Evolution of light use efficiency models: Improvement, uncertainties, and implications
文献类型：期刊论文
| 作者 | Pei, Yanyan6; Dong, Jinwei6; Zhang, Yao1; Yuan, Wenping5; Doughty, Russell4; Yang, Jilin6; Zhou, Decheng2; Zhang, Liangxia2; Xiao, Xiangming3 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2022-04-15 |
| 卷号 | 317页码:17 |
| 关键词 | Gross primary production (GPP) Light use efficiency (LUE) Photochemical reflectance index (PRI) Solar-induced fluorescence (SIF) Complexity Simplicity |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2022.108905 |
| 通讯作者 | Dong, Jinwei(dongjw@igsnrr.ac.cn) ; Xiao, Xiangming(xiangming.xiao@ou.edu) |
| 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. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; PHOTOCHEMICAL REFLECTANCE INDEX ; INDUCED CHLOROPHYLL FLUORESCENCE ; DECIDUOUS BROADLEAF FOREST ; RADIATION-USE EFFICIENCY ; PRIMARY PRODUCTIVITY NPP ; COMPARING GLOBAL-MODELS ; NET PRIMARY PRODUCTION ; CARBON-DIOXIDE UPTAKE ; TERRESTRIAL GROSS |
| 资助项目 | Chinese Academy of Sciences (CAS)[XDA19040301] ; Chinese Academy of Sciences (CAS)[42001378] ; National Natural Science Foundation of China (NSFC)[QYZDB-SSW-DQC005] ; U.S. National Science Foundation[1946093] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000795644900001 |
| 出版者 | ELSEVIER |
| 资助机构 | Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China (NSFC) ; U.S. National Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/177207]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dong, Jinwei; Xiao, Xiangming |
| 作者单位 | 1.Peking Univ, Sino French Inst Earth Syst Sci, Coll Urban & Environm Sci, Beijing, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Peoples R China 3.Univ Oklahoma, Ctr Earth Observat & Modeling, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 4.Univ Oklahoma, Coll Atmospher & Geog Sci, GeoCarb Mission, Norman, OK 73072 USA 5.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disast, Zhuhai 510245, Guangdong, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 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]. AGRICULTURAL AND FOREST METEOROLOGY,2022,317:17. |
| 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,317,17. |
| MLA | Pei, Yanyan,et al."Evolution of light use efficiency models: Improvement, uncertainties, and implications".AGRICULTURAL AND FOREST METEOROLOGY 317(2022):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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