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RTT Analysis Workshop Synthesis: Data Gaps and Research Needs (Chapter 5)

RTT Analysis Workshop Synthesis: Data Gaps and Research Needs (Chapter 5). Presented by Keely Murdoch MaDMC Chair Yakama Nation. What is a ‘Data Gap’ ?. Recovery goals Monitoring measures progress Focus on populations of interest Spatial scale Collects data used to generate metrics

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RTT Analysis Workshop Synthesis: Data Gaps and Research Needs (Chapter 5)

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  1. RTT Analysis Workshop Synthesis: Data Gaps and Research Needs(Chapter 5) Presented by Keely Murdoch MaDMC Chair Yakama Nation

  2. What is a ‘Data Gap’ ? • Recovery goals • Monitoring measures progress • Focus on populations of interest • Spatial scale • Collects data used to generate metrics • Many metrics are already being collected • Missing data used to generate the required metrics are ‘data gaps’

  3. Summary of Key Management Questions • MaDMC upper Columbia data gap assessment • Prioritize known data gaps • Framework to rate new data gaps • Columbia Basin-wide RM&E Assessment • Means to fund some data gaps

  4. Upper Columbia Data Gap Assessment • Definition: a critical uncertainty that has not been addressed • Framework to prioritize gaps • VSP parameters • Geographic scale • Use of information • Tiered ranking • Shared throughout the region

  5. ESA NPCC F&W Program FCRPS BiOp PUD HCPs & Settlement Agreements Fish Accords ESA Recovery Plans Regional fisheries management objectives Fish Pop Status/trend VSP Hatchery Effectiveness Habitat Status/trend Habitat Effectiveness Current and Proposed RM&E Critical Uncertainties and Gaps Columbia Basin Coordinated Anadromous Monitoring Strategy

  6. Current Progress • Steelhead monitoring • Relative reproductive success of hatchery fish • Precision and accuracy of redd counts • Genetic/demographic contribution of red-band rainbow trout to UCR steelhead.

  7. What is still needed to answer key management questions • S&T data from the Canadian Okanogan (Steelhead) • Spatially balance genetic sampling program for Chinook and Steelhead • Increased sample size for effectiveness monitoring • Juvenile life-history and its connection to habitat use and survival

  8. Summary • Data gaps are dynamic • Many critical gaps remain • Analysis of existing data • Collection of new data • How to use existing data to answer key recovery/management questions • More work needs to be done to integrate and interpret the ongoing stream of current data

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