GeoDesign Knowledge Portal

Multiple-Resource Analysis And Geographic Information System

MAGIS is a spatial Decision Support System for integrating land management and road access issues to develop schedules of treatments and road activities. Land management issues can include treatment focus on fire-fuel hazard reduction, sediment and hydrologic response, wildlife habitat, and economic issues including budget and PNV calculations.

Input Data Format

MAGIS

Accepts Data Of Process Types

MAGIS could be used to address biodiversity issues by including wildlife habitat parameters in management planning scenarios as constraints or drivers for a treatment schedule. It would not be used to determine level or extent of biodiversity, but, if included in vegetation model parameters, could be used to predict diversity based on vegetation and other non-spatial attributes, if 'fed' such a model or relationship.

Input Data Format

Risk-Based Comparison of Potential Fuel Treatment Tradeoff Models [http://www.rfl.psw.fs.fed.us/jfs/]A Decision Support System for Spatial Analysis of Fuel Treatment Options and Effects at Landscape Scales [http://www.fs.fed.us/rm/missoula/4802/dssmagis.html]Chew, J.D.; O'Hara, K.; Jones, J.G. 2000. Overview of developing desired conditions short-term actions - long-term objectives. In: Friedman, S.T.; Graham, R. comp. In: Proceedings from the National Silviculture Workshop. October 5-7, 1999, Kalispell, MT. Proc. RMRS-P-000. Odgen, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.Zuuring, Hans R.; Chew, Jimmie D.; Jones, J. Greg. 2000. Sequential use of simulation and optimization in analysis and planning. In: Smith, Helen Y., ed. The Bitterroot Ecosystem Management Research Project: What we have learned: Symposium Proceedings, May 18-20, 1999, Missoula, MT. Proc. RMRS-P-17. Odgen, UT: USDA Forest Service, Rocky Mountain Research Station. p. 97-103.Zuuring, Hans R.; Jones, J. Greg; Chew, Jimmie D. 2000. Applying simulation and optimization to address forest health issues at landscape scales. In: Seventh Symposium of Systems Analysis in Forest Resources. Bellaire, MI. May 28-31, 1997. Gen. Tech. Rep. NC-205, St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station. p. 1-6.Barrett, T.M.; Jones, J.G.; Wakimoto, R.H. 1999. Adapting forest planning decision support systems for prescribed fire treatments. In: Neuenschwander, L.F; Ryan, K.C; Gollberg, G.E. ed. In: Proceedings from the Joint Fire Science Conference and Workshop, "Crossing the milennium: Integrating spatial technologics and ecological principles for a new age in fire management." Vol. I; Boise, ID. June 15-17, 1999. The University of Idaho and the International Association of Wildland Fire. p. 12-17.Jones, J.G.; Chew, J.D. 1999. Applying simulation and optimization to evaluate the effectiveness of fuel treatments for different fuel conditions at landscape scales. In: Neuenschwander, L.F; Ryan, K.C; Gollberg, G.E. ed. In: Proceedings from the Joint Fire Science Conference and Workshop, "Crossing the milennium: Integrating spatial technologics and ecological principles for a new age in fire management." Vol. II, Boise, ID. June 15-17, 1999. The University of Idaho and the International Association of Wildland Fire. p. 89-96.Jones, G.; Chew, J.; Zuuring, H. 1999. Applying simulation and optimization to plan fuel treatment at landscape scales. In: Gonzalez-Caban, A.; Omi, P.N.; Tech. Coordinators. In: Proceedings of the Symposium on Fire Economics, Planning and Policy: Bottom Lines. April 5-9, 1999. San Diego, CA. Gen. Tech. Rep. PSW-GTR-173. