ABSTRACT Tropospheric ozone (O 3 ) is a pervasive stressor that impairs forest biomass and alters carbon allocation strategies. This study assessed biomass responses across 17 woody taxa under free‐air controlled exposure (FACE), integrating a decade of experiments conducted with an analogous exposure regime applied to deciduous and evergreen species. The analysis provided a comparative evaluation of existing flux‐based metrics. Statistical analyses revealed consistent reductions in relative total (RTB), aboveground (RTAB), and belowground (RTBB) biomass with increasing O 3 uptake in terms of phytotoxic ozone dose (POD 1 mmol m −2 ). Deciduous species reached the 4% biomass reduction threshold (CL 4 ) at lower POD 1 levels for RTBB (10.21), RTAB (13.16), and RTB (10.77) and displayed relatively small values for RTBB (2.75), RTAB (5.70), and RTB (3.31), where represents the increment in O 3 uptake required to reach the CL 4 threshold. In contrast, evergreen species showed higher CL 4 for RTBB (11.48), RTAB (15.40), and RTB (13.86) and larger values for RTBB (8.40), RTAB (12.32), and RTB (10.78), reflecting a slower biomass decline. Contrasting relationships suggest that leaf habit‐specific patterns are associated with divergent carbon allocation strategies under O 3 stress. In deciduous species, POD 1 and Leaf Index Flux (LIF) were negatively correlated with shoot‐to‐root ratio (S/R), whereas in evergreen species, both indices were positively correlated with leaf area ratio (LAR) and S/R. In conclusion, flux‐based metrics provided a biologically robust framework for quantifying O 3 ‐induced biomass losses, revealing higher sensitivity in deciduous species than in evergreens and highlighting the root as the most vulnerable compartment under O 3 exposure. The findings should be interpreted considering the spatial and temporal constraints of a single‐site FACE experiment and the focus on O 3 as a stand‐alone stressor without interaction effects. Future research should combine O 3 uptake with multi‐stressor frameworks to better predict biomass and carbon responses in complex field conditions.
Ghosh et al. (Thu,) studied this question.