Articles | Volume 18, issue 11
https://doi.org/10.5194/bg-18-3391-2021
© Author(s) 2021. 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-18-3391-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jun 2021
Research article |
| 07 Jun 2021
| 07 Jun 2021
A survey of proximal methods for monitoring leaf phenology in temperate deciduous forests
Kamel Soudani
CORRESPONDING AUTHOR
Ecologie
Systématique et Evolution, Université Paris-Saclay, CNRS, AgroParisTech, 91405, Orsay, France
Nicolas Delpierre
Ecologie
Systématique et Evolution, Université Paris-Saclay, CNRS, AgroParisTech, 91405, Orsay, France
Daniel Berveiller
Ecologie
Systématique et Evolution, Université Paris-Saclay, CNRS, AgroParisTech, 91405, Orsay, France
Gabriel Hmimina
Laboratoire de Météorologie Dynamique, IPSL, CNRS/UPMC,
Paris, France
Jean-Yves Pontailler
Ecologie
Systématique et Evolution, Université Paris-Saclay, CNRS, AgroParisTech, 91405, Orsay, France
Lou Seureau
Ecologie
Systématique et Evolution, Université Paris-Saclay, CNRS, AgroParisTech, 91405, Orsay, France
Gaëlle Vincent
Ecologie
Systématique et Evolution, Université Paris-Saclay, CNRS, AgroParisTech, 91405, Orsay, France
Éric Dufrêne
Ecologie
Systématique et Evolution, Université Paris-Saclay, CNRS, AgroParisTech, 91405, Orsay, France
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Short summary
We present an exhaustive comparative survey of eight proximal methods to estimate forest phenology. We focused on methodological aspects and thoroughly assessed deviations between predicted and observed phenological dates and pointed out their main causes. We show that proximal methods provide robust phenological metrics. They can be used to retrieve long-term phenological series at flux measurement sites and help interpret the interannual variability and trends of mass and energy exchanges.
We present an exhaustive comparative survey of eight proximal methods to estimate forest...
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