4.7 Article

An assessment of the carbon balance of Arctic tundra: comparisons among observations, process models, and atmospheric inversions

Journal

BIOGEOSCIENCES
Volume 9, Issue 8, Pages 3185-3204

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/bg-9-3185-2012

Keywords

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Funding

  1. National Science Foundation
  2. US Geological Survey
  3. US Fish and Wildlife Service
  4. US Department of Energy Office of Science (Biological and Environmental Research)
  5. US National Aeronautics and Space Administration Terrestrial Ecology program
  6. European Union RTN GREENCYCLES II network
  7. Swedish Research Council VR
  8. FORMAS
  9. Greenland Climate Research Center
  10. Mistra Swedish Research Programme for Climate, Impacts and Adaptation
  11. Lund University research programme Modelling the Regional and Global Earth System
  12. European Union 6th Framework CARBO-North project
  13. Lund University Centre for Studies of Carbon Cycle and Climate Interactions
  14. NERC [NE/H000437/1, NE/K000292/1] Funding Source: UKRI
  15. Natural Environment Research Council [NE/H000437/1, NE/K000292/1] Funding Source: researchfish
  16. Directorate For Geosciences [1107892] Funding Source: National Science Foundation

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Although Arctic tundra has been estimated to cover only 8% of the global land surface, the large and potentially labile carbon pools currently stored in tundra soils have the potential for large emissions of carbon (C) under a warming climate. These emissions as radiatively active greenhouse gases in the form of both CO2 and CH4 could amplify global warming. Given the potential sensitivity of these ecosystems to climate change and the expectation that the Arctic will experience appreciable warming over the next century, it is important to assess whether responses of C exchange in tundra regions are likely to enhance or mitigate warming. In this study we compared analyses of C exchange of Arctic tundra between 1990 and 2006 among observations, regional and global applications of process-based terrestrial biosphere models, and atmospheric inversion models. Syntheses of flux observations and inversion models indicate that the annual exchange of CO2 between Arctic tundra and the atmosphere has large uncertainties that cannot be distinguished from neutral balance. The mean estimate from an ensemble of process-based model simulations suggests that Arctic tundra has acted as a sink for atmospheric CO2 in recent decades, but based on the uncertainty estimates it cannot be determined with confidence whether these ecosystems represent a weak or a strong sink. Tundra was 0.6 A degrees C warmer in the 2000s compared to the 1990s. The central estimates of the observations, process-based models, and inversion models each identify stronger sinks in the 2000s compared with the 1990s. Some of the process models indicate that this occurred because net primary production increased more in response to warming than heterotrophic respiration. Similarly, the observations and the applications of regional process-based models suggest that CH4 emissions from Arctic tundra have increased from the 1990s to 2000s because of the sensitivity of CH4 emissions to warmer temperatures. Based on our analyses of the estimates from observations, process-based models, and inversion models, we estimate that Arctic tundra was a sink for atmospheric CO2 of 110 Tg C yr(-1) (uncertainty between a sink of 291 Tg C yr(-1) and a source of 80 Tg C yr(-1)) and a source of CH4 to the atmosphere of 19 Tg C yr(-1) (uncertainty between sources of 8 and 29 Tg C yr(-1)). The suite of analyses conducted in this study indicate that it is important to reduce uncertainties in the observations, process-based models, and inversions in order to better understand the degree to which Arctic tundra is influencing atmospheric CO2 and CH4 concentrations. The reduction of uncertainties can be accomplished through (1) the strategic placement of more CO2 and CH4 monitoring stations to reduce uncertainties in inversions, (2) improved observation networks of ground-based measurements of CO2 and CH4 exchange to understand exchange in response to disturbance and across gradients of climatic and hydrological variability, and (3) the effective transfer of information from enhanced observation networks into process-based models to improve the simulation of CO2 and CH4 exchange from Arctic tundra to the atmosphere.

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