Artificial intelligence methods and application have recently shown great contribution in
modeling and prediction of the hydrological processes, climate change, and earth systems …

Abstract Context Artificial Intelligence (AI) has rapidly developed over the past several
decades. Several related AI approaches, such as Machine Learning (ML), have been …

Abstract Study region The Dongting Lake (DTL) wetland, China. Study focus At present,
there are few studies on ecohydrological assessments based on the collaborative study of …

The natural flow regime (ie magnitude, frequency, duration, timing and rate of change of flow
events) is crucial for maintaining freshwater biodiversity and ecosystem services. Protecting …

Maintaining river health in a changing environment is an important way to improve the
service value of the river basin ecosystem. An ecological flow threshold process with …

Environmental flow refers to the fundamental hydrological process that sustains the
ecosystem of rivers and lakes. Safeguarding environmental flow is crucial for optimal water …

Recent decades have produced a river of field data linking hydrologic alteration to fish
populations in hundreds of US river systems. Adverse impact thresholds and relationships …

Spatial and temporal variability of streamflow due to climate change affects hydrological
processes and irrigation demands at a basin scale. This study investigated the impacts of …

Hybridization is a complicated, oft-misunderstood process. Once deemed unnatural and
uncommon, hybridization is now recognized as ubiquitous among species. But hybridization …

The characteristic pattern of variation in flow magnitude, frequency, duration, timing, and rate
of change defines the flow regime of rivers and streams and is a key driver of ecosystem …