气候变化领域集成服务门户(CCPortal): Evolution of light use efficiency models: Improvement, uncertainties, and implications

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DOI	10.1016/j.agrformet.2022.108905
	Evolution of light use efficiency models: Improvement, uncertainties, and implications
	Pei, Yanyan; Dong, Jinwei; Zhang, Yao; Yuan, Wenping; Doughty, Russell; Yang, Jilin; Zhou, Decheng; Zhang, Liangxia; Xiao, Xiangming
发表日期	2022
ISSN	0168-1923
EISSN	1873-2240
卷号	317
英文摘要	Light use efficiency (LUE) models have been widely used to estimate terrestrial gross primary production (GPP) at local, regional, and global scales, which is vital for understanding the carbon flux dynamics under climate change. LUE models express GPP as the product of the incoming photosynthetically active radiation (PAR), the fraction of PAR absorbed by plants (FPAR), the maximum LUE, and the environmental stress factors (e.g., temperature, water, and carbon dioxide). Here, we investigate 21 LUE models reported in literatures and conclude their complicated evolutions in the aforementioned four components: 1) the representation of PAR was improved from total PAR to direct and diffuse PARs; 2) the representation of FPAR was improved from one-leaf to two-leaf (i.e., sunlit and shaded leaves) or chlorophyll based strategies; 3) the parameterization of the maximum LUE was improved from a constant value of 0.39 gC/MJ to the C3/C4-and sunlit/shaded leaf-specific values; and 4) the representation of environmental stress factors was improved both in their integration forms (e. g., from the multiplication method to the law of the minimum method) and the proxy optimization for a specific stress factor. For example, the proxy for water stress factor has evolved from atmospheric (e.g., vapor pressure deficit) and soil (e.g., soil moisture) water indicators to the plant (e.g., land surface water index) water indicators. We also identify uncertainties caused by model structures, parameterizations, input data with various resolutions and accuracies, and scale mismatch issues between remote sensing data and flux tower observations. The newly emerged indicators such as the photochemical reflectance index, solar-induced chlorophyll fluorescence, and near-infrared reflectance of vegetation simplify the methods to estimate GPP but fail to disentangle the influences of different environmental factors. These findings on the evolution of LUE models and their uncertainties are expected to contribute to future model improvements.
英文关键词	Gross primary production (GPP); Light use efficiency (LUE); Photochemical reflectance index (PRI); Solar-induced fluorescence (SIF); Complexity; Simplicity
语种	英语
WOS研究方向	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000795644900001
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281117
作者单位	Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Peking University; Sun Yat Sen University; University of Oklahoma System; University of Oklahoma - Norman; University of Oklahoma System; University of Oklahoma - Norman; Nanjing University of Information Science & Technology
推荐引用方式 GB/T 7714	Pei, Yanyan,Dong, Jinwei,Zhang, Yao,et al. Evolution of light use efficiency models: Improvement, uncertainties, and implications[J],2022,317.
APA	Pei, Yanyan.,Dong, Jinwei.,Zhang, Yao.,Yuan, Wenping.,Doughty, Russell.,...&Xiao, Xiangming.(2022).Evolution of light use efficiency models: Improvement, uncertainties, and implications.AGRICULTURAL AND FOREST METEOROLOGY,317.
MLA	Pei, Yanyan,et al."Evolution of light use efficiency models: Improvement, uncertainties, and implications".AGRICULTURAL AND FOREST METEOROLOGY 317(2022).