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

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 (NE...

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Published in:Agricultural and Forest Meteorology
Main Authors: Park, Sung-Bin, Knohl, Alexander, Lucas-Moffat, Antje M., Migliavacca, Mirco, Gerbig, Christoph, Vesala, Timo, Peltola, Olli, Mammarella, Ivan, Kolle, Olaf, Lavrič, Jošt Valentin, Prokushkin, Anatoly, Heimann, Martin
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
Online Access:https://resolver.sub.uni-goettingen.de/purl?gro-2/62654
https://doi.org/10.1016/j.agrformet.2017.09.009
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spelling ftsubgoettingen:oai:publications.goettingen-research-online.de:2/62654 2023-09-05T13:23:40+02:00 Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia Park, Sung-Bin Knohl, Alexander Lucas-Moffat, Antje M. Migliavacca, Mirco Gerbig, Christoph Vesala, Timo Peltola, Olli Mammarella, Ivan Kolle, Olaf Lavrič, Jošt Valentin Prokushkin, Anatoly Heimann, Martin 2018 https://resolver.sub.uni-goettingen.de/purl?gro-2/62654 https://doi.org/10.1016/j.agrformet.2017.09.009 en eng 0168-1923 Fakultät für Forstwissenschaften und Waldökologie Büsgen-Institut Abteilung Bioklimatologie https://resolver.sub.uni-goettingen.de/purl?gro-2/62654 doi:10.1016/j.agrformet.2017.09.009 CC BY 4.0 journal_article original_ja yes published_version 2018 ftsubgoettingen https://doi.org/10.1016/j.agrformet.2017.09.009 2023-08-20T22:14:39Z 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. Article in Journal/Newspaper taiga Siberia Georg-August-Universität Göttingen: GoeScholar Agricultural and Forest Meteorology 250-251 376 387
institution Open Polar
collection Georg-August-Universität Göttingen: GoeScholar
op_collection_id ftsubgoettingen
language English
description 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.
format Article in Journal/Newspaper
author Park, Sung-Bin
Knohl, Alexander
Lucas-Moffat, Antje M.
Migliavacca, Mirco
Gerbig, Christoph
Vesala, Timo
Peltola, Olli
Mammarella, Ivan
Kolle, Olaf
Lavrič, Jošt Valentin
Prokushkin, Anatoly
Heimann, Martin
spellingShingle Park, Sung-Bin
Knohl, Alexander
Lucas-Moffat, Antje M.
Migliavacca, Mirco
Gerbig, Christoph
Vesala, Timo
Peltola, Olli
Mammarella, Ivan
Kolle, Olaf
Lavrič, Jošt Valentin
Prokushkin, Anatoly
Heimann, Martin
Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia
author_facet Park, Sung-Bin
Knohl, Alexander
Lucas-Moffat, Antje M.
Migliavacca, Mirco
Gerbig, Christoph
Vesala, Timo
Peltola, Olli
Mammarella, Ivan
Kolle, Olaf
Lavrič, Jošt Valentin
Prokushkin, Anatoly
Heimann, Martin
author_sort Park, Sung-Bin
title Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia
title_short Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia
title_full Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia
title_fullStr Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia
title_full_unstemmed Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia
title_sort strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central siberia
publishDate 2018
url https://resolver.sub.uni-goettingen.de/purl?gro-2/62654
https://doi.org/10.1016/j.agrformet.2017.09.009
genre taiga
Siberia
genre_facet taiga
Siberia
op_relation 0168-1923
Fakultät für Forstwissenschaften und Waldökologie
Büsgen-Institut
Abteilung Bioklimatologie
https://resolver.sub.uni-goettingen.de/purl?gro-2/62654
doi:10.1016/j.agrformet.2017.09.009
op_rights CC BY 4.0
op_doi https://doi.org/10.1016/j.agrformet.2017.09.009
container_title Agricultural and Forest Meteorology
container_volume 250-251
container_start_page 376
op_container_end_page 387
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