Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties. (10th June 2021)
- Record Type:
- Journal Article
- Title:
- Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties. (10th June 2021)
- Main Title:
- Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties
- Authors:
- Virkkala, Anna‐Maria
Aalto, Juha
Rogers, Brendan M.
Tagesson, Torbern
Treat, Claire C.
Natali, Susan M.
Watts, Jennifer D.
Potter, Stefano
Lehtonen, Aleksi
Mauritz, Marguerite
Schuur, Edward A. G.
Kochendorfer, John
Zona, Donatella
Oechel, Walter
Kobayashi, Hideki
Humphreys, Elyn
Goeckede, Mathias
Iwata, Hiroki
Lafleur, Peter M.
Euskirchen, Eugenie S.
Bokhorst, Stef
Marushchak, Maija
Martikainen, Pertti J.
Elberling, Bo
Voigt, Carolina
Biasi, Christina
Sonnentag, Oliver
Parmentier, Frans‐Jan W.
Ueyama, Masahito
Celis, Gerardo
St.Louis, Vincent L.
Emmerton, Craig A.
Peichl, Matthias
Chi, Jinshu
Järveoja, Järvi
Nilsson, Mats B.
Oberbauer, Steven F.
Torn, Margaret S.
Park, Sang‐Jong
Dolman, Han
Mammarella, Ivan
Chae, Namyi
Poyatos, Rafael
López‐Blanco, Efrén
Christensen, Torben Røjle
Kwon, Min Jung
Sachs, Torsten
Holl, David
Luoto, Miska
… (more) - Abstract:
- Abstract: The regional variability in tundra and boreal carbon dioxide (CO2 ) fluxes can be high, complicating efforts to quantify sink‐source patterns across the entire region. Statistical models are increasingly used to predict (i.e., upscale) CO2 fluxes across large spatial domains, but the reliability of different modeling techniques, each with different specifications and assumptions, has not been assessed in detail. Here, we compile eddy covariance and chamber measurements of annual and growing season CO2 fluxes of gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem exchange (NEE) during 1990–2015 from 148 terrestrial high‐latitude (i.e., tundra and boreal) sites to analyze the spatial patterns and drivers of CO2 fluxes and test the accuracy and uncertainty of different statistical models. CO2 fluxes were upscaled at relatively high spatial resolution (1 km 2 ) across the high‐latitude region using five commonly used statistical models and their ensemble, that is, the median of all five models, using climatic, vegetation, and soil predictors. We found the performance of machine learning and ensemble predictions to outperform traditional regression methods. We also found the predictive performance of NEE‐focused models to be low, relative to models predicting GPP and ER. Our data compilation and ensemble predictions showed that CO2 sink strength was larger in the boreal biome (observed and predicted average annual NEE −46 and −29 g C m −2 yrAbstract: The regional variability in tundra and boreal carbon dioxide (CO2 ) fluxes can be high, complicating efforts to quantify sink‐source patterns across the entire region. Statistical models are increasingly used to predict (i.e., upscale) CO2 fluxes across large spatial domains, but the reliability of different modeling techniques, each with different specifications and assumptions, has not been assessed in detail. Here, we compile eddy covariance and chamber measurements of annual and growing season CO2 fluxes of gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem exchange (NEE) during 1990–2015 from 148 terrestrial high‐latitude (i.e., tundra and boreal) sites to analyze the spatial patterns and drivers of CO2 fluxes and test the accuracy and uncertainty of different statistical models. CO2 fluxes were upscaled at relatively high spatial resolution (1 km 2 ) across the high‐latitude region using five commonly used statistical models and their ensemble, that is, the median of all five models, using climatic, vegetation, and soil predictors. We found the performance of machine learning and ensemble predictions to outperform traditional regression methods. We also found the predictive performance of NEE‐focused models to be low, relative to models predicting GPP and ER. Our data compilation and ensemble predictions showed that CO2 sink strength was larger in the boreal biome (observed and predicted average annual NEE −46 and −29 g C m −2 yr −1, respectively) compared to tundra (average annual NEE +10 and −2 g C m −2 yr −1 ). This pattern was associated with large spatial variability, reflecting local heterogeneity in soil organic carbon stocks, climate, and vegetation productivity. The terrestrial ecosystem CO2 budget, estimated using the annual NEE ensemble prediction, suggests the high‐latitude region was on average an annual CO2 sink during 1990–2015, although uncertainty remains high. Abstract : We synthesized eddy covariance and chamber measurements of annual and growing season carbon dioxide (CO2 ) fluxes from 148 terrestrial high‐latitude (i.e., tundra and boreal) sites. We used statistical models to predict terrestrial ecosystem CO2 fluxes across the region over 1990–2015. Average annual net ecosystem CO2 sink strength was generally strong in the boreal biome but decreased with increasing latitude towards the tundra which was nearly neutral. Uncertainties remained high, but our results suggest that the high‐latitude region was on average an annual terrestrial ecosystem CO2 sink. … (more)
- Is Part Of:
- Global change biology. Volume 27:Number 17(2021)
- Journal:
- Global change biology
- Issue:
- Volume 27:Number 17(2021)
- Issue Display:
- Volume 27, Issue 17 (2021)
- Year:
- 2021
- Volume:
- 27
- Issue:
- 17
- Issue Sort Value:
- 2021-0027-0017-0000
- Page Start:
- 4040
- Page End:
- 4059
- Publication Date:
- 2021-06-10
- Subjects:
- Arctic -- CO2 balance -- empirical -- greenhouse gas -- land -- permafrost -- remote sensing
Climatic changes -- Environmental aspects -- Periodicals
Troposphere -- Environmental aspects -- Periodicals
Biodiversity conservation -- Periodicals
Eutrophication -- Periodicals
551.5 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=gcb ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/gcb.15659 ↗
- Languages:
- English
- ISSNs:
- 1354-1013
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4195.358330
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