Dynamics of Water Flow in a Forest Soil: Visualization and Modelling

Soil water plays an important role in the terrestrial water and energy cycles. Its movement follows the gradient of the soil water potential and is most frequently described by the Richards equation. In this chapter, we focus on water fluxes in the vadose zone and model them with Water Heat and Nitrogen Simulation Model (WHNSIM) that solves the Richards equation numerically. We characterize the temporal dynamics of soil matric potentials measured at Coulissenhieb II and compare their complexity with modelled matric potential. Additionally, we summarize our previous studies on preferential flow—a common phenomenon in forest soils that cannot be modelled adequately by the Richards equation. The model WHNSIM reproduced the overall level of matric potentials in all depths. However, while it captured the complexity of the measurements in the upper soil, the matrix potentials in 90 cm depth were less complex indicating a more regular and damped signal. This result suggests that WHNSIM misses some important processes at least in the deeper soil. The soil water fluxes at Coulissenhieb II have a clear seasonal pattern with large fluxes occurring in spring during snow melt and small ones during dryer periods in summer. We could identify preferential flow in dye tracer experiments at the profile scale and attribute it mainly to macropore flow along root channels. Yet the identification and quantification of preferential pathways at the catchment scale remains challenging.

[1]  D. Hertel,et al.  Effects of experimental drought on the fine root system of mature Norway spruce , 2008 .

[2]  Baltasar Trancón y Widemann,et al.  Characterising flow patterns in soils by feature extraction and multiple consensus clustering , 2013, Ecol. Informatics.

[3]  G. Guggenberger,et al.  Storm flow flushing in a structured soil changes the composition of dissolved organic matter leached into the subsoil , 2005 .

[4]  K. Wilpert,et al.  Modeling water and ion fluxes in a highly structured, mixed-species stand , 2001 .

[5]  Joshua Garland,et al.  Model-free quantification of time-series predictability. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  B. Huwe,et al.  Effects of soil frost on nitrogen net mineralization, soil solution chemistry and seepage losses in a temperate forest soil , 2009 .

[7]  W. Borken,et al.  Catchments as heterogeneous and multi-species reactors: An integral approach for identifying biogeochemical hot-spots at the catchment scale , 2014 .

[8]  C. Taylor,et al.  Afternoon rain more likely over drier soils , 2012, Nature.

[9]  Sonia I. Seneviratne,et al.  Observational evidence for soil-moisture impact on hot extremes in southeastern Europe , 2011 .

[10]  John Roberts,et al.  Forest transpiration: A conservative hydrological process? , 1983 .

[11]  B. Huwe,et al.  Impact of preferential flow on soil chemistry of a podzol , 2012 .

[12]  G. P. King,et al.  Extracting qualitative dynamics from experimental data , 1986 .

[13]  Hannes Flühler,et al.  Lateral solute mixing processes — A key for understanding field-scale transport of water and solutes , 1996 .

[14]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[15]  D. Hillel Environmental soil physics , 1998 .

[16]  F. Hagedorn,et al.  The age of preferential flow paths , 2002 .

[17]  W. Borken,et al.  Reappraisal of drying and wetting effects on C and N mineralization and fluxes in soils , 2009 .

[18]  R. Oren,et al.  INTRA- AND INTER-ANNUAL VARIATION IN TRANSPIRATION OF A PINE FOREST , 2001 .

[19]  Peter Wallbrink,et al.  Preferential Flow and Hydraulic Conductivity of Forest Soils , 1986 .

[20]  J. Cermak,et al.  Vertical and horizontal water redistribution in Norway spruce (Picea abies) roots in the Moravian Upland. , 2006, Tree physiology.

[21]  S. Seneviratne,et al.  Investigating soil moisture-climate interactions in a changing climate: A review , 2010 .

[22]  T. David,et al.  Trees never rest: the multiple facets of hydraulic redistribution , 2010 .

[23]  E. Wood,et al.  Global Trends and Variability in Soil Moisture and Drought Characteristics, 1950–2000, from Observation-Driven Simulations of the Terrestrial Hydrologic Cycle , 2008 .

[24]  Keith Beven,et al.  Macropores and water flow in soils revisited , 2013 .

[25]  Markus Reichstein,et al.  Evidence for soil water control on carbon and water dynamics in European forests during the extremely dry year: 2003 , 2007 .

[26]  R. Conant,et al.  Effects of soil moisture on the temperature sensitivity of heterotrophic respiration vary seasonally in an old‐field climate change experiment , 2012 .

[27]  Christina Bogner,et al.  Investigating flow mechanisms in a forest soil by mixed‐effects modelling , 2010 .

[28]  C. Alewell,et al.  Apparent translatory flow in groundwater recharge and runoff generation , 2002 .

[29]  M. Caldwell,et al.  Hydraulic lift: consequences of water efflux from the roots of plants , 1998, Oecologia.

[30]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[31]  D. Lawrence,et al.  Regions of Strong Coupling Between Soil Moisture and Precipitation , 2004, Science.

[32]  Nuno Carvalhais,et al.  Comparing observations and process‐based simulations of biosphere‐atmosphere exchanges on multiple timescales , 2010 .

[33]  Peter Blaser,et al.  Preferential Flow Paths: Biological Hot Spots in Soils , 2001 .

[34]  Badong Chen,et al.  Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  F. Pugnaire,et al.  Water release through plant roots: new insights into its consequences at the plant and ecosystem level. , 2012, The New phytologist.

[36]  Bernd Huwe,et al.  Deterministic and stochastic modelling of water, heat and nitrogen dynamics on different scales with WHNSIM , 1995 .

[37]  Henry Lin Temporal Stability of Soil Moisture Spatial Pattern and Subsurface Preferential Flow Pathways in the Shale Hills Catchment , 2006 .

[38]  J. Elsner Analysis of Time Series Structure: SSA and Related Techniques , 2002 .

[39]  T. Black,et al.  Processes Controlling Understorey Evapotranspiration , 1989 .

[40]  Diego G. Miralles,et al.  Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulation , 2014 .

[41]  Christina Bogner,et al.  Analysing flow patterns from dye tracer experiments in a forest soil using extreme value statistics , 2007 .

[42]  T. Foken,et al.  The Lehstenbach and Steinkreuz catchments in NE Bavaria, Germany , 2004 .

[43]  F. Meinzer,et al.  Hydraulic redistribution of soil water in two old-growth coniferous forests: quantifying patterns and controls. , 2007, The New phytologist.

[44]  Karin Laursen,et al.  A conceptual model of preferential flow systems in forested hillslopes: evidence of self‐organization , 2001 .

[45]  N. Golyandina,et al.  The "Caterpillar"-SSA method for analysis of time series with missing values , 2007 .

[46]  B. Pompe,et al.  Permutation entropy: a natural complexity measure for time series. , 2002, Physical review letters.

[47]  W. Borken,et al.  Do freeze‐thaw events enhance C and N losses from soils of different ecosystems? A review , 2008 .

[48]  J. Quirk,et al.  Permeability of porous solids , 1961 .