1. Using a GIS to Develop a Binational, Multi-discipline Decision Support System for The Huron Basin Mark MacKay Michigan Dept. of Natural Resources

2. Project Context Lake Huron traditionally managed independentlyLake Huron traditionally managed independently Much data collected, little integration or data sharing.Much data collected, little integration or data sharing. Lake Huron Technical Committee Members collaborated to design and develop a GIS for this purpose.Lake Huron Technical Committee Members collaborated to design and develop a GIS for this purpose.

3. Goals and Objectives Ultimate Goal: Foster a collaborative, holistic, ecosystem management approach to managing the Lake Huron Basin by: Proximate Goals: Create a GIS-based Decision Support System with a common platform

4. GIS More Than Map Making Software The real power in a GIS is its capacity to perform queries and analyses.The real power in a GIS is its capacity to perform queries and analyses. Rich Attribution provides a wealth of informationRich Attribution provides a wealth of information Decision Support.Decision Support.

8. In Addition to Visualizations, These Queries Provide: Habitat Parameter Summaries (Stream Size, Temperature, Gradient)Habitat Parameter Summaries (Stream Size, Temperature, Gradient) Summaries Compared with Other Passage/ Removal OpportunitiesSummaries Compared with Other Passage/ Removal Opportunities

9. Additional Accessible Stream: 573 km. Low Gradient: 421 km. Med. Gradient: 152 km.

10. Will Provide Analogous Tool for Basin Automate the Process for BasinAutomate the Process for Basin Add Quantitative habitat parameters for streams to improve summariesAdd Quantitative habitat parameters for streams to improve summaries

11. GIS More Than Map Making Software The real power in a GIS is its capacity to perform queries and analyses.The real power in a GIS is its capacity to perform queries and analyses. Rich Attribution provides a wealth of information.Rich Attribution provides a wealth of information. Decision Support.Decision Support.

14. Dow Dam Attribution:

15. GIS More Than Map Making Software The real power in a GIS is its capacity to perform queries and analyses.The real power in a GIS is its capacity to perform queries and analyses. Rich Attribution provides a wealth of informationRich Attribution provides a wealth of information Decision SupportDecision Support

16. 1999 Lake Trout Stocking in U.S. Waters

17. Known Historic Lake Trout Spawning Reefs RESTORE

18. Lake Huron Bathymetry

19. Provide Decision Makers With Current and Accurate Data at Their Fingertips: Complete bathymetryComplete bathymetry Subsurficial geologySubsurficial geology Help Assess Size and quality of reefsHelp Assess Size and quality of reefs

20. Proposed 2001 U.S. Lake Trout Stocking Sites

21. To develop the Decision Support System: Integrate existing dataIntegrate existing data Develop new data layersDevelop new data layers Develop decision support toolsDevelop decision support tools Help to Coordinate future efforts by - Ensure data compatibility - Avoid duplicative efforts

22. Project Status and Schedule First Year (funded by Great Lakes Fish and Wildlife Restoration Act)First Year (funded by Great Lakes Fish and Wildlife Restoration Act) –identify existing layers –assess quality –design common database and integrate existing data –solicit funds to complete work Second YearSecond Year –fill identified habitat data gaps (e.g. offshore, nearshore, and tributary data layers) –develop decision support tools –modify system according to user needs

23. Obstacles and Challenges Quality of existing data varies tremendously (e.g. dams and streams)Quality of existing data varies tremendously (e.g. dams and streams) Collaboration can be challenging:Collaboration can be challenging: –sounds great in theory Sharing data (proprietary, biologically sensitive, cost recovery)Sharing data (proprietary, biologically sensitive, cost recovery) Providing for everyone’s needsProviding for everyone’s needs Integrating data never intended to be integratedIntegrating data never intended to be integrated

24. Final Product Provide information and tools needed by managers to make informed decisions regarding management and conservation of systemProvide information and tools needed by managers to make informed decisions regarding management and conservation of system –Existing Layer Integration –New Layer Development –Development of Tools –Pool Data (Provincial, State, Federal, Tribal)

25. Fish Collection Data

26. Integration of Existing GIS layers 1)Biological Layers (for species of interest)1)Biological Layers (for species of interest) Spawning Locations (historic, contemporary) Spawning Locations (historic, contemporary) Stocking, Harvest, Sampling DataStocking, Harvest, Sampling Data 2)Habitat Layers2)Habitat Layers 3)Environmental Layers3)Environmental Layers Areas of Concern Areas of Concern Biodiversity AreasBiodiversity Areas

27. Final Product Provide information and tools needed by managers to make informed decisions regarding management and conservation of systemProvide information and tools needed by managers to make informed decisions regarding management and conservation of system –Existing Layer Integration –New Layer Development –Development of Tools –Pool Data (Provincial, State, Federal, Tribal)

28. New Data Development Hydrography (Ontario situation, U.S. situation)Hydrography (Ontario situation, U.S. situation) Offshore (surficial geology)Offshore (surficial geology) Nearshore (wetland data)Nearshore (wetland data) Dams (Ontario situation, U.S. situation)Dams (Ontario situation, U.S. situation)

29. Final Product Provide information and tools needed by managers to make informed decisions regarding management and conservation of systemProvide information and tools needed by managers to make informed decisions regarding management and conservation of system –Existing Layer Integration –New Layer Development –Development of Tools –Pool Data (Provincial, State, Federal, Tribal)

30. Combination of Layers and Tools Will Allow Managers to: 1) identify impediments to fish population recovery1) identify impediments to fish population recovery 2) evaluate and prioritize alternative habitat restoration scenarios2) evaluate and prioritize alternative habitat restoration scenarios 3) capitalize on opportunities provided by hydroelectric companies receptive to providing fish passage3) capitalize on opportunities provided by hydroelectric companies receptive to providing fish passage 4) provide dynamic approach to developing and maintaining management plans (e.g. basin, species)4) provide dynamic approach to developing and maintaining management plans (e.g. basin, species)

31. Final Product Provide information and tools needed by managers to make informed decisions regarding management and conservation of systemProvide information and tools needed by managers to make informed decisions regarding management and conservation of system –Existing Layer Integration –New Layer Development –Development of Tools –Pool Data (Provincial, State, Federal, Tribal)

32. Data from numerous jurisdictions available in a common database

33. Enable managers to prioritize restoration efforts from a shared perspective.

34. WE NEED YOUR HELP This DSS is being designed for a variety of individuals with disparate and common needsThis DSS is being designed for a variety of individuals with disparate and common needs We need your input regarding tools, layers, and analyses that you’d like to see incorporatedWe need your input regarding tools, layers, and analyses that you’d like to see incorporated Please share your thoughtsPlease share your thoughts

35. Collaborators, Partners, and Associates