Post on 02-Jan-2016
description
IMPROVE OUR ABILITY TO IDENTIFYDESIRED FUTURE CONDITIONS OF BOTHVEGETATION CONDITIONS AND LEVELSOF DISTURBANCE PROCESSES
CAPTURE THE INTERACTION BETWEENVEGETATION PATTERNS AND DISTURBANCEPROCESSES
PROVIDE FOR A QUANTIFICATION OFTHE RANGE OF VARIABILITY FOR BOTHVEGETATION CONDITIONS AND DISTURBANCE PROCESSES
HANDLE DISTURBANCE PROCESSESAS STOCHASTIC EVENTS
CONSIDER THE IMPACT ON DISTURBANCE PROCESSES FROM SPATIAL OPTIONSIN TREATMENTS
INTEGRATE KNOWLEDGE FROM RESEARCH STUDIES,FINE SCALE MODELS AND EXPERT OPINION
Modeling Landscapes with SIMPPLLEfor Decision Support
OBJECTIVES
SYSTEM DESIGN
APPLICATIONS
APPLICATION LOCATIONS
Simulated acres of fire process by treatment scenario over a 50 year period
020000
4000060000
80000100000
120000140000
no treatments alt 1 alt 2 alt 3 alt 4
ac
res
of
fire
srf
msf
lsf
27 %
64 %
24 % 24 %
9 %
66 % 67 %
9 %10 %
27 %
51 %
22 %14 %
26 %
62 %
HISTORIC FIREOVER 500 YEARS
0
10000
20000
30000
40000
50000
0 5 10 15 20 25 30 35 40 45 50
DECADE
AC
RE
S
LSF MSF SRF
SIMulating Patterns and Processes at Landscape scaLEs
TO HELP DESIGN AND EVALUATEMANAGEMENT IN A COLLABRATIVEFASHION WITH AN UNDERSTANDING OF LANDSCAPE DYNAMICS
White spruce
3,237,498 hectares Beaverhead-Deerlodge NF
483,297 hectares
113,196 hectares
Potential old growth conditions under three different fuel treatment levels
Models from thousands ofhectares to millions of hectares
Model time steps in decades, years, and seasons
Models trees, shrubsand grasses
PROJECT PLANNING
WATERSHED ASSESSMENT
Interaction of vegetation, aquatics,landforms, and manmade features
GIS input
Location & Severity of Disturbance Processes
Schedule of Treatments in Time & Space
Step 1: Multiple Simulations of No Action
Step 2: Optimization based on Management Objectives & Constraints
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: Multiple Simulations for Testing Each MAGIS Scenario
SEQUENCE OF USI NG SI MPPLLE (simulation) AND MAGI S (optimization)
FOREST PLAN REVISION
RESOURCE SUITABILITY ANALYSIS
Mixed Conifers
Southern Pines
Jack Pine
Chaparral
Sagebrush & Pinion-Juniper
All vegetation types in Northern Rocky Mountains
Ponderosa Pine & Pinion-Juniper
Grasslands
Mixed Conifers
Hydrologic response modeled by linking SIMPPLLE output to the Precipitation Runoff Modeling System (PRMS), a USGS system.
A SOFTWARE DESIGN THAT PROVIDES FLEXIBILITY TO MODEL IN ONE SYSTEM:
Model with polygons orgrids