Biogeosciences
Biogeosciences
Biogeosciences
Articles | Volume 18, issue 11
Articles | Volume 18, issue 11
Biogeosciences, 18, 3391–3408, 2021
https://doi.org/10.5194/bg-18-3391-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 18, 3391–3408, 2021
https://doi.org/10.5194/bg-18-3391-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 11
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 et al.

Viewed

Total article views: 1,262 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
802 398 62 1,262 134 11 24
  • HTML: 802
  • PDF: 398
  • XML: 62
  • Total: 1,262
  • Supplement: 134
  • BibTeX: 11
  • EndNote: 24
Views and downloads (calculated since 02 Dec 2020)
Cumulative views and downloads (calculated since 02 Dec 2020)

Viewed (geographical distribution)

Total article views: 1,052 (including HTML, PDF, and XML) Thereof 1,049 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2022
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.
Read more
Altmetrics
Final-revised paper
Preprint