Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties
- PMID: 33913236
- DOI: 10.1111/gcb.15659
Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties
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 km2 ) 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.
Keywords: Arctic; CO2 balance; empirical; greenhouse gas; land; permafrost; remote sensing.
© 2021 John Wiley & Sons Ltd.
References
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Grants and funding
- Humboldt Fellowship for Experienced Researchers
- H2020-BG-09-2016/European Commission
- 727890/European Commission
- Helsingin Yliopisto
- Jenny ja Antti Wihurin Rahasto
- Väisälä fund
- Natural Sciences and Engineering Research Council of Canada
- Alfred Kordelinin Säätiö
- JPMXD1420318865/Arctic Challenge for Sustainability
- Suomen Kulttuurirahasto
- Netherlands Earth System Science Centre
- KOPRI-PN21011/Korean government
- NRF-2021M1A5A1065679/Korean government
- NRF-2021M1A5A1065425/Korean government
- NRF-2018R1D1A1B07047778/Korean government
- 8414/Gordon and Betty Moore Foundation
- 2018-485-Steg 2 2017/Skogssällskapet
- Office of Biological and Environmental Research
- Natural Sciences and Engineering Research Council
- 2016-01289/Svenska Forskningsrådet Formas
- 942-2015-49/Svenska Forskningsrådet Formas
- 2017-05268/Vetenskapsrådet
- 274711/Norges Forskningsråd
- CENPERM DNRF100/Danmarks Grundforskningsfond
- Nordic Center of Excellence
- Arctic Data Center
- 282700/EU FP7-ENV
- Natural Sciences and Engineering Research Council Discovery Grants
- 286950/Suomen Akatemia
- 312912/Suomen Akatemia
- 314630/Suomen Akatemia
- 317054/Suomen Akatemia
- 325680/Suomen Akatemia
- 332196/Suomen Akatemia
- 337549/Suomen Akatemia
- 33761/Suomen Akatemia
- 33761/JA acknowledges the funding by Academy of Finland
- 337552/JA acknowledges the funding by Academy of Finland
- 80.35/Greenland Research Council
- Canada Research Chairs
- US Geological Survey
- Nordenskiöld-samfundet
- Swedish National Space Board
- 1331083/NSF Research, Synthesis, and Knowledge Transfer in a Changing Arctic: Science Support for the Study of Environmental Arctic Change
- 1931333/NSF PLR Arctic System Science Research Networking Activities (Permafrost Carbon Network: Synthesizing Flux Observations for Benchmarking Model Projections of Permafrost Carbon Exchange)
- 1203583/NSF grant
- 1204263/NSF grant
- 1702797/NSF grant
- 1702798/NSF grant
- DEB-1636476/NSF grant
- PLR1504381/NSF grant
- PLR1836898/NSF grant
- AON 856864/NSF grant
- 1304271/NSF grant
- 0632264/NSF grant
- 1107892/NSF grant
- 036993/EU 6th Framework Programme
- DNRF100/Danish National Research Foundation
- Research Council of Norway
- Swedish Research Council
- contract #2018-03966/MBN by Swedish Research Council
- the national research infrastructures SITES and ICOS, funded by VR and partner institutes
- NNH17ZDA001N/NASA/NASA/United States
- NNX15AT81A/NASA/NASA/United States
- NNX17AE13G/NASA/NASA/United States
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