4.7 Article

Parallel Seasonal Patterns of Photosynthesis, Fluorescence, and Reflectance Indices in Boreal Trees

Journal

REMOTE SENSING
Volume 9, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/rs9070691

Keywords

boreal; phenology; photosynthesis; chlorophyll fluorescence; NDVI; PRI; CCI; SIF; winter downregulation

Funding

  1. iCORE/AITF [G224150012, 200700172]
  2. NSERC [RGPIN-2015-05129]
  3. CFI [26793]
  4. NASA ABoVE [NNX15AT78A]
  5. China Scholarship Council
  6. NASA [NNX15AT78A, 797154] Funding Source: Federal RePORTER

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Tree species in the boreal forest cycle between periods of active growth and dormancy alter their photosynthetic processes in response to changing environmental conditions. For deciduous species, these changes are readily visible, while evergreen species have subtler foliar changes during seasonal transitions. In this study, we used remotely sensed optical indices to observe seasonal changes in photosynthetic activity, or photosynthetic phenology, of six boreal tree species. We evaluated the normalized difference vegetation index (NDVI), the photochemical reflectance index (PRI), the chlorophyll/carotenoid index (CCI), and steady-state chlorophyll fluorescence (F-S) as a measure of solar-induced fluorescence (SIF), and compared these optical metrics to gas exchange to determine their efficacy in detecting seasonal changes in plant photosynthetic activity. The NDVI and PRI exhibited complementary responses. The NDVI paralleled photosynthetic phenology in deciduous species, but not in evergreens. The PRI closely paralleled photosynthetic activity in evergreens, but less so in deciduous species. The CCI and FS tracked photosynthetic phenology in both deciduous and evergreen species. The seasonal patterns of optical metrics and photosynthetic activity revealed subtle differences across and within functional groups. With the CCI and fluorescence becoming available from satellite sensors, they offer new opportunities for assessing photosynthetic phenology, particularly for evergreen species, which have been difficult to assess with previous methods.

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