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Evaluation of process-based carbon flux drivers through geo-statistical models
There remain significant uncertainties as to the magnitude and location of terrestrial carbon sources and sinks. Biospheric models aim to describe the biophysical and ecological processes to estimate terrestrial CO2 flux although these models cannot always reproduce measured CO2 concentrations when coupled with an atmospheric transport model. The proposed research seeks to improve our understanding of the relationship between critical biosphysical and ecological processes and atmospheric carbon dioxide flux. The primary objective of the proposed research is to use geostatistical methods (geostatistical inversion and dual kriging) to characterize the relationships between fluxes and auxiliary environmental data and develop process-based understanding of variables controlling biospheric CO2 fluxes at several spatial and temporal scales. The proposed research is comprised of two principal parts. First, the research will involve a landscape dual kriging study for small spatiotemporal scales to intimately investigate the relationship between environmental parameters and CO2 flux. Second, a regional geostatistical inversion of North America will be performed using coarser resolutions to determine how differing scales affect relationships between environmental variables and CO2 fluxes. This research will take advantage of the resources of the University of Michigan Biological Station (UMBS) and the comprehensive ecological understanding of the site to help investigate the complex biologic and atmospheric interactions. Specifically, the proposed research will utilize AmeriFlux tower data and other complied environmental parameters of the surrounding landscape.
UMBS AmeriFlux Tower