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Relationship between Light Use Efficiency and Photochemical Reflectance Index Corrected Using a BRDF Model at a Subtropical Mixed Forest

文献类型：期刊论文

作者Ma, Li2,4; Wang, Shaoqiang2,4; Chen, Jinghua2,4; Chen, Bin2,4; Zhang, Leiming2,4; Ma, Lixia3; Amir, Muhammad2,4; Sun, Leigang1; Zhou, Guoyi5; Meng, Ze5
刊名REMOTE SENSING
出版日期2020-02-01
卷号12期号:3页码:17
关键词photochemical reflectance index light use efficiency BRDF leaf area index
DOI10.3390/rs12030550
通讯作者Wang, Shaoqiang(sqwang@igsnrr.ac.cn)
英文摘要Light use efficiency (LUE) is a key indicator of vegetation photosynthesis, which provides important insights into how vegetation productivity responds to environmental conditions. The photochemical reflectance index (PRI) is based on reflectance at 531 and 570 nm, which reflects the xanthophyll cycle process of plants under different radiation conditions, and makes LUE related to plant optical characteristics. In this study, tower-based PRI and eddy covariance (EC) based LUEs were used to explore the ability of PRI to track LUE variations in a subtropical, evergreen mixed forest in South China. The results indicate that there is a stronger relationship between PRI and LUE, corrected by the bidirectional reflectance distribution function (BRDF), where R-2 = 0.46 before correction and R-2 = 0.60 after correction. Generally, PRI is able to capture diurnal and seasonal changes in LUE. Simultaneously, this study highlights a significant correlation between LUE and PRI, but there is also a large seasonal difference in its correlation. The correlation in winter was significantly stronger than summer. The strongest correlation is found in November (R-2 = 0.91) and the weakest is in July (R-2 = 0.34). Photosynthetically active radiation (PAR) had a strong influence on the LUE-PRI relationship, while vapor pressure deficit (VPD) and air temperature (Ta) had negative influences on the relationship between LUE and PRI. Terrestrial laser scanning is used to retrieve the vertical structure of forest crown. Our results show that the vegetation canopy structure (i.e., effective leaf area index, LAI(e)), extracted from terrestrial laser scanning (TLS) point data in subtropical mixed forests, had a weak influence on LUE. Our research suggests that environmental factors and vegetation canopy structures should be considered when using PRI to accurately estimate LUE.
WOS关键词CARBON-DIOXIDE UPTAKE ; CANOPY ; PRI ; CHLOROPHYLL ; PRODUCTIVITY ; LEAF ; DINGHUSHAN ; RETRIEVAL ; RADIATION ; VAPOR
资助项目National Key Research and Development Program of China[2016YFA0600202] ; National Key Research and Development Program of China[2017YFC0503803] ; National Natural Science Foundation of China[41571192] ; National Natural Science Foundation of China[41871342]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000515393800209
出版者MDPI
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/132696]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Shaoqiang
作者单位1.Hebei Acad Sci, Engn Res Ctr Geog Informat Applicat, Inst Geog Sci, Shijiazhuang 050011, Hebei, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
5.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China
推荐引用方式
GB/T 7714		 Ma, Li,Wang, Shaoqiang,Chen, Jinghua,et al. Relationship between Light Use Efficiency and Photochemical Reflectance Index Corrected Using a BRDF Model at a Subtropical Mixed Forest[J]. REMOTE SENSING,2020,12(3):17.
APA Ma, Li.,Wang, Shaoqiang.,Chen, Jinghua.,Chen, Bin.,Zhang, Leiming.,...&Meng, Ze.(2020).Relationship between Light Use Efficiency and Photochemical Reflectance Index Corrected Using a BRDF Model at a Subtropical Mixed Forest.REMOTE SENSING,12(3),17.
MLA Ma, Li,et al."Relationship between Light Use Efficiency and Photochemical Reflectance Index Corrected Using a BRDF Model at a Subtropical Mixed Forest".REMOTE SENSING 12.3(2020):17.

入库方式： OAI收割

来源：地理科学与资源研究所

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