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.
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.
the Creative Commons Attribution 4.0 License.
Evaluation of five models for constructing forest NPP–age relationships in China based on 3121 field survey samples
Peng Li
Key Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China
Academy of Carbon Neutrality, Fujian Normal University, Fuzhou, 350117, China
Key Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China
Academy of Carbon Neutrality, Fujian Normal University, Fuzhou, 350117, China
Jing M. Chen
CORRESPONDING AUTHOR
Key Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China
Department of Geography and Planning, University of Toronto, Ontario, ON M5S 3G3, Canada
Mingzhu Xu
Key Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China
Academy of Carbon Neutrality, Fujian Normal University, Fuzhou, 350117, China
Xudong Lin
Key Laboratory of Humid Subtropical Eco-Geographical Process of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China
Academy of Carbon Neutrality, Fujian Normal University, Fuzhou, 350117, China
Guirui Yu
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Nianpeng He
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Li Xu
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
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Cited
10 citations as recorded by crossref.
- How forest age impacts on net primary productivity: Insights from future multi-scenarios L. Tian et al. https://doi.org/10.1016/j.fecs.2024.100228
- Tree size-dependent effects of tree diversity on aboveground biomass during development in subtropical coniferous forests Y. Zhu et al. https://doi.org/10.1186/s13021-025-00388-z
- Changes in four-dimensional carbon sinks in forest ecosystems: evidence from Heilongjiang Province in China Z. Zhou et al. https://doi.org/10.1093/jpe/rtaf206
- Modeling aboveground net primary production (ANPP) in Tehran Province: insights from remote sensing and climate change projections M. Asgari et al. https://doi.org/10.1007/s40808-026-02758-z
- Aboveground biomass mapping of Canada with SAR and optical satellite observations aided by active learning S. Qin et al. https://doi.org/10.1016/j.isprsjprs.2025.05.022
- Integrating LUCC and forest aging to project and attribute subtropical forest NEP in Zhejiang Province under four SSP-RCP scenarios Z. Huang et al. https://doi.org/10.1016/j.agrformet.2025.110462
- Assessing the impact of stand structure on forest net primary productivity: A multiple machine learning-SHAP models and DSEM integrated approach T. Li et al. https://doi.org/10.1016/j.compag.2025.110427
- Species-specific relationships between net primary productivity and forest age for subtropical China P. Li et al. https://doi.org/10.5194/bg-22-5705-2025
- Environmental footprint of remediation in two contaminated steel plant sites: Integrating life cycle assessment with post-remediation carbon-budget scenarios C. Sang et al. https://doi.org/10.1016/j.jclepro.2026.149598
- Using urban-suburban difference of atmospheric CO2 to evaluate carbon neutrality capacity in Hangzhou, China B. Qi et al. https://doi.org/10.1016/j.jes.2024.10.027
10 citations as recorded by crossref.
- How forest age impacts on net primary productivity: Insights from future multi-scenarios L. Tian et al. https://doi.org/10.1016/j.fecs.2024.100228
- Tree size-dependent effects of tree diversity on aboveground biomass during development in subtropical coniferous forests Y. Zhu et al. https://doi.org/10.1186/s13021-025-00388-z
- Changes in four-dimensional carbon sinks in forest ecosystems: evidence from Heilongjiang Province in China Z. Zhou et al. https://doi.org/10.1093/jpe/rtaf206
- Modeling aboveground net primary production (ANPP) in Tehran Province: insights from remote sensing and climate change projections M. Asgari et al. https://doi.org/10.1007/s40808-026-02758-z
- Aboveground biomass mapping of Canada with SAR and optical satellite observations aided by active learning S. Qin et al. https://doi.org/10.1016/j.isprsjprs.2025.05.022
- Integrating LUCC and forest aging to project and attribute subtropical forest NEP in Zhejiang Province under four SSP-RCP scenarios Z. Huang et al. https://doi.org/10.1016/j.agrformet.2025.110462
- Assessing the impact of stand structure on forest net primary productivity: A multiple machine learning-SHAP models and DSEM integrated approach T. Li et al. https://doi.org/10.1016/j.compag.2025.110427
- Species-specific relationships between net primary productivity and forest age for subtropical China P. Li et al. https://doi.org/10.5194/bg-22-5705-2025
- Environmental footprint of remediation in two contaminated steel plant sites: Integrating life cycle assessment with post-remediation carbon-budget scenarios C. Sang et al. https://doi.org/10.1016/j.jclepro.2026.149598
- Using urban-suburban difference of atmospheric CO2 to evaluate carbon neutrality capacity in Hangzhou, China B. Qi et al. https://doi.org/10.1016/j.jes.2024.10.027
Saved (final revised paper)
Latest update: 27 Oct 2026
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.
The amount of carbon that forests gain from the atmosphere, called net primary productivity...
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