The Boreal Ecosystems Productivity Simulator (BEPS)


 Overview   BEPS at Landscape Level   BEPS-EASS   BEPS-Isotope   BEPS-GEM

Why have we expanded BEPS to landscape level?

The original Boreal Ecosystem Productivity Simulator (BEPS) was designed for remote sensing measurements at the scale of 1 km2 or better spatially and day to month temporally. Outputs of BEPS cover areas of more than 104 km2. No detailed topographic characteristics are included. An integration of BEPS with topographic and local hydrological attributes is a necessary step in validating nation-wide NPP and NEP maps using high resolution images in selected areas.


Which sites are selected for testing?

Three study sites have been selected.

  • Site A is located in typical boreal forest areas in central Saskatchewan, Canada. This site is also part of the BOREAS Southern Study Area and numerous data sets are therefore available. Typical of boreal forests, this site is generally flat with slightly undulating terrain modified during the last glacial period. From drier upland to wet lowland, jack pine, aspen and black spruce stands and their mixes are the dominant vegetation.
  • Site B is situated in central Quebec. This site is near the southern boundary of boreal forests where sugar maple and balsam fir stands dominate. Abundant rainfall (>1000m) and medium relief are the main features of this site. Some baseline data of this site have been collected by the Canadian Forest Service, and parts of the watersheds have been gauged.
  • Site C is proposed for the east slope of the Rocky Mountains in the Kananaskis area of Alberta, Canada. Local relief in this area can rise to 2000 m. Most of the Lodgepole pine and mixed stands are distributed at middle-to-bottom positions on the slopes. High soil permeability and low rainfall contrast with the other sites.
These three sites are representative of typical Canadian inland forest areas.

How will we run BEPS at landscape level?

Within each site, Digital Elevation Models (DEMs) will be used to derive more site-explicit data such as slope magnitude and aspect, drainage network, flow direction, flow accumulation and watershed boundary layers. In addition to the climatic data and to Leaf Area Index (LAI) information derived from remotely sensed data, NPP will be calculated at a more detailed scale (as detailed as individual pixels, 30m by 30m). At the landscape level, direct canopy radiation will be calculated by taking topography into account. Initial parameters to calculate the radiation are time of day, day of year, site location (longitude and latitude), slope, and aspect. Soil moisture balance will be calculated for each pixel with consideration of surface flow, subsurface flow, and flow accumulation as well as rainfall interception and evapotranspiration. Generic, physically based hydrological models such as Regional HydroEcological Simulation System (RHESSys) (Band, et al., 1993) and CASC2D (Julien and Saghafian, 1991) are being considered.


References

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Band, L. E., P. Patterson, R. Nemani and S. W. Running, 1993. Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology. Agricultural and Forest Meteorology, 63:93-126

Beven, K. J. and M. J. Kirkby, 1979. A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. Bull., 24:43-69

Dunne, T. and R. D. Black, 1970. An experimental investigation of runoff production in permeable soils, Water Resource Research, 6(2):179-191

Frezze, R. A., 1972a. Role of subsurface flow in generating surface runoff 1: Base flow contributions to channel flow, Water Resource Research, 8(3):609-623

Frezze, R. A., 1972b. Role of subsurface flow in generating surface runoff 2: Upstream source areas, Water Resource Research, 8(5):1272-1283

Horton, R. E., 1933. The role of infiltration in the hydrologic cycle, Trans. Amer. Geophys. Union, 14:446-460

Philip, J. R., 1983. Infiltration in One, Two, and Three Dimensions. Proceedings of the National Conference On Advances in Infiltration, American Society of Agricultural Engineers, St. Joseph, MI, pp. 1-13

Quinn, P., K. Beven, P. Chevallier and O. Planchon, 1997. The prediction of hillslope flow parths for distributed hydrological modelling using digital terrain models, Hydrological Processes, 5:59-79

Wigmosta, M. S., L. W. Vail and D. P. Lettenmaier, 1994. A distributed dygrology-vegetation model for complex terrain, Water Resource Research, 30(6):1665-1679


© Revised: Mar., 2005