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...
Published in: | Agricultural and Forest Meteorology |
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Main Authors: | , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2018
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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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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 |
_version_ |
1776204255153094656 |