Ecosystem processes at the watershed scale: Mapping and modeling ecohydrological controls of landslides

Mountain watersheds are sources of a set of valuable ecosystem services as well as potential hazards. The former include high quality freshwater, carbon sequestration, nutrient retention, and biodiversity, whereas the latter include flash floods, landslides and forest fires. Each of these ecosystem services and hazards represents different elements of the integrated and co-evolved ecological, hydrological and geomorphic subsystems of the watershed and should be approached analytically as a coupled land system. Forest structure and species are important influences on the partitioning of precipitation, the lateral redistribution of water, runoff and sediment production, weathering and soil development. Forest regulation of hydrologic dynamics contributes to the development of patterns of soil pore pressure and slope instability during storms or snowmelt. The spatial patterns of root depth, structure and strength, developed by the below ground allocation of carbon in the forest canopy in response to limiting resources of water and nutrients, contributes to slope stability and drainage, and the maintenance of stomatal conductance linking water and carbon cycling. This in turn provides the photosynthate required to build leaf area, stem and root biomass. The linked ecological, hydrologic and geomorphic systems are characterized by specific catenary patterns that should be captured in any coupled modeling approach. In this paper we extend an ecohydrological modeling approach to include hydrologic and canopy structural pattern impacts on slope stability, with explicit feedbacks between ecosystem water, carbon and nutrient cycling, and the transient development of landslide potential in steep forested catchments. Using measured distributions of canopy leaf area index, and empirically modeled soil depth and root cohesion, the integrated model is able to generate localized areas of past instability without specific calibration or training with mapped landslides. As the model has previously been shown to simulate space/time patterns of coupled water, carbon and nutrient cycling, the integration of slope stability as a function of hydrologic, ecosystem and geomorphic processes provides the ability to closely link multiple ecosystem services with a unified approach.

[1]  J. Vose,et al.  Effects of Rhododendron maximum L. on Acer rubrum L. Seedling Establishment , 1996 .

[2]  G. Wieczorek,et al.  Regional debris-flow distribution and preliminary risk assessment from severe storm events in the Appalachian Blue Ridge Province, USA , 2004 .

[3]  A. Zhu,et al.  Derivation of Soil Properties Using a Soil Land Inference Model (SoLIM) , 1997 .

[4]  J. Vose,et al.  Effects of Rhododendron maximum L. on , 1996 .

[5]  Samuele Segoni,et al.  An empirical geomorphology‐based approach to the spatial prediction of soil thickness at catchment scale , 2010 .

[6]  G. Clark,et al.  Debris slide and debris flow historical events in the Appalachians south of the glacial border , 1987 .

[7]  Richard A. Fernandes,et al.  Modelling Watersheds as Spatial Object Hierarchies: Structure and Dynamics , 2000, Trans. GIS.

[8]  Lawrence E. Band,et al.  Forest ecosystem processes at the watershed scale: hydrological and ecological controls of nitrogen export , 2001 .

[9]  P. Sellers Canopy reflectance, photosynthesis and transpiration , 1985 .

[10]  H. Jenny,et al.  The soil resource. Origin and behavior , 1983, Vegetatio.

[11]  David R. Montgomery,et al.  A process-based model for colluvial soil depth and shallow landsliding using digital elevation data , 1995 .

[12]  Paul V. Bolstad,et al.  Forest Productivity, Leaf Area, and Terrain in Southern Appalachian Deciduous Forests , 2001, Forest Science.

[13]  S. Schumm,et al.  Yield of sediment in relation to mean annual precipitation , 1958 .

[14]  R. Sidle,et al.  A distributed slope stability model for steep forested basins , 1995 .

[15]  F. P. Day,et al.  Forest Communities and Patterns , 1988 .

[16]  飯塚 寛,et al.  Aspect transformation in site productivity research , 1967 .

[17]  R. Kochel,et al.  Role of debris flows in long-term landscape denudation in the central Appalachians of Virginia , 2003 .

[18]  W. Westman How Much Are Nature's Services Worth? , 1977, Science.

[19]  B. Clinton,et al.  Inhibition of seedling survival under Rhododendron maximum (Ericaceae): could allelopathy be a cause? , 1999, American journal of botany.

