Articles | Volume 23, issue 3
https://doi.org/10.5194/bg-23-1223-2026
https://doi.org/10.5194/bg-23-1223-2026
Research article
 | 
12 Feb 2026
Research article |  | 12 Feb 2026

Satellite-derived Ecosystem Functional Types capture ecosystem functional heterogeneity at regional scale

Beatriz P. Cazorla, Ana Meijide, Javier Cabello, Julio Peñas, Javier Martínez-López, Rodrigo Vargas, Leonardo Montagnani, Alexander Knohl, Lukas Siebicke, Benimiano Gioli, Jiří Dušek, Ladislav Šigut, Andreas Ibrom, Georg Wohlfahrt, Eugénie Paul-Limoges, Kathrin Fuchs, Antonio Manco, Marian Pavelka, Lutz Merbold, Lukas Hörtnagl, Pierpaolo Duce, Ignacio Goded, Kim Pilegaard, and Domingo Alcaraz-Segura

Data sets

Satellite-derived Ecosystem Functional Types (EFTs) of Europe B. P. Cazorla et al. https://zenodo.org/records/18325891

Model code and software

ajpelu/eftsn_gee: first release B. Cazorla and D. Alcaraz-Segura https://doi.org/10.5281/zenodo.7524973

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Short summary
We assess whether satellite-derived Ecosystem Functional Types (EFTs) reflect spatial heterogeneity in carbon fluxes across Europe. Using Eddy Covariance data from 50 sites, we show that EFTs capture distinct Net Ecosystem Exchange dynamics and perform slightly better than Plant Functional Types (PFTs). EFTs offer a scalable, annually updatable approach to monitor ecosystem functioning and its interannual variability.
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