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

MPG-Autoren
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Park,  Sung-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;

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

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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;

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

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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;
Tall Tower Atmospheric Gas Measurements, Dr. J. Lavrič, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society;

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

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Zitation

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.


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