The Use of Long Term Monitoring Data in a Decision Support System
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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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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

Observations / measurements taken

Project research and design


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


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


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


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)


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


NPS Monitoring Program Development and Organization – I&M Networks


Heartland NetworkEstablished 2001


HOME Study Area: restored prairie


Heartland Network Natural Resource Monitoring Program

Grassland community

Diversity

Composition

Structure

Grassland exotic plants


Heartland Network Vital Sign Management Goals


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


  • Heartland Network Natural Resource Goal Evaluation


    Heartland Network Natural Resource Goal Evaluation


    Logic Model Design


    Evaluation of management goal:Prairie community has been restored


    Composite Vital Signs Evaluation

    Prairie community

    Prairie diversity

    Prairie composition

    Prairie structure

    Prairie exotics


    Species diversity is being maintained across the prairie


    Species composition supports a functioning prairie


    Vegetation structure supports a functioning prairie


    Exotic species do not restrict the functioning of the prairie


    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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