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Future Challenges

Addressing challenges in water resources management through science advancements to predict ecological outcomes and manage risks. Enhancing communication, building capacity, and fostering partnerships for sustainable water management.

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Future Challenges

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  1. Future Challenges The Initial Workshop on USGS/FWS Future Challenges Summary of Breakout Session - Water Resources

  2. 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.

  3. 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

  4. 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

  5. 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

  6. Partnerships • EPA • ACE • BOR • NGOs- Scientific Societies, Advocacy, Universities • NRCS • Watershed Councils • Local water management districts • State resource agencies

  7. 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

  8. Long Term Actions • Develop information to support model development • Model development and integration • Predictive models • Application

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