Articles | Volume 18, issue 11
https://doi.org/10.5194/bg-18-3391-2021
https://doi.org/10.5194/bg-18-3391-2021
Research article
 | 
07 Jun 2021
Research article |  | 07 Jun 2021

A survey of proximal methods for monitoring leaf phenology in temperate deciduous forests

Kamel Soudani, Nicolas Delpierre, Daniel Berveiller, Gabriel Hmimina, Jean-Yves Pontailler, Lou Seureau, Gaëlle Vincent, and Éric Dufrêne

Viewed

Total article views: 1,882 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,192 611 79 1,882 237 27 41
  • HTML: 1,192
  • PDF: 611
  • XML: 79
  • Total: 1,882
  • Supplement: 237
  • BibTeX: 27
  • EndNote: 41
Views and downloads (calculated since 02 Dec 2020)
Cumulative views and downloads (calculated since 02 Dec 2020)

Viewed (geographical distribution)

Total article views: 1,882 (including HTML, PDF, and XML) Thereof 1,666 with geography defined and 216 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint