PARAMETERIZATION AND VALIDATION OF BIOGEOCHEMICAL MODEL CASA

1
PARAMETERIZATION AND VALIDATION OF BIOGEOCHEMICAL
MODEL CASA IN A MESO-SCALE AREA (RONDONIA
STATE) Silva, A.M.S.1,2 Ballester, M.V.R.1
Martinelli, L. A.1 Skole, D.2 Chomentoski, W.2
Victoria, R.L.1 Mayorga, E.3 Sponsor
FAPESP/MSU 1. Centro de Energia Nuclear na
Agricultura, 2. Michigan State University, 3.
University of Washington
INTRODUCTION
METHODOLOGY
OVERALL OBJECTIVE
CASA (Carnegie-Ames-Stanford approach) It runs
on a monthly time interval to simulate seasonal
patterns in net plant carbon fixation, biomass
and nutrient allocation, litterfall, soil
nitrogen mineralization and CO2 production
(global scale).
Parameterize and validate the biogeochemical
global scale CASA model (Potter et al., 1993),
for use in a meso-scale area (Rondonia State).
In Brazil, the policies for agricultural and
industrial development are dictated, in its great
majority, by economical, social and political
factors. Functional and structural alterations in
ecosystem, which could appear as a result of such
activities, are sometimes unknown. One of the
main aspects that contributes to this type of
behaviour is the difficulty to foresee the local,
regional and global alterations that will happen
in the environment as a consequence of such
activities. The use of mathematical models is an
important tool in this type of environmental
forecasts.
REGIONAL STUDIES
1. Evaluate the effects of land use/cover changes
in net primary production, potential
evapotranspiration and cycling of nutrients 2.
Evaluate how the spatial resolution of input data
affects models forecast capacity.
STUDY AREA
Model integration framework
BIBLIOGRAPHY
DISCUSSION
Rondonia State (237, 472 km2 )
The model behaved as expected, with the output
results been consistent with the input data. As
can be seen by the differences between the rainy
and dry months.
RESULTS
Figure 1. Soil moisture (m)
Figure 2. Net primary production (gC.m-2.mo-1)
FUTURE WORK
? Simulations to show temporal and spatial
patterns ? Validation of the model
Figure 3. Estimated Evapotranspiration (m.mo-1)
Figure 4. Potential Evapotranspiration (m.mo-1)