Improved representation of plant functional types and physiology in the
Joint UK Land Environment Simulator (JULES v4.2) using plant trait
information

Harper, Anna B.; Cox, Peter M.; Friedlingstein, Pierre; Wiltshire, Andy J.; Jones, Chris D.; Sitch, Stephen; Mercado, Lina M.; Groenendijk, Margriet; Robertson, Eddy; Kattge, Jens; Bönisch, Gerhard; Atkin, Owen K.; Bahn, Michael; Cornelissen, Johannes; Niinemets, Ülo; Onipchenko, Vladimir; Peñuelas, Josep; Poorter, Lourens; Reich, Peter B.; Soudzilovskaia, Nadjeda A.; Bodegom, Peter van

doi:https://doi.org/10.5194/gmd-9-2415-2016

Articles | Volume 9, issue 7

Geosci. Model Dev., 9, 2415–2440, 2016

https://doi.org/10.5194/gmd-9-2415-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Geosci. Model Dev., 9, 2415–2440, 2016

https://doi.org/10.5194/gmd-9-2415-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 7

Development and technical paper 22 Jul 2016

Development and technical paper | 22 Jul 2016

Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

Anna B. Harper et al.

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Final revised paper (published on 22 Jul 2016)
Supplement to the final revised paper
Preprint (discussion started on 01 Feb 2016)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'a new development of JULES model', Anonymous Referee #1, 07 Mar 2016
RC2: 'Review', Anonymous Referee #2, 08 Mar 2016
AC1: 'Final Response', Anna Harper, 26 Apr 2016
AC2: 'Revised manuscript and associated figures for referee responses', Anna Harper, 26 Apr 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Anna Harper on behalf of the Authors (04 May 2016) Author's response Manuscript

ED: Publish subject to minor revisions (Editor review) (06 May 2016) by Jatin Kala

AR by Anna Harper on behalf of the Authors (13 May 2016) Author's response Manuscript

ED: Publish as is (20 May 2016) by Jatin Kala

Short summary

Dynamic global vegetation models (DGVMs) are used to predict the response of vegetation to climate change. We improved the representation of carbon uptake by ecosystems in a DGVM by including a wider range of trade-offs between nutrient allocation to photosynthetic capacity and leaf structure, based on observed plant traits from a worldwide data base. The improved model has higher rates of photosynthesis and net C uptake by plants, and more closely matches observations at site and global scales.