Close relationship between spectral vegetation indices and Vcmax in deciduous and mixed forests

• Main Authors: Yanlian Zhou, Weimin Ju, Xiaomin Sun, Zhongmin Hu, Shijie Han, T. Andrew Black, Rachhpal S. Jassal, Xiaocui Wu
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2014-04-01
• Series: Tellus: Series B, Chemical and Physical Meteorology
• Subjects: Vcmax; spectral vegetation indices; ensemble Kalman filter; BEPS model
• Online Access: http://www.tellusb.net/index.php/tellusb/article/download/23279/pdf_1

Seasonal variations of photosynthetic capacity parameters, notably the maximum carboxylation rate, Vcmax, play an important role in accurate estimation of CO2 assimilation in gas-exchange models. Satellite-derived normalised difference vegetation index (NDVI), enhanced vegetation index (EVI) and model-data fusion can provide means to predict seasonal variation in Vcmax. In this study, Vcmax was obtained from a process-based model inversion, based on an ensemble Kalman filter (EnKF), and gross primary productivity, and sensible and latent heat fluxes measured using eddy covariance technique at two deciduous broadleaf forest sites and a mixed forest site. Optimised Vcmax showed considerable seasonal and inter-annual variations in both mixed and deciduous forest ecosystems. There was noticeable seasonal hysteresis in Vcmax in relation to EVI and NDVI from 8 d composites of satellite data during the growing period. When the growing period was phenologically divided into two phases (increasing VIs and decreasing VIs phases), significant seasonal correlations were found between Vcmax and VIs, mostly showing R2>0.95. Vcmax varied exponentially with increasing VIs during the first phase (increasing VIs), but second and third-order polynomials provided the best fits of Vcmax to VIs in the second phase (decreasing VIs). The relationships between NDVI and EVI with Vcmax were different. Further efforts are needed to investigate Vcmax–VIs relationships at more ecosystem sites to the use of satellite-based VIs for estimating Vcmax.