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Adam Skibbe US-EPA

Ecological Modeling of the Flint Hills. Adam Skibbe US-EPA. Happy GIS Day!. Overview. The Project Background Research goals How that applies to the Flint Hills Long-term My work What do I do?. A Collaborative Effort. Region 7 and ORD Corvallis. EPA Regions. Background.

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Adam Skibbe US-EPA

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  1. Ecological Modeling of the Flint Hills Adam Skibbe US-EPA

  2. Happy GIS Day!

  3. Overview • The Project • Background • Research goals • How that applies to the Flint Hills • Long-term • My work • What do I do?

  4. A Collaborative Effort Region 7 and ORD Corvallis

  5. EPA Regions

  6. Background • Initial research • Hydrology modeling at H.J. Andrews LTER (Oregon) • Georgia Tech Hydrology Model (TOPMODEL) • Interest in applying to additional ecosystems • Chesapeake Bay

  7. Background • Kansas City air pollution concerns • Clean air = government money • Pollution = less/no money • Issue concerning spike in particulate matter… city questionsburning in the Flint Hills • How does burning in the Flint Hills impact air quality in KC?

  8. Background • ORD – Region 7 team up • How to address this question…? • Models • Things to consider • What is burning… ? (land cover) • How much… ? (total biomass) • What is in it… ? (nutrients) • Contributing… ? (hydrology, climate) Bill Snead / Journal - World

  9. Research Goals • Development of a Multi-Model Ecosystem Simulator • Modify models to run i/o from each other • Single set of input variables • Modifiable • Application to different ecosystems • Distribute for use • Future (phases 2 and 3) • Links to air quality models • Alternative futures • Scenario based  changes over time

  10. Biogeochemistry (MEL) • Hydrology (GTHM) • Land Cover (FORCLIM) EnvironmentalEffects Disturbances Ecosystem Simulator

  11. Modeling • Disturbances • Vegetation change • Climate variability • Management • Fire frequency • Grazing intensity • Pesticides • Fertilizers • Environmental effects • Terrestrial effects • Vegetation changes • Productivity • Carbon storage • Aquatic effects • Stream discharge • Nutrient loads

  12. The Multiple Element Limitation Model - MEL Example: CO2 Coarse Woody Debris C Ps Vegetation Nutrients Both N fix N fix Phase I SOM CO2 Deposition Soil Nutrients Weathering CO2 Phase II SOM Courtesy of Ed Rastetter Occlusion Leaching

  13. As it Relates • Tasks • Regional ecosystem modeling in the Flint Hills • Local ecosystem modeling in Konza Prairie • Focus on the Kings Creek watershed • Use for calibration of regional models • Slight differences between models • Mainly due to scale issues • Hydrology • Regional vs. local climate

  14. Konza Prairie • 3,487 ha • Native tallgrass prairie • 13 km S of Manhattan • Owned by The Nature Conservancy / KSU • Long – term ecologicalresearch (LTER) station • Began 1982 • Focus on burn, grazing research, etc.

  15. Konza Prairie

  16. Kings Creek Watershed • 1,637 ha • Within Konza • Sub-basin • data collection • model calibration • Available Data!

  17. Kings Creek Watershed

  18. The Flint Hills

  19. The Flint Hills • Around 10,000 sq. miles • Eastern Kansas into Northern Oklahoma • Originally Bluestem Pastures, renamed for high chert content • Primarily used for grazing, as land not suitable for tillage

  20. “GIS Support” • Data • Collection (gopher) • Analysis • Management • Collaboration at KSU • Communication • Web • Metadata • Visualization • “jack of all data” • Explorer

  21. Data Types - General • Stream flow (local) • Stream chemistry (local) • Climate • Precipitation • Temperature • Max, Min, Avg • Solar radiation • Relative humidity • Soils • Horizons • Texture • Bulk density • Hydraulic conductivity • Total N, C, P • Boundaries • FH, Konza, Watersheds • Modeling units • Elevation • Slope, Aspect, etc. • Land cover • Leaf Area Index • Impervious surfaces • Land use • Disturbances • Grazing / burning • Bedrock • Permeability • Structure

  22. Flint Hills Data

  23. Data Issues • Identifying gaps • Finding workarounds • Soils example • All variables not part of SSURGO • Append SCD pedon data • Surrogates for missingsoil types • Regional vs. local climate • Worldclim vs. weather stations

  24. Communication • Diffuse research team with variedbackgrounds • Math • Chemistry • Physics • Biology • Statistics • Programming • I can see the landscape… they cannot

  25. Communication • What do they need to know? • How do I tell them? • Maps • Videos • 3D • KML

  26. Visualization • Early reliance on static images / videos • ArcMap, ArcScene, ArcGlobe • Later expansion to use Kehole Markup Language (KML) • Google Earth, ArcExplorer • KML is a simple, interactive setup for end users

  27. Google Earth

  28. Knowledge Distribution • Web-site to distributeall information related to project • Archive of all maps, data, metadata, presentations, etc. • Always available for access by collaborator • Hosted .KML files • http://epa.adamskibbe.com

  29. Explorer

  30. A Collaborative Effort Dr. Shawn Hutchinson Dr. John Blair Dr. Loretta Johnson Countless others ORD Corvallis – Dr. Bob McKane Region 7 – Brenda Groskinsky Bonnie Kwiatkowski Dr. Ed Rastetter Dr. Marc Steiglitz Dr. Feifei Pan

  31. Thanks

  32. Questions

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