecohydrological water use by vegetation type increases in the order forests > shrubs > grass, mainly through higher interception and transpiration. Accordingly, trees can reduce groundwater recharge by >50%, but provide cooling latent heat transfers to the atmosphere.  Similarly, ages of stored water and fluxes are generally greater under trees than grass. The results, which form the basis for future upscaling, show that urban green spaces play an important role in urban hydrology and in Berlin there is a trade-off between moderating the urban heat island effect and maintaining groundwater recharge. Consequently, it is clear that vegetation management needs to be considered in sustainable water and land use planning in urban areas to build resilience in cities to climatic and other environmental change.

How to cite: Gillefalk, M., Tetzlaff, D., Hinkelmann, R., Kuhlemann, L.-M., Smith, A., Meier, F., and Soulsby, C.: Quantifying the effects of urban vegetation on water partitioning in complex cityscapes: the potential of isotope-based ecohydrological models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-413, https://doi.org/10.5194/egusphere-egu2020-413, 2020.

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