The application and interpretation of Keeling plots in terrestrial carbon cycle 
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Pataki, D. E.; Ehleringer, J. R.; Flanagan, L. B.; Yakir, D.; Bowling, D. R.; Still, C. J.; Buchmann, N.; Kaplan, J. O.; Berry, J. A.

doi:10.1029/2001GB001850

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The application and interpretation of Keeling plots in terrestrial carbon cycle research

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Buchmann, N.
Research Group Biodiversity Ecosystem, Dr. N. Buchmann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Kaplan, J. O.
Department Biogeochemical Systems, Prof. D. Schimel, Max Planck Institute for Biogeochemistry, Max Planck Society;
Department Biogeochemical Systems, Prof. D. Schimel, Max Planck Institute for Biogeochemistry, Max Planck Society;

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http://dx.doi.org/10.1029/2001GB001850
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Citation

Pataki, D. E., Ehleringer, J. R., Flanagan, L. B., Yakir, D., Bowling, D. R., Still, C. J., et al. (2003). The application and interpretation of Keeling plots in terrestrial carbon cycle research. Global Biogeochemical Cycles, 17(1), 1022. doi:10.1029/2001GB001850.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-D0C5-2

Abstract

[1] Photosynthesis and respiration impart distinct isotopic signatures to the atmosphere that are used to constrain global carbon source/sink estimates and partition ecosystem fluxes. Increasingly, the "Keeling plot'' method is being used to determine the carbon isotope composition of ecosystem respiration (delta(13)C(R)) in order to better understand the processes controlling ecosystem isotope discrimination. In this paper we synthesize emergent patterns in delta(13)C(R) by analyzing 146 Keeling plots constructed at 33 sites across North and South America. In order to interpret results from disparate studies, we discuss the assumptions underlying the Keeling plot method and recommend standardized methods for determining delta(13)C(R). These include the use of regression calculations that account for error in the x variable, and constraining estimates of delta(13)C(R) to nighttime periods. We then recalculate delta(13)C(R) uniformly for all sites. We found a high degree of temporal and spatial variability in C-3 ecosystems, with individual observations ranging from -19.0 to -32.6parts per thousand. Mean C-3 ecosystem discrimination was 18.3parts per thousand. Precipitation was a major driver of both temporal and spatial variability of delta(13)C(R), suggesting (1) a large influence of recently fixed carbon on ecosystem respiration and (2) a significant effect of previous climatic effects on delta(13)CR. These results illustrate the importance of water availability as a key control on atmospheric (CO₂)-C-13 and highlight the potential of delta(13)C(R) as a useful tool for integrating environmental effects on dynamic canopy and ecosystem processes.