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George Host Lucinda Johnson Carl Richards Natural Resources Research Institute

Lake Superior Decision Support Systems: GIS Databases and Decision Support Systems for Land use Planning. George Host Lucinda Johnson Carl Richards Natural Resources Research Institute University of Minnesota - Duluth. Mike Koutnik ESRI. Patrick Collins MN Dept. of Natural Resources.

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George Host Lucinda Johnson Carl Richards Natural Resources Research Institute

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  1. Lake Superior Decision Support Systems:GIS Databases and Decision Support Systems for Land use Planning George Host Lucinda Johnson Carl Richards Natural Resources Research Institute University of Minnesota - Duluth Mike Koutnik ESRI Patrick Collins MN Dept. of Natural Resources

  2. Lake Superior Basin - Economy • Forestry and forest products industries dominate the Lake Superior basin's economy. • Demand for tourism and leisure activities is replacing mining and other previous contributors to the region's economy, with an associated increase in development to leverage this demand. • The basin is highly multi-jurisdictional • 2 Federal governments • 3 States • ~15 counties • Many townships • Numerous tribal governments

  3. Lake Superior Basin - Ecology • The Basin is a unique harbor of biodiversity on a world-wide basis, with the greatest biodiversity is concentrated along coastal shores and wetlands. • The Basin's natural resources are increasingly in conflict with both forestry and development. And increasingly, the three are in conflict at a given place simultaneously.

  4. Objectives of LSDSS • To provide users with data and tools they can apply to local land and resource decisions. • Provide a context for local decisions that results in long-term sustainability and stewardship across the basin.

  5. Objectives - Data • Develop seamless, meso-scale GIS layers of the Lake Superior Basin • Provide for delivery of data and metadata via the Internet and CD-ROMs

  6. Objectives - Tools • Develop and test decision support tools for local decision makers for land use issues. • Develop and deploy interpretive kiosks with Lake Superior geographic information for use by residents and visitors to the Lake Superior Basin.

  7. Expected Results • GIS applications and databases will provide for • analysis, assessment and policy development at local and regional scales

  8. Expected Results • GIS applications and databases will provide for • analysis, assessment and policy development at local and regional scales • simultaneous consideration of ecological, economic, and social aspects

  9. Expected Results • GIS applications and databases will provide for • analysis, assessment and policy development at local and regional scales • simultaneous consideration of ecological, economic, and social aspects • prediction of future conditions, based on computer models and extrapolation of current trends

  10. Spatial Data Issues • Data sources, metadata quality, classification systems, and resolution differ across state and national boundaries • seamless maps are often difficult to construct

  11. Spatial Data Issues • Accessibility differs by data set • WI wetland inventory and many Canadian data sets are funded by cost-recovery mechanisms • Many data sets require restrictive licensing agreements • Distribution policies not well-established

  12. Geology Bathymetry Elevation Watershed Boundaries Climate Database Catalog – Physical features

  13. Presettlement Vegetation Contemporary Land Cover Wetland Inventory Forest Cover Detailed Landsat classification Forest Inventory FIA data points Database Catalog – Vegetation Layers

  14. Soils Hydrography Ecological Classification Natural Areas Protected areas (SNAs etc) Critical habitats Database Catalog – Ecological Layers

  15. Political boundaries Transportation Census Land Ownership Database Catalog – Social Layers City Lights: Time-integrated Irradiance (Defense Meteorological Satellite Program)

  16. Integration of GIS and Decision Support Tools • We want to predict the consequences of land use decisions • Allow “What-if” scenarios with map outputs • Provide estimates of the confidence of these predictions • Platform: Ecosystem Management Decision Support (EMDS) system • Integrates ARCVIEW GIS with the Netweaver knowledge-base and inference engine http://www.fsl.orst.edu/emds

  17. White Pine affected by: Climate Regional & Microclimate GIS-based Decision Support forWhite Pine Management

  18. White Pine affected by Climate Topography Slope and Aspect GIS-based Decision Support forWhite Pine Management

  19. White Pine affected by Climate Topography Slope and Aspect Distance to Water Blister rust incidence GIS-based Decision Support forWhite Pine Management

  20. The Decision Support System needs to integrate the different spatial layers to predict site suitability across the landscape Boolean (And/Or) Logic Fuzzy Logic The inputs and outputs for the decision model are geographic data layers GIS-based Decision Support forWhite Pine Management

  21. Lake Superior Pilot Projects • Prototype studies that integrate geographic information with models or decision support tools to address a local issue. • Designed to identify the datasets, analytical techniques, educational efforts, and institutional arrangements required to facilitate practical locally-based land-use planning.

  22. Pilot Project I - Miller Creek • Issue: Stormwater management in an urban stream • Designated trout stream • Intensive mall development in watershed

  23. Miller Creek Stormwater Modeling • Use EPA SWMM model to: • Simulate hydrology • Identify runoff quantity and quality problems • Identify data gaps

  24. Miller Creek Hydrograph Predicted and observed discharge from middle reach of Miller Creek.

  25. Miller Creek • develop “what if” scenarios to identify subwatersheds sensitive to development

  26. Comparison of hydrographs above and below mall development area on Miller Creek.

  27. Pilot Project II – Landuse planning in northern Wisconsin • Create a CD-ROM based educational tool for local (township/county) planners and citizen groups • Includes: • geographic data specific to the region • procedures involved in the planning process • examples of ordinance language

  28. Pilot Project II – Landuse planning in northern Wisconsin

  29. Land Use Planning Issues & Concerns • Timber management practices • Erosion and sediment control • Conservation/preservation of wetlands • Tax assessment of wetlands and wildlife areas • Loss of agricultural land to other uses • Urban sprawl • Maintaining a rural character and quality of life

  30. Land Use Planning CD • Spatial data • land use • transportation • rivers and lakes • natural features • political boundaries • Etc.

  31. Land Use Planning CD • Planning tools • example surveys • ordinances language • zoning policies • Development/preservation strategies • Other legal instruments that a local government could tailor to its needs

  32. Land Use Planning CD • Landscape graphics : air photo or line drawing examples of different scenarios • illustrating housing density and patterns (clustered or dispersed) • riparian buffers • Intent – show future landscape might look like under particular management strategies

  33. Lake Superior Decision Support Systems is funded by the US EPA Coastal Environmental Management Program through the MN Dept of Natural Resources www.nrri.umn.edu/lsgis

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