Estimating uncertainty: A Bayesian approach to modelling photosynthesis in C3 leaves

Xiao, Y., Sloan, J. orcid.org/0000-0003-0334-3722, Hepworth, C. et al. (4 more authors) (2021) Estimating uncertainty: A Bayesian approach to modelling photosynthesis in C3 leaves. Plant, Cell & Environment, 44 (5). pp. 1436-1450. ISSN 0140-7791

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Copyright, Publisher and Additional Information: © 2021 John Wiley & Sons Ltd. This is an author-produced version of a paper subsequently published in Plant, Cell and Environment. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Bayesian statistics; leaf photosynthesis; mesophyll conductance; parameter estimation
Dates:
  • Accepted: 23 December 2020
  • Published (online): 19 January 2021
  • Published: May 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield)
Funding Information:
FunderGrant number
BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCILBB/N013719/1
ROYAL SOCIETYCHL\R1\180027
BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCILBB/J004065/1
Depositing User: Symplectic Sheffield
Date Deposited: 29 Jun 2021 13:54
Last Modified: 19 Jan 2022 01:38
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: https://doi.org/10.1111/pce.13995
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