Carbon cycle uncertainty in the Alaskan Arctic

Fisher, J. B.; Sikka, M.; Oechel, W. C.; Huntzinger, D. N.; Melton, J. R.; Koven, C. D.; Ahlström, Anders; Arain, M. A.; Baker, I.; Chen, J. M.; Ciais, P.; Davidson, C.; Dietze, M.; El-Masri, B.; Hayes, D.; Huntingford, C.; Jain, A. K.; Levy, P. E.; Lomas, M. R.; Poulter, B.; Price, D.; Sahoo, A. K.; Schaefer, K.; Tian, H.; Tomelleri, E.; Verbeeck, H.; Viovy, N.; Wania, R.; Zeng, N.; Miller, C. E.

Carbon cycle uncertainty in the Alaskan Arctic

Mark

Fisher, J. B. ; Sikka, M. ; Oechel, W. C. ; Huntzinger, D. N. ; Melton, J. R. ; Koven, C. D. ; Ahlström, Anders ^LU

; Arain, M. A. ; Baker, I. and Chen, J. M. , et al. (2014) In Biogeosciences 11(15). p.4271-4288

Abstract: Climate change is leading to a disproportionately large warming in the high northern latitudes, but the magnitude and sign of the future carbon balance of the Arctic are highly uncertain. Using 40 terrestrial biosphere models for the Alaskan Arctic from four recent model intercomparison projects - NACP (North American Carbon Program) site and regional syntheses, TRENDY (Trends in net land atmosphere carbon exchanges), and WETCHIMP (Wetland and Wetland CH4 Inter-comparison of Models Project) - we provide a baseline of terrestrial carbon cycle uncertainty, defined as the multi-model standard deviation (sigma) for each quantity that follows. Mean annual absolute uncertainty was largest for soil carbon (14.0+/-9.2 kgCm(-2)), then gross primary... (More); Climate change is leading to a disproportionately large warming in the high northern latitudes, but the magnitude and sign of the future carbon balance of the Arctic are highly uncertain. Using 40 terrestrial biosphere models for the Alaskan Arctic from four recent model intercomparison projects - NACP (North American Carbon Program) site and regional syntheses, TRENDY (Trends in net land atmosphere carbon exchanges), and WETCHIMP (Wetland and Wetland CH4 Inter-comparison of Models Project) - we provide a baseline of terrestrial carbon cycle uncertainty, defined as the multi-model standard deviation (sigma) for each quantity that follows. Mean annual absolute uncertainty was largest for soil carbon (14.0+/-9.2 kgCm(-2)), then gross primary production (GPP) (0.22+/-0.50 kgCm(-2) yr(-1)), ecosystem respiration (Re) (0.23+/-0.38 kgCm(-2) yr(-1)), net primary production (NPP) (0.14+/-0.33 kgCm(-2) yr(-1)), autotrophic respiration (Ra) (0.09+/-0.20 kgCm(-2) yr(-1)), heterotrophic respiration (Rh) (0.14+/-0.20 kgCm(-2) yr(-1)), net ecosystem exchange (NEE) (-0.01+/-0.19 kgCm(-2) yr(-1)), and CH4 flux (2.52+/-4.02 g CH4 m(-2) yr(-1)). There were no consistent spatial patterns in the larger Alaskan Arctic and boreal regional carbon stocks and fluxes, with some models showing NEE for Alaska as a strong carbon sink, others as a strong carbon source, while still others as carbon neutral. Finally, AmeriFlux data are used at two sites in the Alaskan Arctic to evaluate the regional patterns; observed seasonal NEE was captured within multi-model uncertainty. This assessment of carbon cycle uncertainties may be used as a baseline for the improvement of experimental and modeling activities, as well as a reference for future trajectories in carbon cycling with climate change in the Alaskan Arctic and larger boreal region. (Less)

Please use this url to cite or link to this publication: https://lup.lub.lu.se/record/4728881

author

Fisher, J. B. ; Sikka, M. ; Oechel, W. C. ; Huntzinger, D. N. ; Melton, J. R. ; Koven, C. D. ; Ahlström, Anders ^LU

; Arain, M. A. ; Baker, I. and Chen, J. M. , et al. (More)

Fisher, J. B. ; Sikka, M. ; Oechel, W. C. ; Huntzinger, D. N. ; Melton, J. R. ; Koven, C. D. ; Ahlström, Anders ^LU

