Figure 1
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Figure 1. Framework of BEPS showing the major modeling steps, the input requirements and the data's spatial resolutions and temporal intervals prior to simulation.

Figure 2
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Figure 2. NPP for Canada, 1994.

Figure 3
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Figure 3. One-to-one comparison of the measured NPP with the modeled NPP for (a) a mature black spruce stand, (b) a mature aspen stand.

Figure 4
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Figure 4. NPP over BOREAS region, 1994.

Net Primary Productivity (NPP)


What is Net Primary Productivity (NPP)?

NPP is a parameter used to quantify the net carbon absorption rate by living plants. NPP is the difference between plant photosynthesis and respiration which releases part of the carbon absorbed, that is,

NPP = Photosynthesis Rate - Plant Respiration Rate

(expressed in units of gram carbon/square metre/year)


Why is NPP important?

  1. NPP is a measure of plant growth. It provides highly synthesized, quantitative information for sustainable resource management.
  2. NPP is an important component of the biosphere carbon cycle, which is an important aspect of global climate change studies, i. e.,
Net Carbon Flow to/from Terrestrial Ecosystems (NEP) = NPP - Soil Respiration (gram carbon/square metre/year)

How is NPP estimated at CCRS?

A process-based computer model, the Boreal Ecosystem Productivity Simulator (BEPS) in Figure 1, has been developed to mimic plant growth and provide estimates of NPP. BEPS computes, in daily steps: soil water balance, stomatal conductance, sunlit and shaded leaf area index, sunlit and shaded leaf gross photosynthesis, total gross canopy photosynthesis, maintenance and growth respiration of leaves, stems and roots. It outputs NPP, evapotranspiration, and other parameters of interest.

These values can be computed for individual stands or larger areas. In the current implementation, BEPS results are provided for each 1 km2 (100 hectares) of Canada in Figure 2 because of the resolution of the satellite data. In the future, we expect to compute Canada-wide estimates with better resolution, between 6 and 25 hectares.

Remote sensing inputs for BEPS are leaf area index (LAI) (10-day intervals) and land cover (yearly). Meteorological inputs include daily values of maximum and minimum air temperature, total solar radiation, mean humidity, and total precipitation. Soil data used are the available soil water capacity (or soil texture). Both meteorological and soil data are gridded in the same resolution and map projection as the remote sensing inputs.


What are the advantages of BEPS?

  1. Made possible the production of the first-ever NPP map over Canada at 1 km resolution in Figure 2.
  2. Satellite data are used to provide information on land cover and the seasonal variation in leaf area.
  3. Canopy photosynthesis is calculated using the leaf-level Farquhar's model after spatial scaling to the canopy and temporal integration to one day. The spatial scaling is made using a sunlit-shaded leaf separation method. The daily integration is achieved by considering the diurnal variability of meteorological conditions. An analytical solution to a simplified daily integration of the Farquhar's model is derived and used in BEPS. The non-linear effects of these conditions on carbon dioxide uptake prevented us from using arithmetic daily means. The simple big-leaf photosynthesis model was abandoned in the recent version of BEPS because of its inability to consider the non-linear effects of meteorological conditions on photosynthesis.
  4. Evapotranspiration is calculated using the Penman-Monteith model, but the canopy conductance calculation is modified to consider the non-linear effect of radiation on stomatal conductance in daily step calculations.
  5. The effects of the distinct canopy architecture on radiation absorption and sunlit-shaded leaf separation are considered through the use of a simple clumping index.
The index was derived from measurements of TRAC.

Why use satellite data?

  1. Rapid coverage of large areas
  2. Detection of inter-seasonal and inter-annual variations
  3. Consistent data quality
  4. No damage to plants
  5. Cost effectiveness

Do we validate the NPP maps?

Yes. The validation was first carried out using plot biomass data from Quebec converted to NPP. Recently, detailed validation was carried out using data from the BOReal Ecosystem-Atmospheric Study (BOREAS) in Figures 3 and 4. Using simultaneous carbon dioxide flux measurements above and below forest canopies, it was possible to validate NPP calculations at hourly and daily time steps for the first time. In this way, the components of BEPS could also be validated. They include gross photosynthesis, autotrophic respiration, radiation absorption, evapotranspiration, rainfall interception, and others. NPP will be further validated at landscape level.


References

Cihlar, J., J. M. Chen, Z. Li. 1997. "Seasonal AVHRR Multichannel Data Sets and Products for Scaling up Biospheric Processes". Journal of Geophysical Research 102:29625-29640.

Liu J., J.M. Chen, J. Cihlar and W.M. Park. 1997.  "A Process-Based Boreal Ecosystem Productivity Simulator Using Remote Sensing Inputs".  Remote Sensing of Environment, 62,158-175.

Running, S. W., and J. C. Coughlan. 1988. "A General Model of Forest Ecosystem Processes for Regional Applications I. Hydrological Balance, Canopy Gas Exchange and Primary Production Processes". Ecological Modelling 42: 125-154.


© Revised: Mar., 2005