Abstract

Abstract. Unattended optical sensors are increasingly being deployed on eddy covariance flux towers and are often used to complement existing vegetation and micrometeorological measurements to enable assessment of biophysical states and biogeochemical processes over a range of spatial scales. Of particular interest are sensors that can measure the photochemical reflectance index (PRI), which can provide information pertaining to leaf pigments and photosynthetic activity. This interest has facilitated the production of a new range of lower-cost multispectral sensors specifically designed to measure temporal changes in the PRI signal. However, little is known about the characteristics (spectral, radiometric and temporal) of many of these PRI sensors, making it difficult to compare data obtained from these sensors across time, geographical locations and instruments. Furthermore, direct testing of the capability of these sensors to actually detect the conversion of the xanthophyll cycle, which is the original biological basis of the PRI diurnal signal, is largely absent, often resulting in an unclear interpretation of the signal, particularly given the wide range of factors now known to influence PRI. Through a series of experiments, we assess the sensitivity of one of the leading brands of PRI sensor (Skye SKR 1800) to changes in vegetation photosynthetic activity in response to changing irradiance. We compare the results with those obtained using a more expensive industry-standard visible to near-infrared hyperspectral spectrometer (PP Systems UniSpec) and determine the radiometric compatibility of measurements made by the different instruments. Results suggest that the SKR 1800 instrument is able to track rapid (seconds to minutes) and more gradual diurnal changes in photosynthetic activity associated with xanthophyll cycle pigment conversion. Measurements obtained from both the high and lower cost instrument were significantly linearly correlated but were subject to a large systematic bias, illustrating that differences in instrument configuration (e.g. spectral response functions and band positions) can have a large impact on the PRI measurement values obtained. Despite differences in absolute PRI values, significant correlations were observed between the canopy PRI derived from both the SKR 1800 and the UniSpec instruments, and the epoxidation state of the xanthophyll cycle (r2 = 0.46 p < 0.05 and r2 = 0.76 p < 0.01, respectively). However, the dynamic range of the SKR 1800 PRI signal was often lower than more expensive instruments and thus the lower cost multispectral instrument may be less sensitive to pigment dynamics related to photosynthetic activity. Based on our findings, we make a series of recommendations for the effective use of such sensors under field conditions and advocate that sensors should be fully characterized prior to their field deployment.

Highlights

  • Quantitative estimates of carbon dioxide exchange at regional to global scales are critical for understanding the links between carbon and climate

  • When data from all plant canopies used in the dark-to-light experiments were pooled, there was a near-linear relationship between the photochemical reflectance index (PRI) recorded by both sensors (r2 = 0.98; Fig. 3a), the values obtained from the SKR 1800 sensor pair exhibited a lower dynamic range and were consistently and significantly higher (p < 0.0001, Student’s t test) than the UniSpec dual channel (DC), with a mean difference (MD) of 0.1

  • After normalizing for instrument configuration differences, using the spectral response functions (SRFs) for the SKR 1800, the SKR 1800 PRI remained consistently and significantly higher (p < 0.0001, Student’s t test) than those derived from the UniSpec DC, but the values were closer to the 1 : 1 line, and the MD was reduced by a factor of 10 (MD = 0.01, Fig. 3b)

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Summary

Introduction

Quantitative estimates of carbon dioxide exchange at regional to global scales are critical for understanding the links between carbon and climate. Remote sensing can provide spatially continuous data across a range of spatial scales and is rapidly becoming an important supplementary source of information for carbon monitoring and modelling efforts Through the use of satellites such as MODIS (Moderate Resolution Imaging Spectrometer), remote sensing can be used to derive regional and global measures of vegetation parameters (e.g. leaf area index (LAI) and fraction of absorbed photosynthetically active radiation, (FAPAR); Myneni et al, 1997), which can be utilized in biogeochemical models for estimating carbon exchange variables such as gross primary productivity (GPP; Running et al, 2004). Spectral vegetation indices, based on reflected radiation, which have the potential to track changes in the light use efficiency (LUE) of vegetation (Monteith and Moss, 1977), such as the photochemical reflectance index (PRI), are of particular interest. Because of the relationship between excess light and photosystem II (PSII) photochemical efficiency, the PRI can provide an estimate of photosynthetic light-use efficiency (Gamon et al, 1992; Peñuelas et al, 1995)

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