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Abstract
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A Dynamic Global Vegetation Model (DGVM) has been developed as a new
feature of the NASA-CASA (Carnegie Ames Stanford Approach) ecosystem
production and trace gas model (Potter and Klooster. 1997). This DGVM
includes seasonal phenology algorithms calibrated using global
inter-annual data sets from the Advanced Very High Resolution (AVHRR)
satellite "greenness" index (Potter and Brooks - 1998). The coupled
CASA-DGVM design is based on a resource-ratio hypothesis of vegetation
change, namely (1) plant competition for resources (water and light)
over relatively short time periods of months and seasons, and (2) the
long-term pattern in the supply of growth-limiting resources such as
water and nutrients, i.e., the resource-supply trajectory. The model
generates global gridded estimates of primary production, above and
below ground biomass, leaf area index (LAI), and trace gas fluxes.
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