To develop hydro‐biogeochemical theories, we will need to acknowledge the challenge of data scarcity in the era of “big data”, to expand measurements beyond disciplinary boundaries, stream channels, and common places, and to fuse process‐based and data‐driven modeling tools, all within the framework of hypothesis testing.

Hydrologic signatures are metrics that we use to describe the complex dynamics of river flow.

This article reviews the state‐of‐the‐art scientific understanding of the beaver as an ecosystem engineer. It summarizes how beaver impact: (a) ecosystem structure and geomorphology, (b) hydrology and water resources, (c) water quality, (d) freshwater ecology, and (e) humans and society.

In wetlands, a little relief or microtopographic variation in the soil surface influences numerous hydrological and biogeochemical processes, creating strong feedbacks with ecological patterns, and functions that are important for management and conservation.

Cloud‐based computing, access to big geospatial data, and virtualization could revolutionize remote sensing applications in fluvial geomorphology. Google Earth Engine offers transformative potential for the large‐scale spatiotemporal quantification of river channel change, enabling deterministic science at scales defined by the user and determined by the phenomena of interest.

A variety of theoretical models are currently available for estimating coastal aquifer properties using tide waves as boundary conditions. This article reviews the most popular models and analytical solutions that can be used as a theoretical basis for the tidal method, clarifies the limitations, and indicates topics for future research.

Methods to monitor the transmission of schistosomiasis in the environment.

The concept map of hydrological regionalization methods for runoff prediction in ungauged catchments