; Arain, M. A. ; Baker, I. ; Chen, J. M. ; Ciais, P. ; Davidson, C. ; Dietze, M. ; El-Masri, B. ; Hayes, D. ; Huntingford, C. ; Jain, A. K. ; Levy, P. E. ; Lomas, M. R. ; Poulter, B. ; Price, D. ; Sahoo, A. K. ; Schaefer, K. ; Tian, H. ; Tomelleri, E. ; Verbeeck, H. ; Viovy, N. ; Wania, R. ; Zeng, N. and Miller, C. E. (Less)

organization

publishing date

2014

type

Contribution to journal

publication status

published

subject

Physical Geography

in

Biogeosciences

volume

11

issue

15

pages

4271 - 4288

publisher

Copernicus GmbH

external identifiers

wos:000341104400015
scopus:84924866374

ISSN

1726-4189

DOI

10.5194/bg-11-4271-2014

language

English

LU publication?

yes

id

5d70649e-b583-4ab5-8a68-184dd8623353 (old id 4728881)

date added to LUP

2016-04-01 10:27:19

date last changed

2022-04-20 02:22:50

@article{5d70649e-b583-4ab5-8a68-184dd8623353,
  abstract     = {{Climate change is leading to a disproportionately large warming in the high northern latitudes, but the magnitude and sign of the future carbon balance of the Arctic are highly uncertain. Using 40 terrestrial biosphere models for the Alaskan Arctic from four recent model intercomparison projects - NACP (North American Carbon Program) site and regional syntheses, TRENDY (Trends in net land atmosphere carbon exchanges), and WETCHIMP (Wetland and Wetland CH4 Inter-comparison of Models Project) - we provide a baseline of terrestrial carbon cycle uncertainty, defined as the multi-model standard deviation (sigma) for each quantity that follows. Mean annual absolute uncertainty was largest for soil carbon (14.0+/-9.2 kgCm(-2)), then gross primary production (GPP) (0.22+/-0.50 kgCm(-2) yr(-1)), ecosystem respiration (Re) (0.23+/-0.38 kgCm(-2) yr(-1)), net primary production (NPP) (0.14+/-0.33 kgCm(-2) yr(-1)), autotrophic respiration (Ra) (0.09+/-0.20 kgCm(-2) yr(-1)), heterotrophic respiration (Rh) (0.14+/-0.20 kgCm(-2) yr(-1)), net ecosystem exchange (NEE) (-0.01+/-0.19 kgCm(-2) yr(-1)), and CH4 flux (2.52+/-4.02 g CH4 m(-2) yr(-1)). There were no consistent spatial patterns in the larger Alaskan Arctic and boreal regional carbon stocks and fluxes, with some models showing NEE for Alaska as a strong carbon sink, others as a strong carbon source, while still others as carbon neutral. Finally, AmeriFlux data are used at two sites in the Alaskan Arctic to evaluate the regional patterns; observed seasonal NEE was captured within multi-model uncertainty. This assessment of carbon cycle uncertainties may be used as a baseline for the improvement of experimental and modeling activities, as well as a reference for future trajectories in carbon cycling with climate change in the Alaskan Arctic and larger boreal region.}},
  author       = {{Fisher, J. B. and Sikka, M. and Oechel, W. C. and Huntzinger, D. N. and Melton, J. R. and Koven, C. D. and Ahlström, Anders and Arain, M. A. and Baker, I. and Chen, J. M. and Ciais, P. and Davidson, C. and Dietze, M. and El-Masri, B. and Hayes, D. and Huntingford, C. and Jain, A. K. and Levy, P. E. and Lomas, M. R. and Poulter, B. and Price, D. and Sahoo, A. K. and Schaefer, K. and Tian, H. and Tomelleri, E. and Verbeeck, H. and Viovy, N. and Wania, R. and Zeng, N. and Miller, C. E.}},
  issn         = {{1726-4189}},
  language     = {{eng}},
  number       = {{15}},
  pages        = {{4271--4288}},
  publisher    = {{Copernicus GmbH}},
  series       = {{Biogeosciences}},
  title        = {{Carbon cycle uncertainty in the Alaskan Arctic}},
  url          = {{http://dx.doi.org/10.5194/bg-11-4271-2014}},
  doi          = {{10.5194/bg-11-4271-2014}},
  volume       = {{11}},
  year         = {{2014}},
}

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Carbon cycle uncertainty in the Alaskan Arctic