Articles | Volume 17, issue 17
https://doi.org/10.5194/gmd-17-6725-2024
https://doi.org/10.5194/gmd-17-6725-2024
Methods for assessment of models
 | 
12 Sep 2024
Methods for assessment of models |  | 12 Sep 2024

Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model

Thi Lan Anh Dinh, Daniel Goll, Philippe Ciais, and Ronny Lauerwald

Data sets

Global Forest Ecosystem Structure and Function Data for Carbon Balance Research S. Luyssaert et al. https://doi.org/10.3334/ORNLDAAC/949

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (https://fluxnet.org/data/fluxnet2015-dataset/) G. Pastorello https://doi.org/10.1038/s41597-020-0534-3

ICOS Ecosystem Instructions for Use the ICOS BADM (Version 20171013) D. Papale et al. https://doi.org/10.18160/6m8s-fy7m

Mapping global forest age from forest inventories, biomass and climate data (https://www.bgc-jena.mpg.de/geodb/projects/FileDetails.php) S. Besnard et al. https://doi.org/10.5194/essd-13-4881-2021

LUCAS 2018 Soil Module (https://esdac.jrc.ec.europa.eu/content/lucas-2018-topsoil-data) O. Fernandez-Ugalde et al. https://doi.org/10.2760/215013

A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system (http://forge.ipsl.jussieu.fr/orchidee/browser/branches/ORCHIDEE_2_2) G. Krinner et al. https://doi.org/10.1029/2003GB002199

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Short summary
The study assesses the performance of the dynamic global vegetation model (DGVM) ORCHIDEE in capturing the impact of land-use change on carbon stocks across Europe. Comparisons with observations reveal that the model accurately represents carbon fluxes and stocks. Despite the underestimations in certain land-use conversions, the model describes general trends in soil carbon response to land-use change, aligning with the site observations.