Biogeosciences
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Articles | Volume 21, issue 2
Articles | Volume 21, issue 2
https://doi.org/10.5194/bg-21-625-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-21-625-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 2
Research article
 | 
30 Jan 2024
Research article |  | 30 Jan 2024

Evaluation of five models for constructing forest NPP–age relationships in China based on 3121 field survey samples

Peng Li, Rong Shang, Jing M. Chen, Mingzhu Xu, Xudong Lin, Guirui Yu, Nianpeng He, and Li Xu

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Latest update: 13 Dec 2024
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Short summary
The amount of carbon that forests gain from the atmosphere, called net primary productivity (NPP), changes a lot with age. These forest NPP–age relationships could be modeled from field survey data, but we are not sure which model works best. Here we tested five different models using 3121 field survey samples in China, and the semi-empirical mathematical (SEM) function was determined as the optimal. The relationships built by SEM can improve China's forest carbon modeling and prediction.
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