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Modeling Landscapes with SIMPPLLE for Decision Support. HANDLE DISTURBANCE PROCESSES AS STOCHASTIC EVENTS. CONSIDER THE IMPACT ON DISTURBANCE PROCESSES FROM SPATIAL OPTIONS IN TREATMENTS. PROVIDE FOR A QUANTIFICATION OF THE RANGE OF VARIABILITY FOR BOTH VEGETATION CONDITIONS AND
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Modeling Landscapes with SIMPPLLE for Decision Support HANDLE DISTURBANCE PROCESSES AS STOCHASTIC EVENTS CONSIDER THE IMPACT ON DISTURBANCE PROCESSES FROM SPATIAL OPTIONS IN TREATMENTS PROVIDE FOR A QUANTIFICATION OF THE RANGE OF VARIABILITY FOR BOTH VEGETATION CONDITIONS AND DISTURBANCE PROCESSES CAPTURE THE INTERACTION BETWEEN VEGETATION PATTERNS AND DISTURBANCE PROCESSES SIMulating Patterns and Processes at Landscape scaLEs IMPROVE OUR ABILITY TO IDENTIFY DESIRED FUTURE CONDITIONS OF BOTH VEGETATION CONDITIONS AND LEVELS OF DISTURBANCE PROCESSES INTEGRATE KNOWLEDGE FROM RESEARCH STUDIES, FINE SCALE MODELS AND EXPERT OPINION 3,237,498 hectares Beaverhead-Deerlodge NF 483,297 hectares 113,196 hectares Grasslands All vegetation types in Northern Rocky Mountains Jack Pine Sagebrush & Pinion-Juniper Mixed Conifers Mixed Conifers Chaparral Ponderosa Pine & Pinion-Juniper Southern Pines OBJECTIVES APPLICATIONS Potential old growth conditions under three different fuel treatment levels PROJECT PLANNING RESOURCE SUITABILITY ANALYSIS TO HELP DESIGN AND EVALUATE MANAGEMENT IN A COLLABRATIVE FASHION WITH AN UNDERSTANDING OF LANDSCAPE DYNAMICS FOREST PLAN REVISION WATERSHED ASSESSMENT Hydrologic response modeled by linking SIMPPLLE output to the Precipitation Runoff Modeling System (PRMS), a USGS system. SYSTEM DESIGN APPLICATION LOCATIONS A SOFTWARE DESIGN THAT PROVIDES FLEXIBILITY TO MODEL IN ONE SYSTEM: GIS input White spruce Model with polygons or grids Interaction of vegetation, aquatics, landforms, and manmade features Models trees, shrubs and grasses Model time steps in decades, years, and seasons Models from thousands of hectares to millions of hectares