EGU23-8316, updated on 25 Feb 2023
https://doi.org/10.5194/egusphere-egu23-8316
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Reconstructing spatial variability of forest soil water characteristic by using a combination of electrical resistivity tomography and local soil water content measurements

Ursula Noell1, Erkki Hemmens1, Bernd Ahrends2, Susanne Stadler1, Stefan Fleck2, and Klibw-gw working group1
Ursula Noell et al.
  • 1Federal Institute for Geosciences and Natural Resources, Berlin/Hannover, Germany (ursula.noell@bgr.de)
  • 2Northwest German Forest Research Institute (NW-FVA), Grätzelstr. 2, 37079 Göttingen, Germany

Effective management of groundwater resources requires conclusive evidence and understanding of forest management effects (tree species selection, harvest intensities, forest rotation periods) on groundwater recharge. The high spatial variability of forest soil characteristic hampers an area representative measurement of forest soil moisture distribution and flow processes in the unsaturated zone. This results in high uncertainties in the detection of tree species difference of water balance and groundwater recharge in forests. We attempt to delineate this heterogeneity by combining different investigation methods and forest stands of different tree species. From 2019 – 2022 we investigated a Norway spruce stand (Picea abies (L.) KARST.) in the Solling mountains (AMT 7.3°C, AMP 1168 mm). The observation shows higher moisture contents close to the trees, where the root density is highest. We calculated a site-specific function relating electrical resistivity to soil water content and used this to reconstruct moisture changes down to a depth of one meter below the rooting zone. Recharge seems to happen not only in winter but also in summer after intense precipitation events. During a severe spring drought in 2020, the water content dropped markedly in the rooting zone. In 2022 we started the observation of the water balance in a lowland Scots pine stand (Pinus sylvestris) with locally regenerating red oak (Quercus rubra) in the shrub layer. The geophysical monitoring using electrical resistivity tomography discovered again lower resistivity indicating higher moisture content close to the trees where root density is highest. The application of different inversion smoothness constraints revealed differences in resulting electrical resistivity values, showing the non-uniqueness of the inversion results. This presents a challenge, relating single point soil water measurements to ERT 3D inversion results and calls for the need to construct a site-specific Archie function by using simultaneous water content measurements at the site rather than laboratory measurements. The investigations will continue in stands of Douglas fir (Pseudotsuga mentiesii), red oak (Quercus rubra), common oak (Quercus robur) and European beech (Fagus sylvatica).

The project is funded by the Forest Climate Fond under the joint leadership of BMUV and BMEL (Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection and the Federal Ministry of Food and Agriculture (KLIBW-GW:FKZ: 2220WK39B4 and 2220WK39B4)).

How to cite: Noell, U., Hemmens, E., Ahrends, B., Stadler, S., Fleck, S., and working group, K.: Reconstructing spatial variability of forest soil water characteristic by using a combination of electrical resistivity tomography and local soil water content measurements, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-8316, https://doi.org/10.5194/egusphere-egu23-8316, 2023.