[20]  K. Trenberth,et al.  The changing character of precipitation , 2003 .

[21]  K. Elliott,et al.  Forest Species Diversity in Upper Elevation Hardwood Forests in the Southern Appalachian Mountains , 1997 .

[22]  E. Istanbulluoglu Modeling Catchment Evolution: From Decoding Geomorphic Processes Signatures toward Predicting Impacts of Climate Change , 2009 .

[23]  Lawrence E. Band,et al.  Ecosystem processes at the watershed scale: Extending optimality theory from plot to catchment , 2009 .

[24]  D. Montgomery,et al.  A physically based model for the topographic control on shallow landsliding , 1994 .

[25]  Lee C. Wensel,et al.  Notes and Observations: Aspect Transformation in Site Productivity Research , 1966 .

[26]  J. E. Douglass,et al.  History of Coweeta , 1988 .

[27]  Lawrence E. Band,et al.  Forest ecosystem processes at the watershed scale: dynamic coupling of distributed hydrology and canopy growth , 1997 .

[28]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[29]  L. Band,et al.  Topographic and ecologic controls on root reinforcement , 2009 .

[30]  B. Clinton,et al.  Effects of Rhododendron maximum Thickets on Tree Seed Dispersal, Seedling Morphology, and Survivorship , 2002, International Journal of Plant Sciences.

[31]  D. Easterling,et al.  Trends in Intense Precipitation in the Climate Record , 2005 .

[32]  A. Witt A Brief History of Debris Flow Occurrence in the French Broad River Watershed,Western North Carolina , 2005 .

[33]  Keith Beven,et al.  The future of distributed models: model calibration and uncertainty prediction. , 1992 .

[34]  E. Istanbulluoglu An Eco‐hydro‐geomorphic Perspective to Modeling the Role of Climate in Catchment Evolution , 2009 .

[35]  P. O'Gorman,et al.  The physical basis for increases in precipitation extremes in simulations of 21st-century climate change , 2009, Proceedings of the National Academy of Sciences.

[36]  T. Mexia,et al.  Author ' s personal copy , 2009 .

[37]  Paul E. Gessler,et al.  Modeling Soil–Landscape and Ecosystem Properties Using Terrain Attributes , 2000 .

[38]  J. T. Hack,et al.  Geomorphology and forest ecology of a mountain region in the central Appalachians , 1960 .

[39]  Torsten Schaub,et al.  The variability of root cohesion as an influence on shallow landslide susceptibility in the Oregon Coast Range , 2001 .

[40]  J. Hutchinson,et al.  Hillslope Form and Process , 1973 .

[41]  R. O'Neill,et al.  The value of the world's ecosystem services and natural capital , 1997, Nature.

[42]  S. Running,et al.  Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology , 1993 .

[43]  Wayne T. Swank,et al.  Forest Hydrology and Ecology at Coweeta , 1988, Ecological Studies.

[44]  Garrison Sposito,et al.  Scale Dependence and Scale Invariance in Hydrology , 1998 .

[45]  Christina L. Tague,et al.  RHESSys: Regional Hydro-Ecologic Simulation System—An Object- Oriented Approach to Spatially Distributed Modeling of Carbon, Water, and Nutrient Cycling , 2004 .

[46]  A. Parker,et al.  Evergreen Understory Dynamics in Coweeta Forest, North Carolina , 2004 .

[47]  Natasha Pollen,et al.  Estimating the mechanical effects of riparian vegetation on stream bank stability using a fiber bundle model , 2005 .

[48]  David G. Tarboton,et al.  The SINMAP Approach to Terrain Stability Mapping , 1998 .

[49]  David R. Montgomery,et al.  Scale Dependence and Scale Invariance in Hydrology: Hillslopes, Channels, and Landscape Scale , 1998 .

[50]  William J. Elliot,et al.  Spatially and temporally distributed modeling of landslide susceptibility , 2006 .

[51]  D. Tarboton A new method for the determination of flow directions and upslope areas in grid digital elevation models , 1997 .

[52]  J. Webster,et al.  Loss of foundation species: consequences for the structure and dynamics of forested ecosystems , 2005 .

[53]  R. Sidle,et al.  Landslides: Processes, Prediction, and Land Use , 2006 .