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Evaluation of the Community Land Model-Simulated Specific Leaf Area with Observations over China: Impacts on Modeled Gross Primary Productivity

文献类型：期刊论文

作者Zheng, Yuanhao1,2,3; Zhang, Li1,2,4; Li, Pan5; Ren, Xiaoli1,2; He, Honglin1,2,4; Lv, Yan1,2,3; Ma, Yuping6
刊名FORESTS
出版日期2023
卷号14期号:1页码:16
关键词specific leaf area interspecific variation gross primary productivity the CLM4 5 model
DOI10.3390/f14010164
通讯作者Zhang, Li(li.zhang@igsnrr.ac.cn)
英文摘要Specific leaf area (SLA) is a key leaf functional trait associated with the ability to acquire light. Substantial variations in SLA have not been well described in the community land model (CLM) and similar terrestrial biosphere models. How these SLA variations influence the simulation of gross primary productivity (GPP) remains unclear. Here, we evaluated the mismatch in SLA between the CLM4.5 and observed data collected from China and quantified the impacts of SLA variation calculated from both observations and the default values across seven terrestrial biosphere models on modeled GPP using CLM4.5. The results showed that CLM4.5 tended to overestimate SLA values at the top and gradient of the canopy. The higher default SLA values could cause an underestimation of the modeled GPP by 5-161 g C m(-2) yr(-1) (1%-7%) for temperate needleleaf evergreen tree (NET), temperate broadleaf deciduous tree (BDT), and C3 grass and an overestimation by 50 g C m(-2) yr(-1) (2%) for temperate broadleaf evergreen tree (BET). Moreover, the observed SLA variation among species ranged from 21% to 59% for 14 plant functional types (PFTs), which was similar to the variation in default SLA values across models (9%-60%). These SLA variations would lead to greater changes in modeled GPP by 7%-19% for temperate NET and temperate BET than temperate BDT and C3 grass (2%-9%). Our study suggested that the interspecific variation in SLA and its responses to environmental factors should be involved in terrestrial biosphere models; otherwise, it would cause substantial bias in the prediction of ecosystem productivity.
WOS关键词TRAIT-CLIMATE RELATIONSHIPS ; FUNCTIONAL TRAITS ; VEGETATION ; PHOTOSYNTHESIS ; SENSITIVITY ; PERFORMANCE ; FORESTS ; LEAVES ; CARBON
资助项目National Natural Science Foundation of China[31971512] ; National Natural Science Foundation of China[42030509] ; National Natural Science Foundation of China[42141005] ; National Natural Science Foundation of China[31988102]
WOS研究方向Forestry
语种英语
WOS记录号WOS:000917442600001
出版者MDPI
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/189459]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Li
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Natl Ecosyst Sci Data Ctr, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
5.Tianjin Univ, Sch Earth Syst Sci, Tianjin 300072, Peoples R China
6.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Zheng, Yuanhao,Zhang, Li,Li, Pan,et al. Evaluation of the Community Land Model-Simulated Specific Leaf Area with Observations over China: Impacts on Modeled Gross Primary Productivity[J]. FORESTS,2023,14(1):16.
APA Zheng, Yuanhao.,Zhang, Li.,Li, Pan.,Ren, Xiaoli.,He, Honglin.,...&Ma, Yuping.(2023).Evaluation of the Community Land Model-Simulated Specific Leaf Area with Observations over China: Impacts on Modeled Gross Primary Productivity.FORESTS,14(1),16.
MLA Zheng, Yuanhao,et al."Evaluation of the Community Land Model-Simulated Specific Leaf Area with Observations over China: Impacts on Modeled Gross Primary Productivity".FORESTS 14.1(2023):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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