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...

Full description

Bibliographic Details
Published in:Agricultural and Forest Meteorology
Main Authors: Park, Sung-Bin, Knohl, Alexander, Lucas-Moffat, Antje M., Migliavacca, Mirco, Gerbig, Christoph, Vesala, Timo, Peltola, Oli, Mammarella, Ivan, Kolle, Olaf, Lavric, Jost Valentin, Prokushkin, Anatoly, Heimann, Martin
Other Authors: Viikki Plant Science Centre (ViPS), Institute for Atmospheric and Earth System Research (INAR), Department of Forest Sciences, Micrometeorology and biogeochemical cycles
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier Scientific Publ. Co 2018
Subjects:
Online Access:http://hdl.handle.net/10138/233936
id ftunivhelsihelda:oai:helda.helsinki.fi:10138/233936
record_format openpolar
institution Open Polar
collection HELDA – University of Helsinki Open Repository
op_collection_id ftunivhelsihelda
language English
topic Eddy covariance
Net ecosystem productivity
Smoke
Photosynthetically active radiation
Artificial neural networks
Central Siberia
CARBON-DIOXIDE EXCHANGE
AEROSOL LIGHT-SCATTERING
TOWER OBSERVATORY ZOTTO
BLACK SPRUCE FOREST
DIFFUSE-RADIATION
PLANT PRODUCTIVITY
PINE FOREST
TALL TOWER
ATMOSPHERIC PARTICLES
SOLAR-RADIATION
1172 Environmental sciences
4112 Forestry
spellingShingle Eddy covariance
Net ecosystem productivity
Smoke
Photosynthetically active radiation
Artificial neural networks
Central Siberia
CARBON-DIOXIDE EXCHANGE
AEROSOL LIGHT-SCATTERING
TOWER OBSERVATORY ZOTTO
BLACK SPRUCE FOREST
DIFFUSE-RADIATION
PLANT PRODUCTIVITY
PINE FOREST
TALL TOWER
ATMOSPHERIC PARTICLES
SOLAR-RADIATION
1172 Environmental sciences
4112 Forestry
Park, Sung-Bin
Knohl, Alexander
Lucas-Moffat, Antje M.
Migliavacca, Mirco
Gerbig, Christoph
Vesala, Timo
Peltola, Oli
Mammarella, Ivan
Kolle, Olaf
Lavric, Jost Valentin
Prokushkin, Anatoly
Heimann, Martin
Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia
topic_facet Eddy covariance
Net ecosystem productivity
Smoke
Photosynthetically active radiation
Artificial neural networks
Central Siberia
CARBON-DIOXIDE EXCHANGE
AEROSOL LIGHT-SCATTERING
TOWER OBSERVATORY ZOTTO
BLACK SPRUCE FOREST
DIFFUSE-RADIATION
PLANT PRODUCTIVITY
PINE FOREST
TALL TOWER
ATMOSPHERIC PARTICLES
SOLAR-RADIATION
1172 Environmental sciences
4112 Forestry
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 f(dlf). 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. Peer reviewed
author2 Viikki Plant Science Centre (ViPS)
Institute for Atmospheric and Earth System Research (INAR)
Department of Forest Sciences
Micrometeorology and biogeochemical cycles
format Article in Journal/Newspaper
author Park, Sung-Bin
Knohl, Alexander
Lucas-Moffat, Antje M.
Migliavacca, Mirco
Gerbig, Christoph
Vesala, Timo
Peltola, Oli
Mammarella, Ivan
Kolle, Olaf
Lavric, Jost Valentin
Prokushkin, Anatoly
Heimann, Martin
author_facet Park, Sung-Bin
Knohl, Alexander
Lucas-Moffat, Antje M.
Migliavacca, Mirco
Gerbig, Christoph
Vesala, Timo
Peltola, Oli
Mammarella, Ivan
Kolle, Olaf
Lavric, Jost 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
publisher Elsevier Scientific Publ. Co
publishDate 2018
url http://hdl.handle.net/10138/233936
genre taiga
Siberia
genre_facet taiga
Siberia
op_relation 10.1016/j.agrformet.2017.09.009
The ZOTTO project is funded by the Max Planck Society through the International Science and Technology Center (ISTC) partner project no. 2757 within the framework of the proposal "Observing and Understanding Biogeochemical Responses to Rapid Climate Changes in Eurasia". We would like to thank the technical staff (Karl Kubler, Steffen Schmidt, and Martin Hertel) from the Max Planck Institute for Biogeochemistry in Jena for maintaining the ZOTTO station and setting up the eddy covariance flux tower. For maintaining the flux tower, we deeply appreciate the work of Dr. Alexey Panov, Alexander Zukanov, Nikita Sidenko, Sergey Titov, and Anastasiya Timokhina from the V.N. Sukachev Institute of Forest in Krasnoyarsk, and many other supporters in Zotino. We also thank Dr. Yuanchao Fan and Dr. Ingo Schoning for their constructive comments on the draft. Special thanks go to Emily Zeran and Dr. Andrew Durso for the proof reading and Mikhail Urbazaev and Yu Okamura for assisting in preparation of Figs. 1, 4, and 5. A. Prokushkin is supported by grant RSF #14-24-00113. S.-B. Park acknowledges the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC). We greatly appreciate the reviewers' comments and suggestions.
