Articles | Volume 17, issue 15
https://doi.org/10.5194/bg-17-3991-2020
https://doi.org/10.5194/bg-17-3991-2020
Research article
 | 
06 Aug 2020
Research article |  | 06 Aug 2020

Ecosystem physio-phenology revealed using circular statistics

Daniel E. Pabon-Moreno, Talie Musavi, Mirco Migliavacca, Markus Reichstein, Christine Römermann, and Miguel D. Mahecha

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Cited articles

Agostinelli, C. and Lund, U.: R package circular: Circular Statistics (version 0.4-93), CA: Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University, Venice, Italys UL: Department of Statistics, California Polytechnic State University, San Luis Obispo, California, USA, available at: https://r-forge.r-project.org/projects/circular/, last access: 29 June 2017. a
Archibald, S. A., Kirton, A., van der Merwe, M. R., Scholes, R. J., Williams, C. A., and Hanan, N.: Drivers of inter-annual variability in Net Ecosystem Exchange in a semi-arid savanna ecosystem, South Africa, Biogeosciences, 6, 251–266, https://doi.org/10.5194/bg-6-251-2009, 2009. a
Asse, D., Randin, C. F., Bonhomme, M., Delestrade, A., and Chuine, I.: Process-based models outcompete correlative models in projecting spring phenology of trees in a future warmer climate, Agr. Forest Meteorol., 285–286, 107931, https://doi.org/10.1016/j.agrformet.2020.107931, 2020. a
Aubinet, M., Chermanne, B., Vandenhaute, M., Longdoz, B., Yernaux, M., and Laitat, E.: Long term carbon dioxide exchange above a mixed forest in the Belgian Ardennes, Agr. Forest Meteorol., 108, 293–315, https://doi.org/10.1016/S0168-1923(01)00244-1, 2001. a
Aubinet, M., Vesala, T., and Papale, D. (Eds.): Eddy Covariance: A Practical Guide to Measurement and Data Analysis, Springer Atmospheric Sciences, Springer Netherlands, 2012. a
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Ecosystem CO2 uptake changes in time depending on climate conditions. In this study, we analyze how different climate variables affect the timing when CO2 uptake is at a maximum (DOYGPPmax). We found that the joint effects of radiation, temperature, and vapor pressure deficit are the most relevant controlling factors of DOYGPPmax and that if they increase, DOYGPPmax will happen earlier. These results help us to better understand how CO2 uptake could be affected by climate change.
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