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Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties

Authors :
Torsten Sachs
S. Potter
Matthias Peichl
Anna-Maria Virkkala
Aleksi Lehtonen
Hiroki Iwata
Steven F. Oberbauer
Claire C. Treat
Torben R. Christensen
Min Jung Kwon
Hideki Kobayashi
Carolina Voigt
Walter C. Oechel
Miska Luoto
M. Goeckede
Oliver Sonnentag
Gerardo Celis
Edward A. G. Schuur
Brendan M. Rogers
Peter M. Lafleur
David Holl
Maija E. Marushchak
Masahito Ueyama
Elyn Humphreys
Han Dolman
Torbern Tagesson
Järvi Järveoja
Bo Elberling
Mats Nilsson
Susan M. Natali
Jinshu Chi
Frans-Jan W. Parmentier
Margaret S. Torn
Eugénie S. Euskirchen
Stef Bokhorst
Marguerite Mauritz
Juha Aalto
Rafael Poyatos
Pertti J. Martikainen
Sang Jong Park
Efrén López-Blanco
Namyi Chae
Christina Biasi
Donatella Zona
John Kochendorfer
Ivan Mammarella
Craig A. Emmerton
Vincent L. St. Louis
Jennifer D. Watts
Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Department of Geosciences and Geography
Helsinki Institute of Sustainability Science (HELSUS)
BioGeoClimate Modelling Lab
Institute for Atmospheric and Earth System Research (INAR)
Micrometeorology and biogeochemical cycles
Systems Ecology
Earth Sciences
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Source :
Global Change Biology, Global Change Biology, Wiley, In press, ⟨10.1111/gcb.15659⟩, Virkkala, A-M, Aalto, J, Rogers, B M, Tagesson, T, Treat, C C, Natali, S M, Watts, J D, Potter, S, Lehtonen, A, Mauritz, M, Schuur, E A G, Kochendorfer, J, Zona, D, Oechel, W, Kobayashi, H, Humphreys, E, Goeckede, M, Iwata, H, Lafleur, P M, Euskirchen, E S, Bokhorst, S, Marushchak, M, Martikainen, P J, Elberling, B, Voigt, C, Biasi, C, Sonnentag, O, Parmentier, F-J W, Ueyama, M, Celis, G, St Loius, V L, Emmerton, C A, Peichl, M, Chi, J, Järveoja, J, Nilsson, M B, Oberbauer, S F, Torn, M S, Park, S-J, Dolman, H, Mammarella, I, Chae, N, Poyatos, R, López-Blanco, E, Røjle Christensen, T, Jung Kwon, M, Sachs, T, Holl, D & Luoto, M 2021, ' Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain : regional patterns and uncertainties ', Global Change Biology, vol. 27, no. 17, pp. 4040-4059 . https://doi.org/10.1111/gcb.15659, Global Change Biology, 27(17), 4040-4059. Wiley-Blackwell Publishing, Virkkala, A M, Aalto, J, Rogers, B M, Tagesson, T, Treat, C C, Natali, S M, Watts, J D, Potter, S, Lehtonen, A, Mauritz, M, Schuur, E A G, Kochendorfer, J, Zona, D, Oechel, W, Kobayashi, H, Humphreys, E, Goeckede, M, Iwata, H, Lafleur, P M, Euskirchen, E S, Bokhorst, S, Marushchak, M, Martikainen, P J, Elberling, B, Voigt, C, Biasi, C, Sonnentag, O, Parmentier, F J W, Ueyama, M, Celis, G, St.Louis, V L, Emmerton, C A, Peichl, M, Chi, J, Järveoja, J, Nilsson, M B, Oberbauer, S F, Torn, M S, Park, S J, Dolman, H, Mammarella, I, Chae, N, Poyatos, R, López-Blanco, E, Christensen, T R, Kwon, M J, Sachs, T, Holl, D & Luoto, M 2021, ' Statistical upscaling of ecosystem CO 2 fluxes across the terrestrial tundra and boreal domain : Regional patterns and uncertainties ', Global Change Biology, vol. 27, no. 17, pp. 4040-4059 . https://doi.org/10.1111/gcb.15659, Virkkala, A-M, Aalto, J, Rogers, B M, Tagesson, T, Treat, C C, Natali, S M, Watts, J D, Potter, S, Lehtonen, A, Mauritz, M, Schuur, E A G, Kochendorfer, J, Zona, D, Oechel, W, Kobayashi, H, Humphreys, E, Goeckede, M, Iwata, H, Lafleur, P M, Euskirchen, E S, Bokhorst, S, Marushchak, M, Martikainen, P J, Elberling, B, Voigt, C, Biasi, C, Sonnentag, O, Parmentier, F-J W, Ueyama, M, Celis, G, St.Louis, V L, Emmerton, C A, Peichl, M, Chi, J, Jarveoja, J, Nilsson, M B, Oberbauer, S F, Torn, M S, Park, S-J, Dolman, H, Mammarella, I, Chae, N, Poyatos, R, Lopez-Blanco, E, Christensen, T R, Kwon, M J, Sachs, T, Holl, D & Luoto, M 2021, ' Statistical upscaling of ecosystem CO 2 fluxes across the terrestrial tundra and boreal domain : Regional patterns and uncertainties ', Global change biology, vol. 27, no. 17, pp. 4040-4059 . https://doi.org/10.1111/gcb.15659, Global Change Biology, 2021, 27 (17), pp.4040-4059. ⟨10.1111/gcb.15659⟩, EPIC3Global Change Biology, 27(17), pp. 4040-4059, ISSN: 1354-1013
Publication Year :
2021

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.