Park , S-B , Knohl , A , Lucas-Moffat , A M , Migliavacca , M , Gerbig , C , Vesala , T , Peltola , O , Mammarella , I , Kolle , O , Lavric , J V , Prokushkin , A & Heimann , M 2018 , ' Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia ' , Agricultural and Forest Meteorology , vol. 250-251 , pp. 376-387 . https://doi.org/10.1016/j.agrformet.2017.09.009
ORCID: /0000-0002-8516-3356/work/43467625
ORCID: /0000-0002-1744-6290/work/43467813
ORCID: /0000-0001-6296-5113/work/43467996
85040130134
e5254a06-3d44-4cbc-9c51-de930a274c74
http://hdl.handle.net/10138/233936
000427338400031
op_rights cc_by
openAccess
info:eu-repo/semantics/openAccess
container_title Agricultural and Forest Meteorology
container_volume 250-251
container_start_page 376
op_container_end_page 387
_version_ 1787428916347011072
spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/233936 2024-01-07T09:46:59+01:00 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, Oli Mammarella, Ivan Kolle, Olaf Lavric, Jost Valentin Prokushkin, Anatoly Heimann, Martin Viikki Plant Science Centre (ViPS) Institute for Atmospheric and Earth System Research (INAR) Department of Forest Sciences Micrometeorology and biogeochemical cycles 2018-04-05T07:53:01Z 12 application/pdf http://hdl.handle.net/10138/233936 eng eng Elsevier Scientific Publ. Co 10.1016/j.agrformet.2017.09.009 The ZOTTO project is funded by the Max Planck Society through the International Science and Technology Center (ISTC) partner project no. 2757 within the framework of the proposal "Observing and Understanding Biogeochemical Responses to Rapid Climate Changes in Eurasia". We would like to thank the technical staff (Karl Kubler, Steffen Schmidt, and Martin Hertel) from the Max Planck Institute for Biogeochemistry in Jena for maintaining the ZOTTO station and setting up the eddy covariance flux tower. For maintaining the flux tower, we deeply appreciate the work of Dr. Alexey Panov, Alexander Zukanov, Nikita Sidenko, Sergey Titov, and Anastasiya Timokhina from the V.N. Sukachev Institute of Forest in Krasnoyarsk, and many other supporters in Zotino. We also thank Dr. Yuanchao Fan and Dr. Ingo Schoning for their constructive comments on the draft. Special thanks go to Emily Zeran and Dr. Andrew Durso for the proof reading and Mikhail Urbazaev and Yu Okamura for assisting in preparation of Figs. 1, 4, and 5. A. Prokushkin is supported by grant RSF #14-24-00113. S.-B. Park acknowledges the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC). We greatly appreciate the reviewers' comments and suggestions. Park , S-B , Knohl , A , Lucas-Moffat , A M , Migliavacca , M , Gerbig , C , Vesala , T , Peltola , O , Mammarella , I , Kolle , O , Lavric , J V , Prokushkin , A & Heimann , M 2018 , ' Strong radiative effect induced by clouds and smoke on forest net ecosystem productivity in central Siberia ' , Agricultural and Forest Meteorology , vol. 250-251 , pp. 376-387 . https://doi.org/10.1016/j.agrformet.2017.09.009 ORCID: /0000-0002-8516-3356/work/43467625 ORCID: /0000-0002-1744-6290/work/43467813 ORCID: /0000-0001-6296-5113/work/43467996 85040130134 e5254a06-3d44-4cbc-9c51-de930a274c74 http://hdl.handle.net/10138/233936 000427338400031 cc_by openAccess info:eu-repo/semantics/openAccess Eddy covariance Net ecosystem productivity Smoke Photosynthetically active radiation Artificial neural networks Central Siberia CARBON-DIOXIDE EXCHANGE AEROSOL LIGHT-SCATTERING TOWER OBSERVATORY ZOTTO BLACK SPRUCE FOREST DIFFUSE-RADIATION PLANT PRODUCTIVITY PINE FOREST TALL TOWER ATMOSPHERIC PARTICLES SOLAR-RADIATION 1172 Environmental sciences 4112 Forestry Article publishedVersion 2018 ftunivhelsihelda 2023-12-14T00:11:50Z 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 f(dlf). 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. Peer reviewed Article in Journal/Newspaper taiga Siberia HELDA – University of Helsinki Open Repository Agricultural and Forest Meteorology 250-251 376 387