Articles | Volume 23, issue 18
https://doi.org/10.5194/bg-23-6465-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-6465-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Sep 2026
Research article |
| 17 Sep 2026
| 17 Sep 2026
How beech ecophysiology shapes temperate forest gross primary productivity – Part 1: A wavelet-based framework for extracting seasonal dynamics
Jonathan Bitton
CORRESPONDING AUTHOR
Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium
Catherine Charles
Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium
Bernard Longdoz
Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium
Bernard Heinesch
Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium
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Short summary
Seasonal changes in forest behavior are often hard to detect in carbon data. We developed a wavelet‑based approach to uncover how three beech forests grow and absorb carbon through seasons. The forests showed distinct spring growth, summer slowdowns and long‑term trends. All forests were carbon sinks with managed forests strengthening over time while the old forest weakened. We show how seasonal dynamics explain long‑term changes and offer a new tool for tracking forest responses to climate.
Seasonal changes in forest behavior are often hard to detect in carbon data. We developed a...
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