Articles | Volume 18, issue 1
Biogeosciences, 18, 95–112, 2021
Biogeosciences, 18, 95–112, 2021

Research article 07 Jan 2021

Research article | 07 Jan 2021

Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models

Peter Horvath et al.

Data sets

High-resolution DM-based and RS-based PFT maps Peter Horvath, Hui Tang, Rune Halvorsen, Frode Stordal, Lena Merete Tallaksen, Terje Koren Berntsen, and Anders Bryn

Model code and software

geco-nhm/DGVM_RS_DM_Norway: First release Peter Horvath

Modification and scripts for running CLM4.5BGCDV and sensitivity experiments H. Tang

Short summary
We evaluated the performance of three methods for representing vegetation cover. Remote sensing provided the best match to a reference dataset, closely followed by distribution modelling (DM), whereas the dynamic global vegetation model (DGVM) in CLM4.5BGCDV deviated strongly from the reference. Sensitivity tests show that use of threshold values for predictors identified by DM may improve DGVM performance. The results highlight the potential of using DM in the development of DGVMs.
Final-revised paper