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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00008977naa a2201045 4500
001oai:lup.lub.lu.se:5eb7eac8-80c0-4c81-8b3d-6621ae9ad588
003SwePub
008210712s2021 | |||||||||||000 ||eng|
009oai:slubar.slu.se:112545
0247 a https://lup.lub.lu.se/record/5eb7eac8-80c0-4c81-8b3d-6621ae9ad5882 URI
0247 a https://doi.org/10.1111/gcb.156592 DOI
0247 a https://res.slu.se/id/publ/1125452 URI
040 a (SwePub)lud (SwePub)slu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Virkkala, Anna Mariau University of Helsinki4 aut
2451 0a Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain : Regional patterns and uncertainties
264 c 2021-06-10
264 1b Wiley,c 2021
520 a 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.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng
650 7a NATURVETENSKAPx Biologix Ekologi0 (SwePub)106112 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Ecology0 (SwePub)106112 hsv//eng
653 a Arctic
653 a CO balance
653 a empirical
653 a greenhouse gas
653 a land
653 a permafrost
653 a remote sensing
7001 a Aalto, Juhau University of Helsinki,Finnish Meteorological Institute4 aut
7001 a Marushchak, Maijau University of Texas at El Paso,University of Eastern Finland,University of Jyväskylä4 aut0 (Swepub:lu)ma3875ma
7001 a Tagesson, Torbernu Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science,University of Copenhagen4 aut0 (Swepub:lu)to5874ta
7001 a Treat, Claire C.u Alfred-Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven4 aut
7001 a Natali, Susan M.4 aut
7001 a Watts, Jennifer D.4 aut
7001 a Potter, Stefano4 aut
7001 a Lehtonen, Aleksiu Natural Resources Institute Finland (Luke)4 aut
7001 a Mauritz, Margueriteu University of Texas at El Paso,Trent University4 aut
7001 a Schuur, Edward A.G.u Northern Arizona University4 aut
7001 a Kochendorfer, John4 aut
7001 a Zona, Donatellau University of Sheffield,San Diego State University4 aut
7001 a Oechel, Walteru University of Exeter,San Diego State University4 aut
7001 a Kobayashi, Hidekiu Japan Agency for Marine-Earth Science and Technology4 aut
7001 a Humphreys, Elynu Carleton University4 aut
7001 a Goeckede, Mathiasu Max Planck Institute for Biogeochemistry4 aut
7001 a Iwata, Hirokiu Shinshu University4 aut
7001 a Lafleur, Peter M.u Trent University4 aut
7001 a Euskirchen, Eugenie S.u University of Alaska Fairbanks4 aut
7001 a Bokhorst, Stefu Vrije Universiteit Amsterdam4 aut
7001 a Marushchak, Maijau University of Eastern Finland,University of Jyväskylä4 aut0 (Swepub:lu)ma3875ma
7001 a Martikainen, Pertti J.u Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogens ekologi och skötsel,Department of Forest Ecology and Management,University of Eastern Finland4 aut
7001 a Elberling, Bou University of Copenhagen4 aut
7001 a Voigt, Carolinau University Of Quebec In Montreal,University of Eastern Finland4 aut
7001 a Biasi, Christinau University of Eastern Finland4 aut
7001 a Sonnentag, Oliveru University Of Quebec In Montreal4 aut0 (Swepub:lu)ol3828so
7001 a Parmentier, Frans Jan W.u Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science,University of Oslo4 aut0 (Swepub:lu)nate-fpm
7001 a Ueyama, Masahito4 aut
7001 a Celis, Gerardou Florida Museum Natural History4 aut
7001 a St.Louis, Vincent L.u University of Alberta4 aut
7001 a Emmerton, Craig A.u University of Alberta4 aut
7001 a Peichl, Matthiasu Sveriges lantbruksuniversitet,Swedish University of Agricultural Sciences,Institutionen för skogens ekologi och skötsel,Department of Forest Ecology and Management4 aut0 (Swepub:slu)48058
7001 a Chi, Jinshuu Sveriges lantbruksuniversitet,Swedish University of Agricultural Sciences,Institutionen för skogens ekologi och skötsel,Department of Forest Ecology and Management4 aut
7001 a Järveoja, Järviu Swedish University of Agricultural Sciences4 aut
7001 a Nilsson, Matsu Sveriges lantbruksuniversitet,Swedish University of Agricultural Sciences,Institutionen för skogens ekologi och skötsel,Department of Forest Ecology and Management4 aut0 (Swepub:slu)47620
7001 a Oberbauer, Steven F.u Florida International University4 aut
7001 a Torn, Margaret S.u Lawrence Berkeley National Laboratory4 aut
7001 a Park, Sang Jongu Korea Polar Research Institute4 aut
7001 a Dolman, Hanu Vrije Universiteit Amsterdam4 aut
7001 a Mammarella, Ivanu University of Helsinki4 aut
7001 a Chae, Namyiu Korea University4 aut
7001 a Poyatos, Rafaelu Autonomous University of Barcelona,Centre for Ecological Research and Forestry (CERAF)4 aut
7001 a López-Blanco, Efrénu Aarhus University,Greenland Institute of Natural Resources4 aut
7001 a Christensen, Torben Røjleu Aarhus University4 aut0 (Swepub:lu)ekol-tch
7001 a Kwon, Min Jungu Laboratoire des Sciences du Climat et de l'Environnement,Korea Polar Research Institute4 aut
7001 a Sachs, Torstenu GFZ German Research Centre for Geosciences4 aut
7001 a Holl, Davidu University of Hamburg4 aut
7001 a Luoto, Miskau University of Helsinki4 aut
7102 a University of Helsinkib Finnish Meteorological Institute4 org
7102 a Sveriges lantbruksuniversitet
7730 t Global Change Biologyd : Wileyg 27:17, s. 4040-4059q 27:17<4040-4059x 1354-1013x 1365-2486
8564 u http://dx.doi.org/10.1111/gcb.15659x freey FULLTEXT
8564 u https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/gcb.15659
8564 u https://pub.epsilon.slu.se/id/eprint/25505/contentsx primaryx Raw objectx freey FULLTEXT
8564 8u https://lup.lub.lu.se/record/5eb7eac8-80c0-4c81-8b3d-6621ae9ad588
8564 8u https://doi.org/10.1111/gcb.15659
8564 8u https://res.slu.se/id/publ/112545

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