Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison.

Restrepo-Coupe, N, Levine, NM, Christoffersen, BO et al. (11 more authors) (2017) Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison. Global Change Biology, 23 (1). pp. 191-208. ISSN 1354-1013

Abstract

Metadata

Authors/Creators:
  • Restrepo-Coupe, N
  • Levine, NM
  • Christoffersen, BO
  • Albert, LP
  • Wu, J
  • Costa, MH
  • Galbraith, D
  • Imbuzeiro, H
  • Martins, G
  • Da Araujo, AC
  • Malhi, YS
  • Zeng, X
  • Moorcroft, P
  • Saleska, SR
Copyright, Publisher and Additional Information: © 2016 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: "Restrepo-Coupe, N., Levine, N. M., Christoffersen, B. O., Albert, L. P., Wu, J., Costa, M. H., Galbraith, D., Imbuzeiro, H., Martins, G., da Araujo, A. C., Malhi, Y. S., Zeng, X., Moorcroft, P. and Saleska, S. R. (2017), Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison. Global Change Biology, 23: 191–208. doi: 10.1111/gcb.13442", which has been published in final form at https://doi.org/10.1111/gcb.13442. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Keywords: Amazonia; carbon dynamics; dynamic global vegetation models; ecosystem–climate interactions; eddy covariance; seasonality; tropical forests phenology
Dates:
  • Published: January 2017
  • Accepted: 18 April 2016
  • Published (online): 20 July 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Oct 2016 10:35
Last Modified: 03 Apr 2019 14:36
Published Version: https://doi.org/10.1111/gcb.13442
Status: Published
Publisher: Wiley
Identification Number: https://doi.org/10.1111/gcb.13442

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