Leveraging leaf-level optimality processes with explicit  acclimation improves global GPP representation in  an individual-based DGVM (LPJ-GUESS v4.1.1)

Forrest, Matthew; Dantas de Paula, Mateus; Gomes de Almeida, Filipe; Harrison, Sandy P.; Prentice, I. Colin; Hickler, Thomas

doi:10.5194/gmd-19-10365-2026

Articles | Volume 19, issue 21

https://doi.org/10.5194/gmd-19-10365-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-10365-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 21

Model description paper

|

03 Nov 2026

Model description paper |

| 03 Nov 2026

Leveraging leaf-level optimality processes with explicit acclimation improves global GPP representation in an individual-based DGVM (LPJ-GUESS v4.1.1)

Matthew Forrest, Mateus Dantas de Paula, Filipe Gomes de Almeida, Sandy P. Harrison, I. Colin Prentice, and Thomas Hickler

Supplement

https://doi.org/10.5194/gmd-19-10365-2026-supplement

Data sets

Data and scripts for LPJ-GUESS-EEO model description paper. (final publication) Matthew Forrest https://doi.org/10.5281/zenodo.23538243

LPJ-GUESS-CNP driver files Mateus Dantas de Paula https://doi.org/10.5281/zenodo.13472421

CRU-JRA v2.4 (1901-2022) climate data bias corrected with ICOS/FLUXNET sites data Filipe Gomes de Almeida https://doi.org/10.5281/zenodo.20588381

Model code and software

Data and scripts for LPJ-GUESS-EEO model description paper. (final publication) Matthew Forrest https://doi.org/10.5281/zenodo.23538243

Short summary

Global photosynthesis on land is a large flow of carbon in the Earth system which underpins food production and ecosystems. It is particularly important to know how it responds to climate change, but current vegetation models do not agree on this. We implemented a new photosynthesis model based on recent theoretical advances into a vegetation model. We found that it improved the representation of photosynthesis when compared both to global data from satellites and detailed site measurements.