Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen

Abstract This paper presents an empirical model of net ecosystem CO 2 exchange (NEE) developed for a subarctic fen near Churchill, Manitoba. The model with observed data helps explain the interannual variability in growing season NEE. Five years of tower‐flux data are used to test and examine the se...

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Published in:Global Change Biology
Main Authors: Griffis, Timothy J., Rouse, Wayne R.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2001
Subjects:
Online Access:http://dx.doi.org/10.1046/j.1354-1013.2001.00403.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1046%2Fj.1354-1013.2001.00403.x
https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1354-1013.2001.00403.x
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spelling crwiley:10.1046/j.1354-1013.2001.00403.x 2024-06-02T08:05:22+00:00 Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen Griffis, Timothy J. Rouse, Wayne R. 2001 http://dx.doi.org/10.1046/j.1354-1013.2001.00403.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1046%2Fj.1354-1013.2001.00403.x https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1354-1013.2001.00403.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Global Change Biology volume 7, issue 5, page 511-530 ISSN 1354-1013 1365-2486 journal-article 2001 crwiley https://doi.org/10.1046/j.1354-1013.2001.00403.x 2024-05-03T10:53:13Z Abstract This paper presents an empirical model of net ecosystem CO 2 exchange (NEE) developed for a subarctic fen near Churchill, Manitoba. The model with observed data helps explain the interannual variability in growing season NEE. Five years of tower‐flux data are used to test and examine the seasonal behaviour of the model simulations. Processes controlling the observed interannual variability of CO 2 exchange at the fen are examined by exploring the sensitivity of the model to changes in air temperature, precipitation and leaf area index. Results indicate that the sensitivity of NEE to changing environmental controls is complex and varies interannually depending on the initial conditions of the wetland. Changes in air temperature and the timing of precipitation events have a strong influence on NEE, which is largely manifest in gross ecosystem photosynthesis (GEP). Climate change scenarios indicate that warmer air temperatures will increase carbon acquisition during wet years but may act to reduce wetland carbon storage in years that experience a large water deficit early in the growing season. Model simulations for this subarctic sedge fen indicate that carbon acquisition is greatest during wet and warm conditions. This suggests therefore that carbon accumulation was greatest at this subarctic fen during its early developmental stages when hydroclimatic conditions were relatively wet and warm at approximately 2500 years before present. Article in Journal/Newspaper Churchill Subarctic Wiley Online Library Global Change Biology 7 5 511 530
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract This paper presents an empirical model of net ecosystem CO 2 exchange (NEE) developed for a subarctic fen near Churchill, Manitoba. The model with observed data helps explain the interannual variability in growing season NEE. Five years of tower‐flux data are used to test and examine the seasonal behaviour of the model simulations. Processes controlling the observed interannual variability of CO 2 exchange at the fen are examined by exploring the sensitivity of the model to changes in air temperature, precipitation and leaf area index. Results indicate that the sensitivity of NEE to changing environmental controls is complex and varies interannually depending on the initial conditions of the wetland. Changes in air temperature and the timing of precipitation events have a strong influence on NEE, which is largely manifest in gross ecosystem photosynthesis (GEP). Climate change scenarios indicate that warmer air temperatures will increase carbon acquisition during wet years but may act to reduce wetland carbon storage in years that experience a large water deficit early in the growing season. Model simulations for this subarctic sedge fen indicate that carbon acquisition is greatest during wet and warm conditions. This suggests therefore that carbon accumulation was greatest at this subarctic fen during its early developmental stages when hydroclimatic conditions were relatively wet and warm at approximately 2500 years before present.
format Article in Journal/Newspaper
author Griffis, Timothy J.
Rouse, Wayne R.
spellingShingle Griffis, Timothy J.
Rouse, Wayne R.
Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen
author_facet Griffis, Timothy J.
Rouse, Wayne R.
author_sort Griffis, Timothy J.
title Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen
title_short Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen
title_full Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen
title_fullStr Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen
title_full_unstemmed Modelling the interannual variability of net ecosystem CO 2 exchange at a subarctic sedge fen
title_sort modelling the interannual variability of net ecosystem co 2 exchange at a subarctic sedge fen
publisher Wiley
publishDate 2001
url http://dx.doi.org/10.1046/j.1354-1013.2001.00403.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1046%2Fj.1354-1013.2001.00403.x
https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1354-1013.2001.00403.x
genre Churchill
Subarctic
genre_facet Churchill
Subarctic
op_source Global Change Biology
volume 7, issue 5, page 511-530
ISSN 1354-1013 1365-2486
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1046/j.1354-1013.2001.00403.x
container_title Global Change Biology
container_volume 7
container_issue 5
container_start_page 511
op_container_end_page 530
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