A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes

The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (R-eco) of carbon dioxide (CO2) and methane (CH4) emissions, but an effective framework to monitor the regional Arctic NECB is lac...

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Published in:Biogeosciences
Main Authors: Watts, J. D., Kimball, J. S., Parmentier, Frans-Jan, Sachs, T., Rinne, J., Zona, D., Oechel, W., Tagesson, T., Jackowicz-Korczynski, Marcin, Aurela, M.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2014
Subjects:
Online Access:https://lup.lub.lu.se/record/4496091
https://doi.org/10.5194/bg-11-1961-2014
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spelling ftulundlup:oai:lup.lub.lu.se:c461836d-e6fd-4ce5-a314-93c3f87cf6f4 2023-05-15T14:59:49+02:00 A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes Watts, J. D. Kimball, J. S. Parmentier, Frans-Jan Sachs, T. Rinne, J. Zona, D. Oechel, W. Tagesson, T. Jackowicz-Korczynski, Marcin Aurela, M. 2014 https://lup.lub.lu.se/record/4496091 https://doi.org/10.5194/bg-11-1961-2014 eng eng Copernicus GmbH https://lup.lub.lu.se/record/4496091 http://dx.doi.org/10.5194/bg-11-1961-2014 wos:000334609000019 scopus:84898035612 Biogeosciences; 11(7), pp 1961-1980 (2014) ISSN: 1726-4189 Physical Geography contributiontojournal/article info:eu-repo/semantics/article text 2014 ftulundlup https://doi.org/10.5194/bg-11-1961-2014 2023-02-01T23:29:44Z The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (R-eco) of carbon dioxide (CO2) and methane (CH4) emissions, but an effective framework to monitor the regional Arctic NECB is lacking. We modified a terrestrial carbon flux (TCF) model developed for satellite remote sensing applications to evaluate wetland CO2 and CH4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO2 and CH4 emissions using in situ or remote sensing and reanalysis-based climate data as inputs. The TCF model simulations using in situ data explained >70% of the r(2) variability in the 8 day cumulative EC measured fluxes. Model simulations using coarser satellite (MODIS) and reanalysis (MERRA) Records accounted for approximately 69% and 75% of the respective r(2) variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of <= 1.3 gCm(-2) d(-1) (CO2) and 18.2 mg Cm-2 d(-1) (CH4). Although the estimated annual CH4 emissions were small (<18 gCm(-2) yr(-1)) relative to R-eco (>180 gCm(-2) yr(-1)), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 +/- 128 gCO(2)eqm(-2) yr(-1) when considered over a 100 year time span. This model evaluation indi-cates a strong potential for using the TCF model approach to document landscape-scale variability in CO2 and CH4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems. Article in Journal/Newspaper Arctic Global warming Tundra Lund University Publications (LUP) Arctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Biogeosciences 11 7 1961 1980
institution Open Polar
collection Lund University Publications (LUP)
op_collection_id ftulundlup
language English
topic Physical Geography
spellingShingle Physical Geography
Watts, J. D.
Kimball, J. S.
Parmentier, Frans-Jan
Sachs, T.
Rinne, J.
Zona, D.
Oechel, W.
Tagesson, T.
Jackowicz-Korczynski, Marcin
Aurela, M.
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
topic_facet Physical Geography
description The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (R-eco) of carbon dioxide (CO2) and methane (CH4) emissions, but an effective framework to monitor the regional Arctic NECB is lacking. We modified a terrestrial carbon flux (TCF) model developed for satellite remote sensing applications to evaluate wetland CO2 and CH4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO2 and CH4 emissions using in situ or remote sensing and reanalysis-based climate data as inputs. The TCF model simulations using in situ data explained >70% of the r(2) variability in the 8 day cumulative EC measured fluxes. Model simulations using coarser satellite (MODIS) and reanalysis (MERRA) Records accounted for approximately 69% and 75% of the respective r(2) variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of <= 1.3 gCm(-2) d(-1) (CO2) and 18.2 mg Cm-2 d(-1) (CH4). Although the estimated annual CH4 emissions were small (<18 gCm(-2) yr(-1)) relative to R-eco (>180 gCm(-2) yr(-1)), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 +/- 128 gCO(2)eqm(-2) yr(-1) when considered over a 100 year time span. This model evaluation indi-cates a strong potential for using the TCF model approach to document landscape-scale variability in CO2 and CH4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems.
format Article in Journal/Newspaper
author Watts, J. D.
Kimball, J. S.
Parmentier, Frans-Jan
Sachs, T.
Rinne, J.
Zona, D.
Oechel, W.
Tagesson, T.
Jackowicz-Korczynski, Marcin
Aurela, M.
author_facet Watts, J. D.
Kimball, J. S.
Parmentier, Frans-Jan
Sachs, T.
Rinne, J.
Zona, D.
Oechel, W.
Tagesson, T.
Jackowicz-Korczynski, Marcin
Aurela, M.
author_sort Watts, J. D.
title A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
title_short A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
title_full A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
title_fullStr A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
title_full_unstemmed A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
title_sort satellite data driven biophysical modeling approach for estimating northern peatland and tundra co2 and ch4 fluxes
publisher Copernicus GmbH
publishDate 2014
url https://lup.lub.lu.se/record/4496091
https://doi.org/10.5194/bg-11-1961-2014
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Arctic
Merra
geographic_facet Arctic
Merra
genre Arctic
Global warming
Tundra
genre_facet Arctic
Global warming
Tundra
op_source Biogeosciences; 11(7), pp 1961-1980 (2014)
ISSN: 1726-4189
op_relation https://lup.lub.lu.se/record/4496091
http://dx.doi.org/10.5194/bg-11-1961-2014
wos:000334609000019
scopus:84898035612
op_doi https://doi.org/10.5194/bg-11-1961-2014
container_title Biogeosciences
container_volume 11
container_issue 7
container_start_page 1961
op_container_end_page 1980
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