Evaluating vegetation indices for monitoring drought and post-drought declines in European forest productivity
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 that have lower spectral sensitivity to drought compared to other ecosystems and where the timing of vegetation index (VI) response may lag GPP. However, the length of time lags between drought start, GPP and VI response in forests have not been quantified or compared among VIs. 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 from ICOS and FLUXNET eddy covariance data 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 genera 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 (although not statistically significant), while GPP often recovered to long-term mean values, implying possible post-drought decoupling between GPP and these VIs.
Authors
- Natascha Kljun (ORCID: https://orcid.org/0000-0001-9650-2184)
- Tim Schacherl
- Anne Klosterhalfen (ORCID: https://orcid.org/0000-0001-7999-8966)
- Lars Eklundh (ORCID: https://orcid.org/0000-0001-7644-6517)
- Alexander Knohl (ORCID: https://orcid.org/0000-0002-7615-8870)
- Hongxiao Jin (ORCID: https://orcid.org/0000-0003-3100-7814)
- Julia Kelly (ORCID: https://orcid.org/0000-0002-7370-1401)
Institutions
- Lund University (SE)
- Lund Science (Sweden) (SE)
- University of Göttingen (DE)
Publication Details
- Journal
- Biogeosciences
- Published
- 2026-09-18
- DOI
- https://doi.org/10.5194/bg-23-6557-2026
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Volkswagen Foundation
- Horizon 2020 Framework Programme