Evaluation of five models for constructing forest NPP-age relationships in China based on 3121 field survey samples
文献类型:期刊论文
作者 | Li, Peng3,4; Shang, Rong3,4; Chen, Jing M.2,4; Xu, Mingzhu3,4; Lin, Xudong3,4; Yu, Guirui1; He, Nianpeng1; Xu, Li1 |
刊名 | BIOGEOSCIENCES
![]() |
出版日期 | 2024-01-30 |
卷号 | 21期号:2页码:625-639 |
ISSN号 | 1726-4170 |
DOI | 10.5194/bg-21-625-2024 |
英文摘要 | Forest net primary productivity (NPP), representing the net carbon gain from the atmosphere, varies significantly with forest age. Reliable forest NPP-age relationships are essential for forest carbon cycle modeling and prediction. These relationships can be derived from forest inventory or field survey data, but it is unclear which model is the most effective in simulating forest NPP variation with age. Here, we aim to establish NPP-age relationships for China's forests based on 3121 field survey samples. Five models, including the semi-empirical mathematical (SEM) function, the second-degree polynomial (SDP) function, the logarithmic (L) function, the Michaelis-Menten (M) function, and the Gamma function, were compared against field data. Results of the comparison showed that the SEM and Gamma functions performed much better than the other three models, but due to the limited field survey samples at old ages, the Gamma function showed a sharp decrease in NPP (decreased to almost zero) at old ages when building some forest NPP-age curves, while SEM could capture the variations in forest NPP at old ages reasonably well. Considering the overall performance with currently available forest field survey samples, SEM was regarded as the optimal NPP-age model. The finalized forest NPP-age curves for five forest types in six regions of China can facilitate forest carbon cycle modeling and future projection by using the process-based Integrated Terrestrial Ecosystem Carbon (InTEC) model in China and may also be useful for other regions. |
WOS关键词 | NET PRIMARY PRODUCTIVITY ; CARBON STORAGE ; SPATIAL-DISTRIBUTION ; CLIMATE-CHANGE ; STAND AGE ; BIOMASS ; GROWTH ; DECLINE ; BOREAL ; ASPEN |
资助项目 | Fujian Forestry Science and Technology Key Project[2022FKJ03] ; National Natural Science Foundation of China[42101367] ; National Natural Science Foundation of China[42201360] ; Natural Science Foundation of Fujian Province[2021J05041] ; Open Fund Project of the Academy of Carbon Neutrality of Fujian Normal University[TZH2022-02] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology |
语种 | 英语 |
WOS记录号 | WOS:001281300100001 |
出版者 | COPERNICUS GESELLSCHAFT MBH |
资助机构 | Fujian Forestry Science and Technology Key Project ; National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province ; Open Fund Project of the Academy of Carbon Neutrality of Fujian Normal University |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/207302] ![]() |
专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
通讯作者 | Shang, Rong; Chen, Jing M. |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Toronto, Dept Geog & Planning, Toronto, ON M5S 3G3, Canada 3.Fujian Normal Univ, Acad Carbon Neutral, Fuzhou 350117, Peoples R China 4.Fujian Normal Univ, Sch Geog Sci, Minist Educ, Key Lab Humid Subtrop Ecogeog Proc, Fuzhou 350117, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Peng,Shang, Rong,Chen, Jing M.,et al. Evaluation of five models for constructing forest NPP-age relationships in China based on 3121 field survey samples[J]. BIOGEOSCIENCES,2024,21(2):625-639. |
APA | Li, Peng.,Shang, Rong.,Chen, Jing M..,Xu, Mingzhu.,Lin, Xudong.,...&Xu, Li.(2024).Evaluation of five models for constructing forest NPP-age relationships in China based on 3121 field survey samples.BIOGEOSCIENCES,21(2),625-639. |
MLA | Li, Peng,et al."Evaluation of five models for constructing forest NPP-age relationships in China based on 3121 field survey samples".BIOGEOSCIENCES 21.2(2024):625-639. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。