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M A G I S M ulti-resource A nalysis and G eographic I nformation S ystem Developed by:  Rocky Mountain Research Station  University of Montana.

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Presentation on theme: "M A G I S M ulti-resource A nalysis and G eographic I nformation S ystem Developed by:  Rocky Mountain Research Station  University of Montana."— Presentation transcript:

1 M A G I S M ulti-resource A nalysis and G eographic I nformation S ystem Developed by:  Rocky Mountain Research Station  University of Montana

2 MAGIS Description  Schedules Vegetation Treatments  User-specified Objectives  Access availability  Schedules Road Activites  User-specified Objectives  Access Needs  Solver analyzes vegetation treatments and road activities simultaneously

3 Why do optimization modeling? zLarge problems not easily solvable by ‘back-of-the-hand’ modeling zMost prudent use of public money zCan save thousands of $$ zMost ‘efficient’ solution for veg and network problems zEcosystem benefits balanced with economic benefits

4 maGIS based SPATIAL analysis GIS coverages used as data input

5 Land Management Parameters  Management Regimes  Prescribed Fire  Mechanical Thinning  Harvesting at various levels  Yarding methods  Vegetation Characteristics  Successional changes  Residual Volume and Growth  Mortality

6 Transportation Parameters  Road Activities  Construction (temporary or classified)  Reconstruction  Decommissioning  Traffic routing

7 Harvest quantities Acres with specified characteristics Miles with specified characteristics Costs Net Revenues - - - - - Each can be computed by zone, eg. Watershed Effects Functions

8 MAGIS Input  Pathways from SIMPPLLE (or other)  GIS data (veg polygons, network)  Fixed and Variable road/traffic costs  Growth increment model (percent)  Rules for treatment assignment  Rules for harvest volume  Effects functions parameters  Solution Setup-objective and constraints

9 MAGIS Output (Solution)  Schedule of treatments by polygon  Schedule of road projects by link  Value of each effects function  Map of treatment schedule  Map of road ‘schedule’  Map displays of effects functions, traffic

10 MAGIS in the Planning Process MAGIS Scenarios ID Team Analysis Area Proposed Action Develop Alternatives Compare/Analyze Alternatives Goals and Objectives Priorities and Issues Human Judgment

11 Upper Belt Project Area

12 Upper Belt Vegetation by Size Class

13 No Action

14 Sample Scenario 1  Size Class Objectives  MIX = 0 % by decade 5  POLE = 15 % by decade 5  SEEDSAP = 15% by decade 5  LARGE = 70% by decade 5  Minimize Cost

15 Scenario 1 Schedule of Treatments

16 Compare No Action & Scenario 1 No Action Scenario 1

17 Decade (miles) Road Construction (mmbf) Decade Harvest Volume Decade Vegetation Treatments (acres) Total Cost = $6.2 million (Discounted) Scenario 1 Stats …

18 Scenario 2 zSize Class Objectives yMIX = 0 % by decade 5 yPOLE = 15 % by decade 5 ySEEDSAP = 15% by decade 5 yLARGE = 70% by decade 5 zNo Road Construction zMinimize Cost

19 Scenario 2 Schedule of Treatments

20 Scenario 2 Scenario 1

21 Compare No Action & Scenarios No Action Scenario 1 Scenario 2

22 (mmbf) Decade Harvest Volume Decade (miles) Road Construction Decade Vegetation Treatments (acres) ($ millions) Total Cost (discounted) Scenario 1 and 2 Stats…

23 ExpressPro Target ApplicationProject PlanningWatershed Analysis (5 th code HUC+) ArcGIS InterfacesYesYes Modeling OptionsSimpleFlexible SolverHeuristic (planned)Mathematical Programming Comparing MAGIS Express and Pro…

24 ExpressPro _ Multiple Timber ProductsXX Non-timber outputsX Non-harvest activitiesXX Network Projects/TrafficXX Percent Growth ModelXX State Growth ModelX Fixed Road Cost Lookup TableX Fixed Road Cost by Link (GIS)XX Multiple Traffic TypesXX Traffic Cost Lookup TableX Traffic Cost by Link/Rd OptionXX Comparing MAGIS Express and Pro…

25 SIMPPLLE MAGIS Express and Pro Vegetative States And Pathways SIMPPLLE or other resource Simulation Models Treatment Schedule Connections with other models…

26 Location & Severity of Disturbance Processes Schedule of Treatments in Time & Space Step 1: 20 Simulations of No Action Step 2: Optimization based on Management Objectives & Constraints Modeling Approach SIMPPLLE MAGIS SIMPPLLE Calculated Overall Effects and Economics Step 4: Apply SIMPPLLE treatment-process simulations to MAGIS MAGIS Location & Severity of Disturbance Processes Step 3: 20 Simulations for Each MAGIS Scenario RISK INDEX

27 Availability Information zMAGIS on web: yhttp://www.fs.fed.us/rm/4802/MAGIS zTechnical Support ‘Hotline’ yjsullivan@fs.fed.us y406-542-4185


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