Abiotic Stress/Whole Plant Bio

Abstract

CS-14-1 - Seasonal dynamics in carotenoids can act as proxies for the remote detection of photosynthetic phenology in deciduous trees and evergreen conifers

Monday, July 16
1:03 PM - 1:23 PM

The ability of northern hemisphere forests to sequester carbon is highly variable over the course of the year and reflects seasonal variation in photosynthetic efficiency. This seasonal variation is most prominent during autumn, when leaves of deciduous tree species undergo senescence, which is associated with the downregulation of photosynthesis and a change of leaf color and leaf optical properties. Vegetation indices derived from remote sensing of leaf optical properties using e.g. spectral reflectance measurements are increasingly used to monitor and predict growing season length and seasonal variation in carbon sequestration. Here we compare leaf-level, canopy–level and drone based observations of leaf spectral reflectance measurements. We demonstrate that some of the widely used vegetation indices such as the normalized difference vegetation index (NDVI) and photochemical reflectance index (PRI) vary in their ability to adequately track the seasonal variation in photosynthetic efficiency and chlorophyll content. We further show that monitoring seasonal variation of photosynthesis using NDVI or PRI is particularly challenging in evergreen conifers, due to little seasonal variation in foliage. However, there is remarkable seasonal variation in leaf optical properties associated with changes in pools of xanthophyll cycle pigments and carotenoids that provide a promising way of monitoring photosynthetic phenology in evergreen conifers via leaf reflectance measurements.


 

Co-Authors

Chris Wong – University of Toronto; Altaf Arain – McMaster University; Nathalie Isabel – Natural Resources Canada, Canadian Forest Service; Petra D'Odorico – University of Toronto

Ingo Ensminger

Associate Professor
University of Toronto

Presentation(s):

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CS-14-1 - Seasonal dynamics in carotenoids can act as proxies for the remote detection of photosynthetic phenology in deciduous trees and evergreen conifers



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