1 / 1

PARAMETERIZATION AND VALIDATION OF BIOGEOCHEMICAL MODEL CASA

Input Data. Source. Precipitation. Rondonia (1999). Temperature. Potter et al. (1993). Land Use. Rondonia (1999). Soil Texture. Rondonia (1999). Solar Radiation. Potter et al. (1993). NDVI. USGS/EROS. AVHRR-NDVI. Solar Radiation. Temperature. Precipitation. Soil Moisture Submodel.

leora
Download Presentation

PARAMETERIZATION AND VALIDATION OF BIOGEOCHEMICAL MODEL CASA

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Input Data Source Precipitation Rondonia (1999) Temperature Potter et al. (1993) Land Use Rondonia (1999) Soil Texture Rondonia (1999) Solar Radiation Potter et al. (1993) NDVI USGS/EROS AVHRR-NDVI Solar Radiation Temperature Precipitation Soil Moisture Submodel POTTER, C.S.; RANDERSON, J.T.; FIELD, C.B.; MATSON, P.A.; VITOUSEK, P.M.; MOONEY, H.A.; KLOOSTER, S.A. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochemical Cycles, v.7, n.4, p.811-841, 1993. RONDONIA. Secretaria de Estado do Planejamento e Coordenacao Geral. Porto Velho-RO, 1999. USGS/EROS. http://edcwww.cr.usgs.gov/landdaac.glcc/sa_int.html Net Primary Production Submodel Soil Texture N uptake Litterfall Below Ground Submodel Net Ecosystem Production decomposition Land Use respiration 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 Parameterize and validate the biogeochemical global scale CASA model (Potter et al., 1993), for use in a meso-scale area (Rondonia State). 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). 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 model’s 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)

More Related