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Future Challenges. The Initial Workshop on USGS/FWS Future Challenges Summary of Breakout Session - Water Resources. Goal. To advance the science needed to predict the ecological outcomes and manage the risks of a broad suite of water management options
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Future Challenges The Initial Workshop on USGS/FWS Future Challenges Summary of Breakout Session - Water Resources
Goal To advance the science needed to predict the ecological outcomes and manage the risks of a broad suite of water management options • Examples include changing flow regulation, dam removal, channel modification, water development and riparian vegetation management.
Major Challenges • Increasing competition for water resources • Define the hydrological requirements for ecosystems • Information to the public for decision making • Recognize: we work in a social context and we need to communicate our message to the public • Setting up the infrastructure & systems for prioritizing applications of new science
Major Challenges • Building capacity and communications to advance the science to meet the new paradigm • Large scale • Whole hydrograph • Dynamic channel • Surface water AND groundwater • Community
Short Term Actions • USGS working w/NCTC Training Program • Develop bi-lateral program • In budget in both agencies, commitment at HQ, dual decision making, clear objectives, integrated approach • Cross-fertilization between our organizations • Starting Point: focus on a few areas on the landscape where there would be transfer value • Leverage the advances in technology - data collection, storage, and analysis
Partnerships • EPA • ACE • BOR • NGOs- Scientific Societies, Advocacy, Universities • NRCS • Watershed Councils • Local water management districts • State resource agencies
Pearls of Wisdom • Sustain and support integrated monitoring • We talk about water in the broadest sense • Groundwater and surface water are an integrated system • The Fish is at the table! • USGS needs to be at the table earlier and longer
Long Term Actions • Develop information to support model development • Model development and integration • Predictive models • Application