This session invites contributions that advance the observation, understanding, and modelling of ecohydrological processes across spatial and temporal scales. We particularly welcome studies of vegetation–water interactions, including root water uptake, evaporation and transpiration, canopy interception, soil moisture–plant feedbacks, and ecosystem responses to climatic and environmental changes. Contributions combining experiments, in-situ observations, remote sensing, data-driven approaches, and process-based modelling are encouraged, with particular emphasis on identifying mechanisms, understanding their variability across scales, and improving the representation and prediction of ecohydrological processes.

A particular focus is placed on scaling, data-model integration, and transferability: how can observations and process understanding obtained at fine spatial and temporal scales be translated into reliable predictions across heterogeneous landscapes and under climatic, ecological, and land-use change? Contributions addressing model evaluation, uncertainty, parameterization, scaling, and transferability across contrasting environments are especially encouraged. We also welcome work that connects improved predictive capability to challenges in ecosystem, water resources, and land management.

Topics of interest include, but are not limited to: (1) ecohydrological mechanisms and feedbacks among hydrological, ecological, and biogeochemical processes; (2) multi-scale observation and modelling of ecohydrological processes; and (3) scaling, model evaluation, uncertainty, and transferability across heterogeneous landscapes and changing climatic, ecological, and land-use conditions.

The session aims to bring together approaches that advance fundamental process understanding and the predictive capability of ecohydrological models, fostering new perspectives on how ecohydrological knowledge can be translated across scales and environmental conditions.