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Model-data fusion is a process in which field observations are used to constrain model parameters. How observations are used to constrain parameters has a direct impact on the carbon cycle dynamics simulated by ecosystem models. In this study, we present an evaluation of several options for the use of observations in modeling regional carbon dynamics and explore the implications of those options. We calibrated the Terrestrial Ecosystem Model on a hierarchy of three vegetation classification levels for the Alaskan boreal forest: species level, plant-functional-type level (PFT level), and biome level, and we examined the differences in simulated carbon dynamics. Species-specific field-based estimates were directly...
    map background search result map search result map Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies (COPY) Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies (COPY)