Journal article 83 views 6 downloads
Spatio‐Temporal Variations in Carbon Isotope Discrimination Predicted by the JULES Land Surface Model
Journal of Geophysical Research: Biogeosciences, Volume: 127, Issue: 12
Swansea University Authors: LEWIS PALMER, Iain Robertson , Neil Loader , Giles Young, Darren Davies, Sietse Los, Jamie Williams
PDF | Version of Record
© 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.Download (2.13MB)
DOI (Published version): 10.1029/2022jg007041
Stable carbon isotopes in plants can help evaluate and improve the representation of carbon and water cycles in land-surface models, increasing confidence in projections of vegetation response to climate change. Here, we evaluated the predictive skills of the Joint UK Land Environmental Simulator (J...
|Published in:||Journal of Geophysical Research: Biogeosciences|
American Geophysical Union (AGU)
Check full text
No Tags, Be the first to tag this record!
Stable carbon isotopes in plants can help evaluate and improve the representation of carbon and water cycles in land-surface models, increasing confidence in projections of vegetation response to climate change. Here, we evaluated the predictive skills of the Joint UK Land Environmental Simulator (JULES) to capture spatio-temporal variations in carbon isotope discrimination (Δ13C) reconstructed by tree rings at twelve sites in the United Kingdom over the period 1979-2016. Modelled and measured Δ13C time series were compared at each site and their relationships with local climate investigated. Modelled Δ13C time series were significantly correlated (p < 0.05) with tree-ring Δ13C at eight sites, but JULES underestimated mean Δ13C values at all sites, by up to 2.6‰. Differences in mean Δ13C may result from post-photosynthetic isotopic fractionations that were not considered in JULES. Inter-annual variability in Δ13C was also underestimated by JULES at all sites. While modelled Δ13C typically increased over time across the UK, tree-ring Δ13C values increased only at five sites located in the northern regions but decreased at the southern-most sites. Considering all sites together, JULES captured the overall influence of environmental drivers on Δ13C but failed to capture the direction of change in Δ13C caused by air temperature, atmospheric CO2 and vapour pressure deficit at some sites. Results indicate that the representation of carbon-water coupling in JULES could be improved to reproduce both the trend and magnitude of interannual variability in isotopic records, the influence of local climate on Δ13C, and to reduce uncertainties in predicting vegetation-environment interactions.
carbon isotope discrimination; tree-ring; JULES; land-surface model; UK
Faculty of Science and Engineering
L.P. was supported by Swansea University’s SPIN placement grant. A.L was funded by a Marie Sklodowska-Curie Individual Fellowship under the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement no: 838739 ECAW-ISO). K.R.-G. ackowledges funding from European Research Council (755865) and Academy of Finland (295319). The BIFoR FACE facility is a research infrastructure project supported by the JABBS foundation and the University of Birmingham. The facility has received support for scientific studies from the U.K. Natural Environment Research Council, the JABBS foundation, and The John Horseman Trust. NJL thanks Rob Wilson and Gareth James for field and laboratory support, the UK NERC (NE/P011527/1) and Leverhulme Trust (RPG-327-2014). Jamie Williams was supported by a NERC grant (NE/G523763/1).