Litcius/Paper detail

Divergent Estimates of Forest Photosynthetic Phenology Using Structural and Physiological Vegetation Indices

Gaofei Yin, Aleixandre Verger, Iolanda Filella, Adrià Descals, Josep Peñuelas

2020Geophysical Research Letters55 citationsDOIOpen Access PDF

Abstract

Abstract The accurate estimation of photosynthetic phenology using vegetation indices (VIs) is important for measuring the interannual variation of atmospheric CO 2 concentrations, but the relative performances of structural and physiological VIs remain unclear. We found that structural VIs (normalized difference VI, enhanced VI, and near‐infrared reflectance of vegetation) were suitable for estimating the start of the photosynthetically active season in deciduous broadleaf forests using gross primary production measured by FLUXNET as a benchmark, and a physiological VI (chlorophyll/carotenoid index) was better at identifying the end of the photosynthetically active season for deciduous broadleaf forests and both the start and end of season for evergreen needleleaf forests. The divergent performances were rooted in the combined control of structural and physiological regulations of carbon uptake by plants. Most existing studies of photosynthetic phenology have been based on structural VIs, so we suggest revisiting the dynamics of photosynthetic phenology using physiological VIs, which has significant implications on global plant phenology and carbon uptake studies.

Topics & Concepts

PhenologyEvergreenDeciduousPhotosynthetically active radiationPhotochemical Reflectance IndexVegetation (pathology)FluxNetEnvironmental sciencePhotosynthesisPrimary productionAtmospheric sciencesMonsoonGrowing seasonEcologyClimatologyEcosystemBiologyChlorophyll fluorescenceBotanyEddy covarianceMedicinePathologyGeologyPlant Water Relations and Carbon DynamicsAtmospheric and Environmental Gas DynamicsRemote Sensing in Agriculture