Solar-Induced Fluorescence as Indicator of Downy Oak and the Influence of Some Environmental Variables at the End of the Growing Season

In the context of global warming, which is mainly due to the increasing atmospheric concentration of carbon dioxide, the prediction of climate change requires a good assessment of the involvement of vegetation in the global carbon cycle. In particular, determining when vegetative activity ceases in deciduous forests remains a great challenge. Remote sensing of solar-induced fluorescence (SIF) has been considered as a potential proxy for ecosystem photosynthesis and, therefore, a relevant indicator of the end of the vegetation period as compared to other vegetation indices, such as EVI (Enhanced Vegetation Index) and NDVI (Normalized Difference Vegetation Index). However, many challenges remain to be addressed due to the lack of knowledge of the response of SIF at different time scales, different species and different environmental conditions. The aim of this study was to explore the diurnal and seasonal variations in the SIFA and SIFB signals in a pubescent oak forest undergoing senescence. We show that apparent SIFA yield may be considered an earlier indicator of the end of the vegetation period compared to NDVI, which primarily reflects the ratio of SIFB/SIFA. The apparent SIFA yield signal was positively and highly correlated with PRI (Photochemical Reflectance Index), EVI and NDVI. Air contents in CO2 and O3 were similarly significantly correlated to SIFs emission but only during the growth phase of the phenology of Q. pubescens. At the seasonal scale, the results show that SIF variations were mainly driven by variations in PAR, air VPD and temperature. A higher dependence of the SIF signal on these last three variables was observed at the diurnal scale through Pearson correlation coefficients, which were greater than seasonal ones.

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Publication Details

Journal
Remote Sensing
Published
2025-04-01
DOI
https://doi.org/10.3390/rs17071252
Primary Topic
Plant responses to elevated CO2
Type
article
Field-Weighted Citation Impact
0.00

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article

Solar-Induced Fluorescence as Indicator of Downy Oak and the Influence of Some Environmental Variables at the End of the Growing Season

Ilja M. Reiter, Tommaso Julitta, F. Miglietta, Irène Xueref-Rémy et al.
Remote Sensing
Plant responses to elevated CO2
article

Solar-Induced Fluorescence as Indicator of Downy Oak and the Influence of Some Environmental Variables at the End of the Growing Season

Ilja M. Reiter, Tommaso Julitta, F. Miglietta, Irène Xueref-Rémy, Jean‐Philippe Mévy, Antoine Baulard
article en

Abstract

In the context of global warming, which is mainly due to the increasing atmospheric concentration of carbon dioxide, the prediction of climate change requires a good assessment of the involvement of vegetation in the global carbon cycle. In particular, determining when vegetative activity ceases in deciduous forests remains a great challenge. Remote sensing of solar-induced fluorescence (SIF) has been considered as a potential proxy for ecosystem photosynthesis and, therefore, a relevant indicator of the end of the vegetation period as compared to other vegetation indices, such as EVI (Enhanced Vegetation Index) and NDVI (Normalized Difference Vegetation Index). However, many challenges remain to be addressed due to the lack of knowledge of the response of SIF at different time scales, different species and different environmental conditions. The aim of this study was to explore the diurnal and seasonal variations in the SIFA and SIFB signals in a pubescent oak forest undergoing senescence. We show that apparent SIFA yield may be considered an earlier indicator of the end of the vegetation period compared to NDVI, which primarily reflects the ratio of SIFB/SIFA. The apparent SIFA yield signal was positively and highly correlated with PRI (Photochemical Reflectance Index), EVI and NDVI. Air contents in CO2 and O3 were similarly significantly correlated to SIFs emission but only during the growth phase of the phenology of Q. pubescens. At the seasonal scale, the results show that SIF variations were mainly driven by variations in PAR, air VPD and temperature. A higher dependence of the SIF signal on these last three variables was observed at the diurnal scale through Pearson correlation coefficients, which were greater than seasonal ones.

Remote SensingVol. 17(7)
Centre National de la Recherche Scientifique (FR), Aix-Marseille Université (FR), Istituto di Biometeorologia (IT), Institut de Recherche pour le Développement (FR)
European Space Agency
Life in Land
Openalex Percentile: Top 96%
Plant responses to elevated CO2
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