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Tytuł pozycji:

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

Tytuł :
The impact of spatiotemporal variability in atmospheric CO2 concentration on global terrestrial carbon fluxes.
Autorzy :
Eunjee Lee
Fan-Wei Zeng
Koster, Randal D.
Weir, Brad
Ott, Lesley E.
Poulter, Benjamin
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Temat :
ECOSYSTEMS
PRIMARY productivity (Biology)
CARBON cycle
BIOSPHERE
ATMOSPHERIC carbon dioxide
Źródło :
Biogeosciences Discussions; 2018, p1-32, 32p
Czasopismo naukowe
Land carbon fluxes, e.g., gross primary production (GPP) and net biome production (NBP), are controlled in part by the responses of terrestrial ecosystems to atmospheric conditions near the Earth's surface. The Coupled Model Intercomparison Project Phase 6 (CMIP6) has recently proposed increased spatial and temporal resolutions for the surface CO2 concentrations used to calculate GPP, and yet a comprehensive evaluation of the consequences of this increased resolution for carbon cycle dynamics is missing. Here, using global offline simulations with a terrestrial biosphere model, the sensitivity of terrestrial carbon cycle fluxes to multiple facets of the spatiotemporal variability of atmospheric CO2 is quantified. Globally, the spatial variability of CO2 is found to increase the mean global GPP by 0.2 PgC year-1, as more vegetated land areas benefit from higher CO2 concentrations induced by the inter-hemisphere gradient. The temporal variability of CO2, however, compensates for this increase, acting to reduce overall global GPP; in particular, consideration of the diurnal variability of atmospheric CO2 reduces multi-year mean global annual GPP by 0.5 PgC year-1 and net land carbon uptake by 0.1 PgC year-1. The relative contribution of the different facets of CO2 variability to GPP are found to vary regionally and seasonally, with the seasonal variation in atmospheric CO2, for example, having a notable impact on GPP in boreal regions during fall. Overall, in terms of estimating global GPP, the magnitudes of the sensitivities found here are minor, indicating that the common practice of applying spatially-uniform and annually increasing CO2 (without higher frequency temporal variability) in offline studies is a reasonable approach - the small errors induced by ignoring CO2 variability are undoubtedly swamped by other uncertainties in the offline calculations. Still, for certain regional- and seasonal-scale GPP estimations, the proper treatment of spatiotemporal CO2 variability appears important. [ABSTRACT FROM AUTHOR]
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