>Date: Sat, 08 Sep 2001 16:15:27 -0600
>To: <Steven_Wofsy@io.harvard.edu>, <chris@jasper.stanford.edu>, birdsey 
><rbirdsey@fs.fed.us>, David Price <dprice@nrcan.gc.ca>
>From: Dennis Ojima <dennis@nrel.colostate.edu>
>Subject: summary notes from discussion Sep 6 on integration of process 
>studies for terrestrial biosphere
>
>INTEGRATION STRATEGY FOR LAND PROCESSES
>Linking across space and time domains (bottom-up; top-down; fast-slow-long)
>Coupling atmospheric, environmental, and human dynamics on ecosystem 
>function and structure
>
>Model Analysis is a fundamental component of integration
>Dynamic coupling of human modified ecosystem dynamics with atmospheric 
>dynamics
>
>Development of data analytical strategy for synthesis
>
>SCALING ACROSS SPACE OR SITES (NESTED DESIGN)
>NA meso-k sites to bridge the gap between intensive (eg towers) and 
>extensive (eg FIA/NRI) observations
>                 NPP, estimate C exchange, C stocks, climate data, 
> ancillary data (vegetation structure, soil moisture, temperature, ppt, 
> N-dep, land use, soil properties, development, topography)
>SCALING ACROSS PROCESSES (TIME)
>
>         Develop process studies for scaling processes for integration
>         *       linking across scale of fast and slow processes
>         *       provide characteristic biophysical with Ps and Ra+Rh and 
> disturbance events
>         *       provide observations that are consistent across the scale 
> of observations
>
>
>         Scaling using multiple-tracers and isotopes
>
>Incorporate social dimension related to urban/development 
>patterns/demographics/industry that influence ecosystem structure and 
>processes (eg, woody encroachment, fire, etc)
>
>DISTINGUISH NEE AND NBP (NET C EXCHANGE) ALONG GRADIENTS
>         climate
>         inter-annual and seasonal
>         disturbance: land use, fire, pests, etc
>
>WHAT ARE THE PARAMETERS THAT ARE NEEDED FOR INTEGRATED MODELING
>Linking the data to models and models to data (use of extensive 
>characteristics for process and spatial scaling, e.g., soil texture, 
>vegetation type, topography, etc)
>
>Use of remote sensing and other extensive observations for integration of 
>temporal and spatial dynamics of net C exchanges
>         Identify points for integration across process
>Priority short-term needs:
>
>Common data sets to initialize models for net C exchange that provide 
>information on state conditions of C pools, land use histories, soil 
>properties, and climate.
>
>Develop a terrestrial carbon modeling consortium for continental scale 
>computation of the NEE to facilitate a common data, computational and 
>analytical framework and to facilitate model experiments to test 
>sensitivity of net C exchange to environmental factors including climate, 
>N deposition, land use change, urban environmental conditions etc
>
>Develop appropriate diagnostics for evaluating seasonal and interannual 
>NEE/NBP relative to flux time-series
>
>Model experiments to test sensitivity of net C exchange to environmental 
>factors including climate, N deposition, land use change, urban 
>environmental conditions etc
>
>Common data interface with atmospheric analysis and biospheric modeling
>
>Wetland modeling and CH4 production and consumption modeling
>
>thoughts on development of insitu measurements for carbon stocks that are 
>needed for initializing models
>
>------------------------------------------------------------------------------
>   Dennis Ojima
>   dennis@nrel.colostate.edu
>
>   Natural Resource Ecology Laboratory
>   B229 Natural and Environmental Science Building (NESB)
>   Colorado State University
>   Fort Collins, CO 80523-1499
>   Telephone:    (970) 491 1976
>   Fax:          (970) 491 1965


------------------------------------------------------------------------------
   Dennis Ojima
   dennis@nrel.colostate.edu

   Natural Resource Ecology Laboratory
   B229 Natural and Environmental Science Building (NESB)
   Colorado State University
   Fort Collins, CO 80523-1499
   Telephone:    (970) 491 1976
   Fax:          (970) 491 1965
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