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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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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
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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
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maGIS based SPATIAL analysis GIS coverages used as data input
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Land Management Parameters Management Regimes Prescribed Fire Mechanical Thinning Harvesting at various levels Yarding methods Vegetation Characteristics Successional changes Residual Volume and Growth Mortality
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Transportation Parameters Road Activities Construction (temporary or classified) Reconstruction Decommissioning Traffic routing
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Harvest quantities Acres with specified characteristics Miles with specified characteristics Costs Net Revenues - - - - - Each can be computed by zone, eg. Watershed Effects Functions
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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
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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
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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
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Upper Belt Project Area
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Upper Belt Vegetation by Size Class
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No Action
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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
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Scenario 1 Schedule of Treatments
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Compare No Action & Scenario 1 No Action Scenario 1
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Decade (miles) Road Construction (mmbf) Decade Harvest Volume Decade Vegetation Treatments (acres) Total Cost = $6.2 million (Discounted) Scenario 1 Stats …
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Scenario 2 zSize Class Objectives yMIX = 0 % by decade 5 yPOLE = 15 % by decade 5 ySEEDSAP = 15% by decade 5 yLARGE = 70% by decade 5 zNo Road Construction zMinimize Cost
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Scenario 2 Schedule of Treatments
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Scenario 2 Scenario 1
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Compare No Action & Scenarios No Action Scenario 1 Scenario 2
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(mmbf) Decade Harvest Volume Decade (miles) Road Construction Decade Vegetation Treatments (acres) ($ millions) Total Cost (discounted) Scenario 1 and 2 Stats…
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ExpressPro Target ApplicationProject PlanningWatershed Analysis (5 th code HUC+) ArcGIS InterfacesYesYes Modeling OptionsSimpleFlexible SolverHeuristic (planned)Mathematical Programming Comparing MAGIS Express and Pro…
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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…
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SIMPPLLE MAGIS Express and Pro Vegetative States And Pathways SIMPPLLE or other resource Simulation Models Treatment Schedule Connections with other models…
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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
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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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