Trade-Offs in Constraining Evapotranspiration Estimates in Complex Landscapes Using a Tracer-Aided Ecohydrological Model
ET interacts with multiple hydrological processes: groundwater recharge, lateral flow and streamflow. The inter-linkages become increasingly complex in ET-dominated regions with intensive management. We showed how tracer-aided modelling captures ET dynamics and how trade-offs between discharge and other observations are reflected in simulated hydrological flux/storage patterns.
Exploring impacts of forest management strategies on water partitioning in a drought-sensitive catchment using a tracer-aided ecohydrological framework
The authors developed a parsimonious, tracer-aided forest management scenario framework using an ecohydrological model, which was designed to isolate the dominant vegetation-structural controls on long-term water partitioning. Evapotranspiration was highest under conifers, exceeding broadleaf forests and agroforestry by 7 % and 11 %. Agroforestry exhibited the greatest groundwater recharge.
Short-term thermal stratification induces hypoxia-related nutrient pulses which reshapes cyanobacterial dynamics in a shallow lake
Iron focusing and sulphur-driven mineral formation regulate phosphorus sequestration in Lake Stechlin (NE Germany)
The Anatomy of Convection Under Lake Ice: Reynolds Stresses and Convective Energy Budget From In Situ Observations
Rapid drought-to-flood weather whiplash amplifies climate change governance failure
Prediction of Hydroclimatic Anomalies Using a New Isotope Precipitation Index
The authors used stable water isotopes to trace the origin of precipitation and are developing a new, isotope-based Evaporation and Moisture Recycling Index (iEMI). The iEMI can identify anomalous dry periods and links evaporation-driven precipitation to droughts in Europe, Africa, and Australia. This innovative index can help improve drought monitoring and optimize water management worldwide.
Unravelling the Role of Surface Water–Groundwater Connectivity in the Andean Páramo
