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Remote sensing of photosynthetic-light-use efficiency of a Siberian boreal forest

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Lloyd,  J.
Research Group Carbon-Change Atmosphere, Dr. J. Lloyd, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Arneth,  A.
Research Group Biodiversity Ecosystem, Dr. N. Buchmann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Knohl,  A.
Department Biogeochemical Processes, Prof. E.-D. Schulze, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Citation

Nichol, C. J., Lloyd, J., Shibistova, O., Arneth, A., Röser, C., Knohl, A., et al. (2002). Remote sensing of photosynthetic-light-use efficiency of a Siberian boreal forest. Tellus, Series B - Chemical and Physical Meteorology, 54(5), 677-687. doi:10.1034/j.1600-0889.2002.01347.x.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-CF82-A
Abstract
The relationship between a physiological index called the photochemical reflectance index (PRI) and photosynthetic light- use-efficiency (LUE) of a Siberian boreal forest during the winter-spring transition, or green-up period, was investigated in 2000. During this time the photosynthetic apparatus was considered under stress as a result of extremes of temperature (from -20 to 35 degreesC) coupled with a high radiation load. Reflectance measurements of four stands were made from a helicopter-mounted spectroradiometer and PRI was calculated from these data. Eddy covariance towers were operating at the four stands and offered a means to calculate LUE. A significant linear relationship was apparent between PRI, calculated from the helicopter spectral data, and LUE, calculated from the eddy covariance data, for the four sites sampled. Reflectance measurements were also made of a Scots pine stand from the eddy covariance tower. Needles were also sampled during the time of spectral data acquisition for xanthophyll pigment determination. Strong linear relationships were observed among PRI, the epoxidation state of the xanthophyll cycle (EPS) and LUE over the green-up period and the diurnal cycle at the canopy scale.