Details

Language :
English
ISSN :
13541013 and 13652486
Database :
OpenAIRE
Journal :
Global Change Biology, Global Change Biology, Wiley, In press, ⟨10.1111/gcb.15659⟩, Virkkala, A-M, Aalto, J, Rogers, B M, Tagesson, T, Treat, C C, Natali, S M, Watts, J D, Potter, S, Lehtonen, A, Mauritz, M, Schuur, E A G, Kochendorfer, J, Zona, D, Oechel, W, Kobayashi, H, Humphreys, E, Goeckede, M, Iwata, H, Lafleur, P M, Euskirchen, E S, Bokhorst, S, Marushchak, M, Martikainen, P J, Elberling, B, Voigt, C, Biasi, C, Sonnentag, O, Parmentier, F-J W, Ueyama, M, Celis, G, St Loius, V L, Emmerton, C A, Peichl, M, Chi, J, Järveoja, J, Nilsson, M B, Oberbauer, S F, Torn, M S, Park, S-J, Dolman, H, Mammarella, I, Chae, N, Poyatos, R, López-Blanco, E, Røjle Christensen, T, Jung Kwon, M, Sachs, T, Holl, D & Luoto, M 2021, ' Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain : regional patterns and uncertainties ', Global Change Biology, vol. 27, no. 17, pp. 4040-4059 . https://doi.org/10.1111/gcb.15659, Global Change Biology, 27(17), 4040-4059. Wiley-Blackwell Publishing, Virkkala, A M, Aalto, J, Rogers, B M, Tagesson, T, Treat, C C, Natali, S M, Watts, J D, Potter, S, Lehtonen, A, Mauritz, M, Schuur, E A G, Kochendorfer, J, Zona, D, Oechel, W, Kobayashi, H, Humphreys, E, Goeckede, M, Iwata, H, Lafleur, P M, Euskirchen, E S, Bokhorst, S, Marushchak, M, Martikainen, P J, Elberling, B, Voigt, C, Biasi, C, Sonnentag, O, Parmentier, F J W, Ueyama, M, Celis, G, St.Louis, V L, Emmerton, C A, Peichl, M, Chi, J, Järveoja, J, Nilsson, M B, Oberbauer, S F, Torn, M S, Park, S J, Dolman, H, Mammarella, I, Chae, N, Poyatos, R, López-Blanco, E, Christensen, T R, Kwon, M J, Sachs, T, Holl, D & Luoto, M 2021, ' Statistical upscaling of ecosystem CO 2 fluxes across the terrestrial tundra and boreal domain : Regional patterns and uncertainties ', Global Change Biology, vol. 27, no. 17, pp. 4040-4059 . https://doi.org/10.1111/gcb.15659, Virkkala, A-M, Aalto, J, Rogers, B M, Tagesson, T, Treat, C C, Natali, S M, Watts, J D, Potter, S, Lehtonen, A, Mauritz, M, Schuur, E A G, Kochendorfer, J, Zona, D, Oechel, W, Kobayashi, H, Humphreys, E, Goeckede, M, Iwata, H, Lafleur, P M, Euskirchen, E S, Bokhorst, S, Marushchak, M, Martikainen, P J, Elberling, B, Voigt, C, Biasi, C, Sonnentag, O, Parmentier, F-J W, Ueyama, M, Celis, G, St.Louis, V L, Emmerton, C A, Peichl, M, Chi, J, Jarveoja, J, Nilsson, M B, Oberbauer, S F, Torn, M S, Park, S-J, Dolman, H, Mammarella, I, Chae, N, Poyatos, R, Lopez-Blanco, E, Christensen, T R, Kwon, M J, Sachs, T, Holl, D & Luoto, M 2021, ' Statistical upscaling of ecosystem CO 2 fluxes across the terrestrial tundra and boreal domain : Regional patterns and uncertainties ', Global change biology, vol. 27, no. 17, pp. 4040-4059 . https://doi.org/10.1111/gcb.15659, Global Change Biology, 2021, 27 (17), pp.4040-4059. ⟨10.1111/gcb.15659⟩, EPIC3Global Change Biology, 27(17), pp. 4040-4059, ISSN: 1354-1013
Accession number :
edsair.doi.dedup.....a7e3fd03f32eb5aede3976407ffc1f15