Increasing the understanding the functioning of streams through process-based modelling, focusing on hydrological, geomorphological, biogeochemical or ecological components, and their linkages., Investigating the impacts of global change on stream ecosystems through advanced stochastic or numerical modelling approaches., Development and application of hydrology-based numerical models to predict cross-scale spatio-temporal patterns of fluvial morphology, biogeochemistry or related freshwater biodiversity and interactions with the surrounding landscape., Investigation of spatial hydrological and linked ecological processes (linking to metapopulations and meta-ecosystems) in stream networks based on virtual analogues that reproduce topological and scaling features of natural stream networks., Simulations of the transport and turnover of environmental or reactive tracers, sediment, nutrients, pollutants and environmental DNA in rivers., Scenario simulations of the response of streams to both natural and human-caused disturbances e.g., floods, reservoir construction, channelization, or river restoration., Use of these models to assess the effectiveness of sampling strategies and science-based information of land, water and ecosystem management as well as policy making., Establish a new research group on linking physical, chemical and ecological process-based models of streams.
