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The Use of Long Term Monitoring Data in a Decision Support System Kevin James Plant Ecologist

The Use of Long Term Monitoring Data in a Decision Support System Kevin James Plant Ecologist Heartland I&M Network. Vital Signs Data Life Cycle . Effective communication of results to park managers. Summary of analysis, reporting. Data analysis. Data processing, QA/QC.

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The Use of Long Term Monitoring Data in a Decision Support System Kevin James Plant Ecologist

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  1. The Use of Long Term Monitoring Data in a Decision Support System Kevin James Plant Ecologist Heartland I&M Network

  2. Vital Signs Data Life Cycle Effective communication of results to park managers Summary of analysis, reporting Data analysis Data processing, QA/QC Observations / measurements taken Project research and design

  3. Decision Support System • Knowledge base • Logic model • Logical network of information • Logic model engine • Inference engine • Evaluates the logical network • Evaluation results • Tabular/graphical • Spatially explicit

  4. Knowledge Base • Meta-database • formal logical representation of how to evaluate information • Relationship of interrelated topics • Mental map • Graphic design (modularity) • Diverse topics can be analyzed together

  5. Application Framework Logic Model Result Tables Attributes Knowledge Base Logic Model Engine EMDS (GIS) Project Environment writes read read/write uses EMDS 3.1 Extension ArcGIS

  6. EMDS Development History Ecosystem Management Decision Support January 1994 Initial analysis phase of system development January 1995 Initial design specifications completed March 1997 Release of Version 1.0 September 1997 Beta release of Version 2.0 February 1998 Release of Version 2.0 April 2002 Beta release of Version 3.0 January 2003 Release of Version 3.0 Version 3.0 User Guide (USDA Forest Service GTR, 112 pages)

  7. EMDS Resources and Support ArcGIS Extension www.institute.redlands.edu/emds Current Version: 3.1 for ArcGIS 9.1 Beta 3.2 for ArcGIS 9.2 Version 4.0 in development

  8. NPS Monitoring Program Development and Organization – I&M Networks

  9. Heartland NetworkEstablished 2001

  10. HOME Study Area: restored prairie

  11. Heartland Network Natural Resource Monitoring Program Grassland community Diversity Composition Structure Grassland exotic plants

  12. Heartland Network Vital Sign Management Goals

  13. Goal Evaluation • Current vital signs monitoring data • 2006 vegetation monitoring data • Evaluation parameters are derived from: • Baseline conditions • monitoring data 1998 - 2005 • Management plans • Vegetation Management Plan goals ≤ 5% foliar cover of woody species • Desired future conditions

  14. Heartland Network Natural Resource Goal Evaluation

  15. Heartland Network Natural Resource Goal Evaluation

  16. Logic Model Design

  17. Evaluation of management goal:Prairie community has been restored

  18. Composite Vital Signs Evaluation Prairie community Prairie diversity Prairie composition Prairie structure Prairie exotics

  19. Species diversity is being maintained across the prairie

  20. Species composition supports a functioning prairie

  21. Vegetation structure supports a functioning prairie

  22. Exotic species do not restrict the functioning of the prairie

  23. Where to go now… • Expand to other vital signs monitoring: aquatic, bird communities, climate • Continued development of park management goals • Refinement of evaluation parameters • Adaptive management and planning

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