A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 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 (CO 2 ) and methane (CH 4 ) emissions, but an effective framework to monitor the regional Arctic NECB...
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ftdoajarticles:oai:doaj.org/article:f83eeb4fc3c0499bbf7c05723b164b56 2023-05-15T15:00:56+02:00 A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes J. D. Watts J. S. Kimball F. J. W. Parmentier T. Sachs J. Rinne D. Zona W. Oechel T. Tagesson M. Jackowicz-Korczyński M. Aurela 2014-04-01T00:00:00Z https://doi.org/10.5194/bg-11-1961-2014 https://doaj.org/article/f83eeb4fc3c0499bbf7c05723b164b56 EN eng Copernicus Publications http://www.biogeosciences.net/11/1961/2014/bg-11-1961-2014.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-11-1961-2014 https://doaj.org/article/f83eeb4fc3c0499bbf7c05723b164b56 Biogeosciences, Vol 11, Iss 7, Pp 1961-1980 (2014) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2014 ftdoajarticles https://doi.org/10.5194/bg-11-1961-2014 2022-12-31T00:31:49Z 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 (CO 2 ) and methane (CH 4 ) 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 CO 2 and CH 4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO 2 and CH 4 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 CO 2 and CH 4 records, with corresponding RMSE uncertainties of ≤ 1.3 g C m −2 d −1 (CO 2 ) and 18.2 mg C m −2 d −1 (CH 4 ). Although the estimated annual CH 4 emissions were small (< 18 g C m −2 yr −1 ) relative to R eco (> 180 g C m −2 yr −1 ), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 ± 128 g CO 2 eq m −2 yr −1 when considered over a 100 year time span. This model evaluation indicates a strong potential for using the TCF model approach to document landscape-scale variability in CO 2 and CH 4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems. Article in Journal/Newspaper Arctic Global warming Tundra Directory of Open Access Journals: DOAJ Articles Arctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Biogeosciences 11 7 1961 1980 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
spellingShingle |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 J. D. Watts J. S. Kimball F. J. W. Parmentier T. Sachs J. Rinne D. Zona W. Oechel T. Tagesson M. Jackowicz-Korczyński M. Aurela A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes |
topic_facet |
Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
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 (CO 2 ) and methane (CH 4 ) 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 CO 2 and CH 4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO 2 and CH 4 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 CO 2 and CH 4 records, with corresponding RMSE uncertainties of ≤ 1.3 g C m −2 d −1 (CO 2 ) and 18.2 mg C m −2 d −1 (CH 4 ). Although the estimated annual CH 4 emissions were small (< 18 g C m −2 yr −1 ) relative to R eco (> 180 g C m −2 yr −1 ), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 ± 128 g CO 2 eq m −2 yr −1 when considered over a 100 year time span. This model evaluation indicates a strong potential for using the TCF model approach to document landscape-scale variability in CO 2 and CH 4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems. |
format |
Article in Journal/Newspaper |
author |
J. D. Watts J. S. Kimball F. J. W. Parmentier T. Sachs J. Rinne D. Zona W. Oechel T. Tagesson M. Jackowicz-Korczyński M. Aurela |
author_facet |
J. D. Watts J. S. Kimball F. J. W. Parmentier T. Sachs J. Rinne D. Zona W. Oechel T. Tagesson M. Jackowicz-Korczyński M. Aurela |
author_sort |
J. D. Watts |
title |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes |
title_short |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes |
title_full |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes |
title_fullStr |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes |
title_full_unstemmed |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO 2 and CH 4 fluxes |
title_sort |
satellite data driven biophysical modeling approach for estimating northern peatland and tundra co 2 and ch 4 fluxes |
publisher |
Copernicus Publications |
publishDate |
2014 |
url |
https://doi.org/10.5194/bg-11-1961-2014 https://doaj.org/article/f83eeb4fc3c0499bbf7c05723b164b56 |
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, Vol 11, Iss 7, Pp 1961-1980 (2014) |
op_relation |
http://www.biogeosciences.net/11/1961/2014/bg-11-1961-2014.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 1726-4170 1726-4189 doi:10.5194/bg-11-1961-2014 https://doaj.org/article/f83eeb4fc3c0499bbf7c05723b164b56 |
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 |
_version_ |
1766332987317682176 |