Strong radiative effect induced by clouds and smoke on forest net ecosystem 
productivity in central Siberia

Park, Sun-Bin; Knohl, A.; Lucas-Moffat, A.; Migliavacca, Mirco; Gerbig, Christoph; Vesala, T.; Peltola, O.; Mammarella, I.; Kolle, Olaf; Lavrič, J. V.; Prokushkin, A.; Heimann, Martin

doi:10.1016/j.agrformet.2017.09.009

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Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia

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Park, Sun-Bin
Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;
IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62486

Migliavacca, Mirco
Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62381

Gerbig, Christoph
Airborne Trace Gas Measurements and Mesoscale Modelling, Dr. habil. C. Gerbig, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62444

Kolle, Olaf
Service Facility Field Measurements & Instrumentation, O. Kolle, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62457

Lavrič, J. V.
Tall Tower Atmospheric Gas Measurements, Dr. J. Lavrič, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62402

Heimann, Martin
Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Citation

Park, S.-B., Knohl, A., Lucas-Moffat, A., Migliavacca, M., Gerbig, C., Vesala, T., et al. (2018). Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia. Agricultural and Forest Meteorology, 250-251, 376-387. doi:10.1016/j.agrformet.2017.09.009.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-FB7A-8

Abstract

Aerosols produced by wildfires are a common phenomenon in boreal regions. For the Siberian taiga, it is still an open question if the effects of aerosols on atmospheric conditions increase net CO2 uptake or photosynthesis. We investigated the factors controlling forest net ecosystem productivity (NEP) and explored how clouds and smoke modulate radiation as a major factor controlling NEP during fire events in the years 2012 and 2013. To characterize the underlying mechanisms of the NEP response to environmental drivers, Artificial Neural Networks (ANNs) were trained by eddy covariance flux measurements nearby the Zotino Tall Tower Observatory (ZOTTO). Total photosynthetically active radiation, vapour pressure deficit, and diffuse fraction explain at about 54–58% of NEP variability. NEP shows a strong negative sensitivity to VPD, and a small positive to fdif. A strong diffuse radiation fertilization effect does not exist at ZOTTO forest due to the combined effects of low light intensity, sparse canopy and low leaf area index. Results suggests that light intensity and canopy structure are important factors of the overall diffuse radiation fertilization effect.