Articles | Volume 20, issue 12
https://doi.org/10.5194/bg-20-2455-2023
https://doi.org/10.5194/bg-20-2455-2023
Research article
 | 
28 Jun 2023
Research article |  | 28 Jun 2023

Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance

Alexander J. Norton, A. Anthony Bloom, Nicholas C. Parazoo, Paul A. Levine, Shuang Ma, Renato K. Braghiere, and T. Luke Smallman

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Cited articles

Albert, L. P., Restrepo‐Coupe, N., Smith, M. N., Wu, J., Chavana‐Bryant, C., Prohaska, N., Taylor, T. C., Martins, G. A., Ciais, P., Mao, J., Arain, M. A., Li, W., Shi, X., Ricciuto, D. M., Huxman, T. E., McMahon, S. M., and Saleska, S. R.: Cryptic phenology in plants: Case studies, implications, and recommendations, Glob. Change Biol., 25, 3591–3608, https://doi.org/10.1111/gcb.14759, 2019. a
Baldocchi, D.: TURNER REVIEW No. 15. 'Breathing' of the terrestrial biosphere: Lessons learned from a global network of carbon dioxide flux measurement systems, Aust. J. Bot., 56, 1–26, https://doi.org/10.1071/BT07151, 2008. a
Bloom, A. A. and Williams, M.: Constraining ecosystem carbon dynamics in a data-limited world: integrating ecological “common sense” in a model–data fusion framework, Biogeosciences, 12, 1299–1315, https://doi.org/10.5194/bg-12-1299-2015, 2015. a, b, c, d, e, f, g
Bloom, A. A., Exbrayat, J. F., Van Der Velde, I. R., Feng, L., and Williams, M.: The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times, P. Natl. Acad. Sci. USA, 113, 1285–1290, https://doi.org/10.1073/pnas.1515160113, 2016. a, b, c, d
Bloom, A. A., Bowman, K. W., Liu, J., Konings, A. G., Worden, J. R., Parazoo, N. C., Meyer, V., Reager, J. T., Worden, H. M., Jiang, Z., Quetin, G. R., Smallman, T. L., Exbrayat, J.-F., Yin, Y., Saatchi, S. S., Williams, M., and Schimel, D. S.: Lagged effects regulate the inter-annual variability of the tropical carbon balance, Biogeosciences, 17, 6393–6422, https://doi.org/10.5194/bg-17-6393-2020, 2020. a, b, c, d, e, f, g
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Short summary
This study explores how the representation of leaf phenology affects our ability to predict changes to the carbon balance of land ecosystems. We calibrate a new leaf phenology model against a diverse range of observations at six forest sites, showing that it improves the predictive capability of the processes underlying the ecosystem carbon balance. We then show how changes in temperature and rainfall affect the ecosystem carbon balance with this new model.
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