Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China
文献类型：期刊论文
| 作者 | Zhang, Feng1; Zhou, Guangsheng1 |
| 刊名 | ECOLOGY AND EVOLUTION
 |
| 出版日期 | 2017 |
| 卷号 | 7期号:13页码:4735-4744 |
| 关键词 | canopy chlorophyll content eddy covariance hyperspectral remote sensing light use efficiency spectral vegetation indices |
| ISSN号 | 2045-7758 |
| DOI | 10.11646/phytotaxa.298.2.5 |
| 文献子类 | Article |
| 英文摘要 | We estimated the light use efficiency (LUE) via vegetation canopy chlorophyll content (CCCcanopy) based on in situ measurements of spectral reflectance, biophysical characteristics, ecosystem CO2 fluxes and micrometeorological factors over a maize canopy in Northeast China. The results showed that among the common chlorophyll-related vegetation indices (VIs), CCCcanopy had the most obviously exponential relationships with the red edge position (REP) (R-2 = .97, p < .001) and normalized difference vegetation index (NDVI) (R-2 = .91, p < .001). In a comparison of the indicating performances of NDVI, ratio vegetation index (RVI), wide dynamic range vegetation index (WDRVI), and 2-band enhanced vegetation index (EVI2) when estimating CCCcanopy using all of the possible combinations of two separate wavelengths in the range 400-1300 nm, EVI2 [1214, 1259] and EVI2 [726, 1248] were better indicators, with R-2 values of .92 and .90 (p < .001). Remotely monitoring LUE through estimating CCCcanopy derived from field spectrometry data provided accurate prediction of midday gross primary productivity (GPP) in a rainfed maize agro-ecosystem (R-2 = .95, p < .001). This study provides a new paradigm for monitoring vegetation GPP based on the combination of LUE models with plant physiological properties. |
| 学科主题 | Plant Sciences |
| 出版地 | HOBOKEN |
| WOS关键词 | PHOTOSYNTHETICALLY ACTIVE RADIATION ; GROSS PRIMARY PRODUCTION ; NET ECOSYSTEM EXCHANGE ; REMOTE ESTIMATION ; CHLOROPHYLL CONTENT ; VEGETATION INDEXES ; SOIL RESPIRATION ; FOREST ; FRACTION ; FLUX |
| 语种 | 英语 |
| WOS记录号 | WOS:000397950200005 |
| 出版者 | WILEY |
| 资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41330531, 31661143028] ; China Special Fund for Meteorological Research in the Public Interest [GYHY201506001-3] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/22174]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Meteorol Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Feng,Zhou, Guangsheng. Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China[J]. ECOLOGY AND EVOLUTION,2017,7(13):4735-4744. |
| APA | Zhang, Feng,&Zhou, Guangsheng.(2017).Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China.ECOLOGY AND EVOLUTION,7(13),4735-4744. |
| MLA | Zhang, Feng,et al."Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China".ECOLOGY AND EVOLUTION 7.13(2017):4735-4744. |
入库方式： OAI收割
来源：植物研究所
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