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The impact of spatiotemporal variability in atmospheric CO2 concentration on global terrestrial carbon fluxes

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Figure

Figure 1. Schematic of the six simulations examined in this study, which were designed to isolate the impacts of the different facets’spatiotemporal CO2 variability on simulated carbon fluxes
Figure 3. Monthly mean of terrestrial NBP of the Catchment-CNmodel (blue), of the CASA GFED3 model (red) and of three at-mospheric inversions (dotted lines), for the period of 2004–2014.Positive (negative) NBP values indicate that land is a carbon sink(source).
Figure 4. (a) Change in mean global GPP (PgCmonth−1) due to removal of diurnal variability in atmospheric CO2 concentration (i.e., GPPfrom the dCO2 experiment minus that from the control)
Table 1. Changes in mean global GPP and NBP for 2001–2014, resulting from a series of simulations representing the removal of temporaland spatial variability in atmospheric CO2 concentrations
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