The cover image is based on the Overview Microbial abundance and diversity investigations along rivers: Current knowledge and future directions by Kexin Li et al., https://doi.org/10.1002/wat2.1547.

Machine learning has been used in various hydrologic applications in stand‐alone mode or integrated with process‐based modeling. Arrows indicate information flow.

Woodlands are known to have a positive effect on flood mitigation, but the impact of different woodland types for natural flood management is not fully understood. We review the current state of research and suggest that improvement is needed in quantifying the effect of woodland types on catchment streamflow.

(A) Differences in floodplain delineation with hydrological and pedological approach in an urbanized area the city of Zlín, Czech Republic. (B) View of the edge of the active floodplain area (100‐year flood extent in the map) formed by a levee. Source: authors, based on data provided by T. G. Masaryk Water Research Institute and Research Institute for Soil and Water Conservation.