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
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
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
Viewed
Total article views: 3,052 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,254
690
108
3,052
116
149
HTML: 2,254
PDF: 690
XML: 108
Total: 3,052
BibTeX: 116
EndNote: 149
Views and downloads (calculated since 28 Aug 2023)
Cumulative views and downloads
(calculated since 28 Aug 2023)
Total article views: 2,252 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,766
404
82
2,252
92
126
HTML: 1,766
PDF: 404
XML: 82
Total: 2,252
BibTeX: 92
EndNote: 126
Views and downloads (calculated since 30 Jan 2024)
Cumulative views and downloads
(calculated since 30 Jan 2024)
Total article views: 800 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
488
286
26
800
24
23
HTML: 488
PDF: 286
XML: 26
Total: 800
BibTeX: 24
EndNote: 23
Views and downloads (calculated since 28 Aug 2023)
Cumulative views and downloads
(calculated since 28 Aug 2023)
Viewed (geographical distribution)
Total article views: 3,052 (including HTML, PDF, and XML)
Thereof 3,052 with geography defined
and 0 with unknown origin.
Total article views: 2,252 (including HTML, PDF, and XML)
Thereof 2,246 with geography defined
and 6 with unknown origin.
Total article views: 800 (including HTML, PDF, and XML)
Thereof 800 with geography defined
and 0 with unknown origin.
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...