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station. p. 229-236. Weise, David R.; Kimberlin, Richard; Arbaugh, Michael; Chew, Jim; Jones, Greg; Merzenich, Jim; Van Wagendonk, Jan W.; Wiitala, Marc. 1999. A risk-based comparison of potential fuel treatment trade-off models. In: Neuenschwander, L.F; Ryan, K.C; Gollberg, G.E. ed. In: Proceedings from the Joint Fire Science Conference and Workshop, "Crossing the milennium: Integrating spatial technologics and ecological principles for a new age in fire management." Vol. II, Boise, ID. June 15-17, 1999. The University of Idaho and the International Association of Wildland Fire. p. 96-102.Pfister, R.D.; Jones, J. Greg. 1998. Landscape assessment in the Bitterroot Ecosystem Management Research Project. In: Proceedings of the Society of American Foresters 1998 National Convention, Traverse City, MI. September 19-23, 1998. Society of American Foresters, 5400 Grosvenor Lane, Bethesda, MD. p. 211-218.Jones, J.G.; Chew, J.D.; Sweet, M.D.; Wall, K.E.; Weldon, L.A.; Carlson, C.E. 1995. Bitterroot Ecosystem Management Research Project: Landscape analysis to support ecosystem management. In: Proceedings of Analysis in Support of Ecosystem Management, USDA Forest Service, Ecosystem Management Analysis Center, Fort Collins, CO. April 10-13, 1995. p. 220-229.Zuuring, H.R.; Wood, W.L.; Jones, J.G. 1995. Overview of MAGIS: A multi-resource analysis and geographic information system. Res. Note INT-RN-427. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 6 p.Weintraub, Andres; Jones, Greg; Magendzo, Adrian; Meacham, Mary; Kirby, Malcolm. 1994. A heuristic system to solve mixed integer forest planning models. Operations Res. 42: 1010-1024.Jones, J. Greg; Bower, Fred. 1991. Providing for elk security cover in site-specific timber harvest planning models. In: Proceedings of a Symposium on Elk Vulnerability, Montana Chapter of the Wildlife Society, Montana State University, Bozeman, MT. April 10-12, 1991. p. 229-235.Jones, J. Greg; Meneghin, Bruce J.; Kirby, Malcolm W. 1991. Formulating adjacency constraints in linear optimization models for scheduling projects in tactical planning. Forest Science 37: 1283-1297. Jones, J. Greg; Weintraub, Andres; Meacham, Mary L.; Magendzo, Adrian. 1991. A heuristic process for solving mixed-integer land management and transportation planning models. Res. Pap. INT-447. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 39 p.Jones, J.G.; Meacham, M.L.; Weintraub, A.; Magendzo, A. 1991. A heuristic process for solving large-scale, mixed-integer mathematical programming models for site-specific timber harvest and transportation planning. In: Proceedings of the 1991 Symposium on Systems Analysis in Forest Resources. March 3-7, 1991. Charleston, SC: Society of American Foresters. Gen. Tech. Rep. SE-74. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station. p. 192-198.Meneghin, B.J.; Kirby, M.W.; Jones, J.G. 1988. An algorithm for writing adjacency constraints efficiently in linear programming models. In: The 1988 Symposium on Systems Analysis in Forest Resources. Gen. Tech. Report RM-161. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station. p. 46-53. Jones, J. G.; Hyde, James F.C. III; Meacham, Mary L. 1986. Four analytical approaches for integrating land management and transportation planning on forest lands. Res. Paper INT-361. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 33 p.Chew, J., Jones, J. G., Stalling, C., Sullivan, J., Slack, S. Combining simulation and optimization for evaluating the effectiveness of fuel treatments for four different fuel conditions at landscape scales. pp. 35-36 In: Arthaud, G.J. and T.M. Barrett (technical compilers). 2003. Systems Analysis in Forest Resources: Proceedings of the Eighth Symposium, held September 27-30, 2000, Snowmass Village, Colorado, U.S.A. Volume 7 of the Managing Forest Ecosystems series. Dordrecht: Kluwer Academic Publishers. 326 p.Sullivan, J. , Jones, G. J., Troutwine, J., Krueger, K., Zuuring, H., Meneghin, B. MAGIS eXpress: Spatial Modeling for Timber and Access Planning. In: Bevers, Michael; Barrett, Tara M., comps. 2004. Systems Analysis in Forest Resources: Proceedings of the 2003 Symposium; October 7-9, Stevenson, WA. Proceedings RMRS-P-000. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.~

