Articles | Volume 16, issue 6
https://doi.org/10.5194/esd-16-1935-2025
https://doi.org/10.5194/esd-16-1935-2025
Research article
 | 
03 Nov 2025
Research article |  | 03 Nov 2025

Evaluating dynamic global vegetation models in China: challenges in capturing trends in leaf area and gross primary productivity

Anzhou Zhao, Ziyang Li, Lidong Zou, Jiansheng Wu, Kayla Stan, and Arturo Sanchez-Azofeifa

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Short summary
In this context, we used satellite observations of vegetation to evaluate long-term trends (2003–2019) in China simulated by dynamic global vegetation models (DGVMs). While these models capture the seasonal patterns of leaf area index (LAI) and gross primary production (GPP), they cannot accurately spatially represent the trend performance of LAI and GPP. The models tend to underestimate forests, overestimate grasslands, and struggle to represent cropland changes accurately.
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