Implication of community-level ecophysiological parameterization to modelling ecosystem productivity: a case study across nine contrasting forest sites in eastern China
文献类型：期刊论文
| 作者 | Fang, Minzhe1,3; Cheng, Changjin3; He, Nianpeng2,4; Si, Guoxin4; Sun, Osbert Jianxin3 |
| 刊名 | JOURNAL OF FORESTRY RESEARCH
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 35期号:1页码:11 |
| ISSN号 | 1007-662X |
| 关键词 | Biome-BGC Community traits Forest Ecosystems Model parameterization |
| DOI | 10.1007/s11676-023-01650-1 |
| 通讯作者 | Sun, Osbert Jianxin(sunjianx@bjfu.edu.cn) |
| 英文摘要 | Parameterization is a critical step in modelling ecosystem dynamics. However, assigning parameter values can be a technical challenge for structurally complex natural plant communities; uncertainties in model simulations often arise from inappropriate model parameterization. Here we compared five methods for defining community-level specific leaf area (SLA) and leaf C:N across nine contrasting forest sites along the North-South Transect of Eastern China, including biomass-weighted average for the entire plant community (AP_BW) and four simplified selective sampling (biomass-weighted average over five dominant tree species [5DT_BW], basal area weighted average over five dominant tree species [5DT_AW], biomass-weighted average over all tree species [AT_BW] and basal area weighted average over all tree species [AT_AW]). We found that the default values for SLA and leaf C:N embedded in the Biome-BGC v4.2 were higher than the five computational methods produced across the nine sites, with deviations ranging from 28.0 to 73.3%. In addition, there were only slight deviations (< 10%) between the whole plant community sampling (AP_BW) predicted NPP and the four simplified selective sampling methods, and no significant difference between the predictions of AT_BW and AP_BW except the Shennongjia site. The findings in this study highlights the critical importance of computational strategies for community-level parameterization in ecosystem process modelling, and will support the choice of parameterization methods. |
| WOS关键词 | VEGETATION ; CARBON ; TRAIT ; GENERATION ; CLIMATE ; FLUXES |
| 资助项目 | National Natural Science Foundation of China[31870426] |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| 出版者 | NORTHEAST FORESTRY UNIV |
| WOS记录号 | WOS:001115386500001 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201050]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sun, Osbert Jianxin |
| 作者单位 | 1.China Acad Railway Sci Corp Ltd, Res Inst Energy Saving Environm Protect Occupat Sa, Beijing 100081, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China 4.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fang, Minzhe,Cheng, Changjin,He, Nianpeng,et al. Implication of community-level ecophysiological parameterization to modelling ecosystem productivity: a case study across nine contrasting forest sites in eastern China[J]. JOURNAL OF FORESTRY RESEARCH,2024,35(1):11. |
| APA | Fang, Minzhe,Cheng, Changjin,He, Nianpeng,Si, Guoxin,&Sun, Osbert Jianxin.(2024).Implication of community-level ecophysiological parameterization to modelling ecosystem productivity: a case study across nine contrasting forest sites in eastern China.JOURNAL OF FORESTRY RESEARCH,35(1),11. |
| MLA | Fang, Minzhe,et al."Implication of community-level ecophysiological parameterization to modelling ecosystem productivity: a case study across nine contrasting forest sites in eastern China".JOURNAL OF FORESTRY RESEARCH 35.1(2024):11. |
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。