Preprints
https://doi.org/10.5194/egusphere-2026-1822
https://doi.org/10.5194/egusphere-2026-1822
27 Apr 2026
 | 27 Apr 2026
Status: this preprint is open for discussion and under review for Biogeosciences (BG).

Evaluating vegetation indices for monitoring drought and post-drought declines in European forest productivity

Julia Kelly, Tim Schacherl, Lars Eklundh, Hongxiao Jin, Anne Klosterhalfen, Alexander Knohl, and Natascha Kljun

Abstract. Drought is causing increasingly severe and widespread negative impacts on forest gross primary productivity (GPP) but modelling these impacts over large spatial scales with remote sensing data is challenging. It is especially problematic in forests which have lower spectral sensitivity to drought compared to other ecosystems and where the timing of vegetation index (VI) response may lag GPP. We tested the ability of 12 MODIS variables (land surface temperature, leaf area index, fraction absorbed photosynthetic active radiation and nine VIs) to capture drought-induced reductions in GPP at 18 forest sites across Europe. Our analysis quantified the time lags between the Standardized Precipitation Evapotranspiration Index, GPP and VI response to drought as well as legacy effects in the first year post-drought. We found that land surface temperature was the only MODIS variable that showed significant change between drought and non-drought reference periods at both deciduous broadleaf and evergreen coniferous forests. At deciduous sites, the Chlorophyll/Carotenoid Index, Normalized Difference Water Index and Normalized Difference Vegetation Index (NDVI) were also significantly reduced during drought while the near infrared reflectance index (NIRv) was significantly reduced at coniferous sites. There were substantial variations in the magnitude and timing of drought response among the VIs which we relate to drought-induced changes in tree physiology and their differences between the five tree species represented at the study sites. VIs related to canopy structure (NDVI, Plant Phenology Index and NIRv) remained low in the first year following drought at both broadleaf and coniferous sites, even though GPP recovered to long-term mean values, implying a significant decoupling between GPP and these VIs post-drought. Remote sensing-based GPP models based on these structural indices alone may thus overestimate drought impacts on GPP and underestimate forest resilience to drought.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Biogeosciences.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Julia Kelly, Tim Schacherl, Lars Eklundh, Hongxiao Jin, Anne Klosterhalfen, Alexander Knohl, and Natascha Kljun

Status: open (until 08 Jun 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Julia Kelly, Tim Schacherl, Lars Eklundh, Hongxiao Jin, Anne Klosterhalfen, Alexander Knohl, and Natascha Kljun
Julia Kelly, Tim Schacherl, Lars Eklundh, Hongxiao Jin, Anne Klosterhalfen, Alexander Knohl, and Natascha Kljun
Metrics will be available soon.
Latest update: 27 Apr 2026
Download
Short summary
It is vital to monitor drought-related reductions in forest productivity over large areas. We tested the ability of 12 satellite variables to capture negative drought impacts on forest productivity across 18 European forest sites. Surface temperature worked best across all forest sites and droughts. After drought, forest productivity recovered faster than some commonly-used satellite variables, meaning use of these variables may underestimate forests’ resilience to drought.
Share