Publications

Wang, XP; Chen, JM; He, LM; Ju, WM (2025). Global distribution of leaf maximum carboxylation rate derived from the TROPOMI solar-induced chlorophyll fluorescence data. AGRICULTURAL AND FOREST METEOROLOGY, 366, 110496.

Abstract
Photosynthesis plays an important role in the terrestrial carbon cycle and is often studied using terrestrial biosphere models (TBMs). The maximum carboxylation rate at 25 C-degrees (V-cmax25) is a key parameter in TBMs, and yet the information on the spatiotemporal distribution of this parameter is uncertain. In this study, we retrieved the global distribution of V-cmax25 at 0.25 degrees resolution based on TROPOMI-observed solar-induced chlorophyll fluorescence (SIF) and meteorological forcing data using a parameter optimization technique. This study improves global mapping of V-cmax25 using TROPOMI's SIF and MODIS photochemical reflectance index (PRI) for accurate GPP estimation by sunlit leaves in the following aspects: the previous method relied on an empirical estimation of the ratio of SIF per unit sunlit leaf area to that per unit shaded leaf area (beta), while beta here was derived from a look-up table (LUT) constructed using the Soil-Canopy Observation of Photosynthesis and Energy (SCOPE) model. Validated at two flux tower sites, the LUT method explained most of the variation in beta with R-2 = 0.71 and 0.67, RMSE=0.19 and 0.15 and Slope=0.84 and 0.70 for two ground validation sites. We calculated the global ratio of SIF from sunlit to that from shaded leaves (SIF_ratio), and found that the SIF ratio had a strong spatio-temporal variability with a global average of approximately 4.6, and that the contribution of SIF from shaded leaves to the canopy total was <20 %. The optimized V-cmax25 from TROPOMI was validated against V-cmax25 derived from concurrent flux data at 27 sites distributed globally using an independent method (R-2 = 0.39 - 0.65, RMSE = 6.47 - 21.74 mu mol m(-2) s(-1) and rRMSE =0.14-0.36). Based on the improved global V-cmax25 map, we found that, spatially, V-cmax25 varies significantly with latitude and between- and within-plant function types (PFTs), and temporally, it has strong seasonal variation in all PFTs except evergreen broadleaf forests. The new global V-cmax25 dataset would be useful for improving terrestrial GPP modelling from the current state of the art of using constant V-cmax25 values by plant functional type.

DOI:
10.1016/j.agrformet.2025.110496

ISSN:
1873-2240