Abstract. Spatial and temporal variations in atmospheric carbon dioxide (CO2)
reflect large-scale net carbon exchange between the atmosphere and
terrestrial ecosystems. Soil heterotrophic respiration (HR) is one of the
component fluxes that drive this net exchange, but, given observational
limitations, it is difficult to quantify this flux or to evaluate
global-scale model simulations thereof. Here, we show that atmospheric
CO2 can provide a useful constraint on large-scale patterns of soil
heterotrophic respiration. We analyze three soil model configurations
(CASA-CNP, MIMICS, and CORPSE) that simulate HR fluxes within a
biogeochemical test bed that provides each model with identical net primary
productivity (NPP) and climate forcings. We subsequently quantify the
effects of variation in simulated terrestrial carbon fluxes (NPP and HR from
the three soil test-bed models) on atmospheric CO2 distributions using a
three-dimensional atmospheric tracer transport model. Our results show that
atmospheric CO2 observations can be used to identify deficiencies in
model simulations of the seasonal cycle and interannual variability in HR
relative to NPP. In particular, the two models that explicitly simulated
microbial processes (MIMICS and CORPSE) were more variable than observations
at interannual timescales and showed a stronger-than-observed temperature
sensitivity. Our results prompt future research directions to use
atmospheric CO2, in combination with additional constraints on
terrestrial productivity or soil carbon stocks, for evaluating HR fluxes.