Urban Hydrological Connectivity and Response Patterns Across Timescales: An Integrated Time-Frequency Domain Analysis
The authors investigated the interconnections of rainfall, groundwater and stream flow in the Wuhle river in Berlin using autocorrelation, cross-correlation and time-frequency analyses of long-term data. Despite the strong influence of urban storm drainage, they showed a high degree of persistence of the groundwater signals.
Integral Modelling Approach for Hyporheic Exchange due to Porous Log Jams: Comparison With Experiments and Sensitivity Studies
Where, when, and how FAIR do data from aquatic mesocosm experiments get published?
Individual differences in speed–accuracy trade-off influence social decision-making in dyads
Hydrological Connectivity Dominates NO3-N Cycling in Complex Landscapes – Insights From Integration of Isotopes and Water Quality Modeling
The authors integrated isotope-aided with N modelling to quantify the (dis)connection of different flow paths and related biogeochemical transformations, which is important for land and water management. Hydrological connectivity controls N transformations by regulating soil moisture and available NO3-N for processing from upstream inflows.
Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico
Towards sustainable lake restoration
Morphological and molecular assessment of muscle metacercariae infecting tench Tinca tinca from fish farms and wild populations in Germany
Understanding ecohydrology and biodiversity in aquatic nature-based solutions in urban streams and ponds through an integrative multi-tracer approach
The authors used stable water isotopes, hydrochemistry and eDNA in a novel, integrated tracer-approach to show how ecohydrological interactions and biodiversity in urban aquaNBS are influenced by urban water sources and connectivity. The direct linkages between hydrology and microbial patterns are highlighted, illustrating the sensitivity of aquaNBS to anthropogenic and climate influences.