Process-based modelling offers interpretability and physical consistency in many domains of
geosciences but struggles to leverage large datasets efficiently. Machine-learning methods …

Non-perennial river segments—those that recurrently cease to flow or frequently dry—occur
in all river networks and are globally more abundant than perennial (always flowing) …

Accurate streamflow prediction is crucial for effective water resource management. However,
reliable prediction remains a considerable challenge because of the highly complex, non …

The flow regime paradigm is central to the aquatic sciences, where flow drives critical
functions in lotic systems. Non‐perennial streams comprise the majority of global river …

Streamflow duration is important for aquatic ecosystems and assigning stream protection
status. This study predicts streamflow duration, represented as the fraction of time with flow …

Aim Habitat templet theory predicts that the functional niches of species evolved in response
to selection pressures imposed by each species' spatial–temporal environment …

Despite rises in drought frequency and human water demands, streamflow regime shifts
from perennial to non‐perennial have not been evaluated in many arid/semi‐arid regions …

Knowing where and when rivers cease to flow provides an important basis for evaluating
riverine biodiversity, biogeochemistry and ecosystem services. We present a novel modeling …

Ideally, stream bioassessment indices would be applicable, effective, and directly
comparable across the full range of fluvial landscapes that occur within and across regions …

During the last decade, meter‐resolution topo‐bathymetric digital elevation models (DEMs)
have become increasingly utilized within fluvial geomorphology, but most meter‐scale …