Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
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.

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.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Publications Copernicus
Download
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.
Dynamic global vegetation models (DGVMs) are used to predict the response of vegetation to...
Citation