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BG | Articles | Volume 17, issue 15
BG | Articles | Volume 17, issue 15
Biogeosciences, 17, 3991–4006, 2020
https://doi.org/10.5194/bg-17-3991-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 17, 3991–4006, 2020
https://doi.org/10.5194/bg-17-3991-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
BG | Articles | Volume 17, issue 15

Research article 06 Aug 2020

Research article | 06 Aug 2020

Ecosystem physio-phenology revealed using circular statistics

Daniel E. Pabon-Moreno et al.

Supplement

https://doi.org/10.5194/bg-17-3991-2020-supplement

Data sets

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data Gilberto Pastorello, Carlo Trotta, and Eleonora Canfora et al. https://doi.org/10.1038/s41597-020-0534-3

Model code and software

Code-repository for the research paper: "Ecosystem Physio-phenology revealed using circular statistics" Daniel E. Pabon-Moreno, Talie Musavi, Mirco Migliavacca, Markus Reichstein, Christine Römermann, and Miguel D. Mahecha https://doi.org/10.5281/zenodo.3921892

Publications Copernicus
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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.
Ecosystem CO2 uptake changes in time depending on climate conditions. In this study, we analyze...
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Biogeosciences

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