Characterizing the transit times or ‘ages’ of water through soil-plant systems is important for modeling ecohydrological processes and improving the accuracy of climate and terrestrial biosphere models (CTBMs). Soil-plant transit times, however, remain poorly characterized. Here, we revisit and leverage a unique isotope labeling dataset from a tropical mesocosm experiment to investigate soil-plant transit times over a 9-month period following a controlled drought. We propose a simple framework for modeling water movement through soil-plant systems, accessible to groups of researchers outside catchment hydrology. We employ two modeling approaches to estimating transit times – parametric (gamma/lognormal) and data-based (phenomenological). Our findings reveal that the parametric approach results in mean transit times (MTTs) that are generally longer than MTTs derived from the data-based approach, particularly in trees. Further, our results demonstrate significant preferential flows in the vadose zone and similar water flow patterns via trees at the scale of this ecosystem. Analogous to preferential flow in soils, we refer to this ecosystem-scale water flow via trees as ‘xylem bias’, whereby some trees have a stronger pull on water and/or larger pool of stored water than others. These results suggest a complex interplay of partitioning, storage, and release mechanisms that remain largely unaccounted for in soil-plant transit time literature. We suggest that our findings have significant implications for CTBMs, underlining the need for improved representations of root water uptake and internal water storage. Finally, our results point to the need for interdisciplinary approaches to unravel the complexities of water transport in soil-plant systems.