From Science to Resoration
The Stream Restoration Integrated Program (SRIP)- NCED's SRIP research initiative aims to make advance in the science and practice of stream restoration. In an age of human modification and impacts to the landscape, rivers and streams are undergoing change - change reflected through altered hydrology, modified sediment transport dynamics, disconnected floodplains, and changes to stream ecosystems.
The Stream Restoration Integrated Program conducts and coordinates research by working with agency and industry partners to identify information needs, develop improved tools, and transfer knowledge into practice. It aims to promote a transition in restoration practice from an approach based on single-discipline analogy to one based on multidisciplinary quantitative prediction. This transformation defines and promotes an objectives-driven approach to restoration, emphasizing quantitative objectives and predictive design and supporting explicit trade-off evaluation and decision analysis.
This research program involves biologists, civil engineers, ecologists, geochemists, geologists, hydrologists, and economists in a concerted effort to develop practical, predictive models of river systems that can guide stream and watershed restoration practice. For more information download NCED's 2011 Stream Restoration Project Report.
Stream Restoration Toolbox- NCED has a number of tools developed by researchers to help practitioners transition toward a quantitative, multidisplinary approach to stream restoration and are free for the research community to download and use. See the Stream Restoration Toolbox for more info.
Certificate Program in Stream Restoration - A one-year program whose graduates will understand how to blend engineering, physical, biological, and social sciences in prioritizing, designing, implementing, and evaluating stream restoration projects. Learn more.
For more information on NCED Streams research, please contact:
Stream Restoration Program Manager
Department of Geography and Environmental Engineering
Johns Hopkins University
3400 N. Charles Street
Baltimore, MD 21218
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