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Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra

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Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra. / López-Blanco, Efrén; Lund, Magnus; Christensen, Torben R.; Tamstorf, Mikkel P.; Smallman, Thomas L.; Slevin, Darren; Westergaard-Nielsen, Andreas; Hansen, Birger U.; Abermann, Jakob; Williams, Mathew.

I: Journal of Geophysical Research: Biogeosciences, Bind 123, Nr. 9, 01.01.2018, s. 2675-2694.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

López-Blanco, E, Lund, M, Christensen, TR, Tamstorf, MP, Smallman, TL, Slevin, D, Westergaard-Nielsen, A, Hansen, BU, Abermann, J & Williams, M 2018, 'Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra', Journal of Geophysical Research: Biogeosciences, bind 123, nr. 9, s. 2675-2694. https://doi.org/10.1029/2018JG004386

APA

López-Blanco, E., Lund, M., Christensen, T. R., Tamstorf, M. P., Smallman, T. L., Slevin, D., Westergaard-Nielsen, A., Hansen, B. U., Abermann, J., & Williams, M. (2018). Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra. Journal of Geophysical Research: Biogeosciences, 123(9), 2675-2694. https://doi.org/10.1029/2018JG004386

CBE

López-Blanco E, Lund M, Christensen TR, Tamstorf MP, Smallman TL, Slevin D, Westergaard-Nielsen A, Hansen BU, Abermann J, Williams M. 2018. Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra. Journal of Geophysical Research: Biogeosciences. 123(9):2675-2694. https://doi.org/10.1029/2018JG004386

MLA

Vancouver

Author

López-Blanco, Efrén ; Lund, Magnus ; Christensen, Torben R. ; Tamstorf, Mikkel P. ; Smallman, Thomas L. ; Slevin, Darren ; Westergaard-Nielsen, Andreas ; Hansen, Birger U. ; Abermann, Jakob ; Williams, Mathew. / Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra. I: Journal of Geophysical Research: Biogeosciences. 2018 ; Bind 123, Nr. 9. s. 2675-2694.

Bibtex

@article{4a73979717524090aaa264246b866dc0,
title = "Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra",
abstract = "The climate sensitivity of carbon (C) cycling in Arctic terrestrial ecosystems is a major unknown in the Earth system. There is a lack of knowledge about the mechanisms that drive the interactions between photosynthesis, respiration, and changes in C stocks across full annual cycles in Arctic tundra. We use a calibrated and validated model (soil-plant-atmosphere; SPA) to estimate net ecosystem exchange (NEE), gross primary production (GPP), ecosystem respiration (Reco), and internal C processing across eight full years. SPA's carbon flux estimates are validated with observational data obtained from the Greenland Ecosystem Monitoring program in West Greenland tundra. Overall, the model explained 73%, 73%, and 50% of the variance in NEE, GPP, and Reco, respectively, and 85% of the plant greenness variation. Flux data highlighted the insensitivity of growing season NEE to interannual meteorological variability, due to compensatory responses of photosynthesis and ecosystem respiration. In this modelling study, we show that this NEE buffering is the case also for full annual cycles. We show through a sensitivity analysis that plant traits related to nitrogen are likely key determinants in the compensatory response, through simulated links to photosynthesis and plant respiration. Interestingly, we found a similar temperature sensitivity of the trait-flux couplings for GPP and Reco, suggesting that plant traits drive the stabilization of NEE. Further, model analysis indicated that wintertime periods decreased the C sink by 60%, mostly driven by litter heterotrophic respiration. This result emphasizes the importance of wintertime periods and allows a more comprehensive understanding of full annual C dynamics.",
keywords = "Arctic tundra, ecosystem exchange, ecosystem respiration, gross primary production, plant traits, process-based modeling",
author = "Efr{\'e}n L{\'o}pez-Blanco and Magnus Lund and Christensen, {Torben R.} and Tamstorf, {Mikkel P.} and Smallman, {Thomas L.} and Darren Slevin and Andreas Westergaard-Nielsen and Hansen, {Birger U.} and Jakob Abermann and Mathew Williams",
year = "2018",
month = jan,
day = "1",
doi = "10.1029/2018JG004386",
language = "English",
volume = "123",
pages = "2675--2694",
journal = "Journal of Geophysical Research",
issn = "0148-0227",
publisher = "American Geophysical Union",
number = "9",

}

RIS

TY - JOUR

T1 - Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra

AU - López-Blanco, Efrén

AU - Lund, Magnus

AU - Christensen, Torben R.

