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 |
---|---|
Main Authors: | , , , , , , , , , , , |
Other Authors: | , , , |
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 |