Accepts Data Of Process Types

http://www.fs.fed.us/rm/econ/magis (No Longer Available)

Domain Knowledge Modeling Area

Biodiversity Conservation

Fish And Wildlife Management

Silviculture

Timber Harvesting

Transportation Planning

Domain Knowledge Modeling Area

Schedule

Overview

Decision Modeling

Forest Fuel Modeling

Habitat Suitability

Landscape Analysis And Modeling

Management Process Modeling

Socioeconomic System Modeling

Transportation Modeling

Vegetation Management

Systems Functional Components

Alternative Generation

Domain Knowledge Process Model Development

Impact Analysis

Rank Alternatives

Risk Analysis

Specify Criterion Weight

Visualization

Analysis Extent

Optimization Methods

Trade-Off Analysis

For Application Domains

Data Management

GIS Analysis Integration

GIS Display Integration

Report Generation

Visualization

Can Calculate Effects

Biophysical Process

Economic Process

Management Process

Social Process

User Defined Process

Contact Person

Arcinfo Coverage

ESRI Shapefile

Analysis Unit

Map Image

Table

Glossary Display Property

All (User Defined Analysis Extent)

Regional Extent

Subregional Extent

Parent Categories

All (User Defined Unit Of Observation)

Patch

Sdsstool:Supportsmultispatialscaleanalysis

true

Domain Knowledge Modeling Area

Forest Age Classes Or Successional Stages

Forest Management Classes

Forest Types

Output Type

true

Indicators Used

Windows 2000

Windows 95/98

Windows NT

Windows XP

Indicators Used

Arcgis

Mathematical Solver

Planning And Decision Process Phases/Steps Served

Installed ArcGIS. ArcGIS polygon coverage or shapefile attributed with vegetation data and any additional nonspatial attributes for user-defined relationships. There could be two separate coverages--vegetative stands and management 'treatment' units, if desired. ArcGIS road network coverage or shapefile (containing proposed roads if any). The road coverage is optional. ~Vegetation model (pathways and states). Treatment options, including costs, and rules for 'assignment' to treatment polygons (including vegetation and spatially oriented management considerations). ~User-defined Relationships (Effects Functions) to determine values calculated by the model. ~Modeling system uses commercial mathematical programming software to generate solutions to planning problems (MPSIII/pc, a commercial mathematical optimization package).

Planning And Decision Process Phases/Steps Served

Some Scientific Background

Planning And Decision Process Phases/Steps Served

Some Computer/GIS Programming Skills

Planning And Decision Process Phases/Steps Served

true

Platform

false

Planning And Decision Process Phases/Steps Served

Free

Accepts Data Of Process Types

Prototype Being Applied

Platform

Rocky Mountain Research Station

Accepts Data Of Process Types

National Commission On Science For Sustainable Forestry

Cost

Janet Sullivan

Decision Problem Types Targeted

Software Tools And Models - All

Spatial Decision Support Systems

Description Of System Components

6/5/2008

Decision Process Activity Types Served

Alternative Ranking, Decision Making

Condition Analysis And Assessment

Decision Alternatives Generation, Scenario Simulation

Domain Knowledge Modeling

Visualization

URL

Decision Model

Evaluative Models

Model Type

Spatial Decision Support Systems

Scientific Expertise Level Required

Timber Harvest Process

Graphical Ontology Browser

  • Click on a node to jump to the content of that node
  • Pan to see the rest of the graph
  • Scroll the mousewheel up and down to zoom in and out
  • Rearrange the nodes in the graph by dragging a node to a different position

References

IntroductionGeodesign Problem TypesPlanning/Decision ContextPlanning And Spatial Decision ProcessMethods And Techniques
methods and techniques; methodology
TechnologyData And Domain KnowledgePeople And ParticipationGeodesign Resources