Chin J Plan Ecolo ›› 2016, Vol. 40 ›› Issue (10): 1077-1089.doi: 10.17521/cjpe.2015.0451

• Research Articles • Previous Articles     Next Articles

Relationship between photochemical reflectance index with multi-angle hyper-spectrum and light use efficiency in urban green-land ecosystems

Zhi-Qing YANG1, Bao-Zhang CHEN1,2,*(), Tian-Shan ZHA1, Xin JIA1   

  1. 1College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
    2Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Beijing 100101, China
  • Online:2016-11-02 Published:2016-10-10
  • Contact: Bao-Zhang CHEN


Aims Light-use efficiency (LUE) is one of critical parameters in the terrestrial ecosystem production studies. Accurate determination of LUE is very important for LUE models to simulate gross primary productivity (GPP) at regional and global scales. We used eddy covariance technique measurement and tower-based, multi-angular spectro-radiometer observations in autumn 2012 to explore the relationship between bidirectional reflectance distribution function (BRDF) corrected photochemical reflectance index (PRI) and LUE in different phenology and environment conditions in urban green-land ecosystems. Methods Using the eddy covariance technique, we estimated the temporal changes in GPP during the autumn 2012 over Beijing Olympic Forest Park. LUE was calculated as the ratio of GPP to the difference between incoming photosynthetically active radiation (PAR) and PAR reflected from the canopy. Daily PRI values were averaged from the BRDF using semi-empirical kernel driven models. The absolute greenness index (2G_RB) was made by webcam at a constant view zenith and view azimuth angle at solar noon. The logistic function was used to fit the time series of the greenness index. The onset of phonological stages was defined as the point when the curvature reached its maximum value. Important findings Webcamera-observed greenness index (2G_RB) showed a decreasing trend. There was a highly significant relationship between 2G_RB and air temperature (R2 = 0.60, p < 0.001). This demonstrates that air temperature is the main driving factor to determine the phenology. PRI estimated from multi-angle hyper-spectrum can estimate LUE in urban green-land ecosystems in vigorous photosynthetic period. The correlation was the strongest (R2 = 0.70, p < 0.001) in the peak photosynthetic period. PRI relates better to LUE under high temperature (>15 °C) with high vapour pressure deficit (VPD) (>700 Pa) and high PAR (>300 μmol·m-2·s-1). The LUE was up-scaled to landscape/regional scales based on these relationships and phenology. It can also be used for the estimation of GPP of urban green-land with high accuracy.

Key words: light use efficiency, photochemical reflectance index, absolute greenness index, urban green-land ecosystems, bi-directional reflectance distribution

Fig. 1

Changes of absolute greenness index (2G_RB) of viewazimuth (225°) and viewzenith (63°) at noon as well as daily mean air temperature (Ta)."

Fig. 2

Dark current fitting figure."

Fig. 3

Spectral curves of viewazimuth (225 degrees) and viewzenith (63 degrees) are changed with time at noon."

Fig. 4

Variability of photochemical reflectance index (PRI) with different view angles. A, variability of PRI with different view azimuth angles (VAA) and view zenith angles (VZA). B, Illustrated PRI variations in relation to the angle between sun and viewer. Data obtained from 10:45 to 11:00 on August 31, 2012."

Fig. 5

Time variations of soil temperature (Tsoil), vapour pressure deficit (VPD), gross primary productivity (GPP), photosynthetically active radiation (PAR), photochemical reflectance index (PRI) and light use efficiency (LUE). PRI and LUE are measured every half hour from 9:00 to 16:00."

Fig. 6

Relationships of half-hour bioclimatic parameters (Tsoil, PAR and VPD) with light use efficiency (LUE) (A-C) and with photochemical reflectance index (PRI) (D-F) observed 9:00-16:00 each day across the autumn. PAR, photosynthetically active radiation; Tsoil, soil temperature; VPD, vapour pressure deficit."

Fig. 7

Correlation coefficients (r) of half-hour photochemical reflectance index (PRI) with light use efficiency (LUE) on individual days, with data acquired 9:00-16:00 (A) and half hour rainfall during the study period (B). The length of error-bars represents the p value of each linear regression. Positive indicate positive correlation, and negative indicate negative correlation in Fig. 7A."

Fig. 8

Relationships between half-hour (A) and daily (B) average photochemical reflectance index (PRI) and light use efficiency (LUE), calculated using data observed 9:00-16:00 each day throughout the study period."

Fig. 9

Linear relationships between daily average photochemical reflectance index (PRI) and light use efficiency (LUE), calculated using data observed 9:00-16:00 each day in the regular growth period (A) and leaf fall period (B)."

Fig. 10

Average diurnal correlation coefficients (r) of half-hourly photochemical reflectance index (PRI) with light use efficiency (LUE) in relation to individual bioclimatic factors or gross primary productivity (GPP) throughout the whole season."

Fig. 11

Revised photochemical reflectance index (PRIR2) changes with light use efficiency (LUE) in the senescence stage."

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