AU - Tamstorf, Mikkel P.

AU - Smallman, Thomas L.

AU - Slevin, Darren

AU - Westergaard-Nielsen, Andreas

AU - Hansen, Birger U.

AU - Abermann, Jakob

AU - Williams, Mathew

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The climate sensitivity of carbon (C) cycling in Arctic terrestrial ecosystems is a major unknown in the Earth system. There is a lack of knowledge about the mechanisms that drive the interactions between photosynthesis, respiration, and changes in C stocks across full annual cycles in Arctic tundra. We use a calibrated and validated model (soil-plant-atmosphere; SPA) to estimate net ecosystem exchange (NEE), gross primary production (GPP), ecosystem respiration (Reco), and internal C processing across eight full years. SPA's carbon flux estimates are validated with observational data obtained from the Greenland Ecosystem Monitoring program in West Greenland tundra. Overall, the model explained 73%, 73%, and 50% of the variance in NEE, GPP, and Reco, respectively, and 85% of the plant greenness variation. Flux data highlighted the insensitivity of growing season NEE to interannual meteorological variability, due to compensatory responses of photosynthesis and ecosystem respiration. In this modelling study, we show that this NEE buffering is the case also for full annual cycles. We show through a sensitivity analysis that plant traits related to nitrogen are likely key determinants in the compensatory response, through simulated links to photosynthesis and plant respiration. Interestingly, we found a similar temperature sensitivity of the trait-flux couplings for GPP and Reco, suggesting that plant traits drive the stabilization of NEE. Further, model analysis indicated that wintertime periods decreased the C sink by 60%, mostly driven by litter heterotrophic respiration. This result emphasizes the importance of wintertime periods and allows a more comprehensive understanding of full annual C dynamics.

AB - The climate sensitivity of carbon (C) cycling in Arctic terrestrial ecosystems is a major unknown in the Earth system. There is a lack of knowledge about the mechanisms that drive the interactions between photosynthesis, respiration, and changes in C stocks across full annual cycles in Arctic tundra. We use a calibrated and validated model (soil-plant-atmosphere; SPA) to estimate net ecosystem exchange (NEE), gross primary production (GPP), ecosystem respiration (Reco), and internal C processing across eight full years. SPA's carbon flux estimates are validated with observational data obtained from the Greenland Ecosystem Monitoring program in West Greenland tundra. Overall, the model explained 73%, 73%, and 50% of the variance in NEE, GPP, and Reco, respectively, and 85% of the plant greenness variation. Flux data highlighted the insensitivity of growing season NEE to interannual meteorological variability, due to compensatory responses of photosynthesis and ecosystem respiration. In this modelling study, we show that this NEE buffering is the case also for full annual cycles. We show through a sensitivity analysis that plant traits related to nitrogen are likely key determinants in the compensatory response, through simulated links to photosynthesis and plant respiration. Interestingly, we found a similar temperature sensitivity of the trait-flux couplings for GPP and Reco, suggesting that plant traits drive the stabilization of NEE. Further, model analysis indicated that wintertime periods decreased the C sink by 60%, mostly driven by litter heterotrophic respiration. This result emphasizes the importance of wintertime periods and allows a more comprehensive understanding of full annual C dynamics.

KW - Arctic tundra

KW - ecosystem exchange

KW - ecosystem respiration

KW - gross primary production

KW - plant traits

KW - process-based modeling

UR - http://www.scopus.com/inward/record.url?scp=85052945068&partnerID=8YFLogxK

U2 - 10.1029/2018JG004386

DO - 10.1029/2018JG004386

M3 - Journal article

AN - SCOPUS:85052945068

VL - 123

SP - 2675

EP - 2694

JO - Journal of Geophysical Research

JF - Journal of Geophysical Research

SN - 0148-0227

IS - 9

ER -