Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 4
Articles | Volume 16, issue 4
https://doi.org/10.5194/essd-16-1771-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1771-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 4
Data description paper
 | 
11 Apr 2024
Data description paper |  | 11 Apr 2024

Spatial mapping of key plant functional traits in terrestrial ecosystems across China

Nannan An, Nan Lu, Weiliang Chen, Yongzhe Chen, Hao Shi, Fuzhong Wu, and Bojie Fu

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Latest update: 23 Nov 2024
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Short summary
This study generated a spatially continuous plant functional trait dataset (~1 km) in China in combination with field observations, environmental variables and vegetation indices using machine learning methods. Results showed that wood density, leaf P concentration and specific leaf area showed good accuracy with an average R2 of higher than 0.45. This dataset could provide data support for development of Earth system models to predict vegetation distribution and ecosystem functions.
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