Project Title:
Announcement for Proposals and
task statement this proposal is
responding to:
Principal Investigator:
Affiliation:
Address:
Phone:
Email:
Point of Contact:
Federal Cooperator:
Federal Fiscal Representative:
Duration of Project:
Annual Funding Requested:
Total JFSP Funding Requested:
Total Value of In-Kind
Contributions:
Abstract:
Application of the SIMPPLLE landscape simulation system to
facilitate the use of fire ecology knowledge by managers:
Big Thicket National Preserve, Hawaii Volcano National Park
Joint Fire Sciences AFP 2006-3 Task 1, 2, and 3
Dr. Jimmie D. Chew
Rocky Mountain Research Station
800 E. Beckwith, Missoula, Mt 59801
406-542-4171
jchew@fs.fed.us
Dr. Jimmie D. Chew
Rocky Mountain Research Station
800 E. Beckwith, Missoula, MT 59801
Emai: jchew@fs.fed.us
Phone: 406-542-4171
Fax: 406-329-2124
James Saveland, Asst. Dir, RMRS
2150 Centre Ave., Bldg. A, Suite 376
Fort Collins, CO 80526-1891
970.295.5944, jsaveland@fs.fed.us
Judy Perry
Grants and Agreements Specialist, RMRS
240 West Prospect
Fort Collins CO 80526-2098
970.498.2514, japerry@fs.fed.us
4 calendar years (Oct/2006 through Sept/2009); 3 fiscal years
FY2007: $167,980
FY2008: $167,980
FY2009: $180,821
$516,781
$138,280
This proposal addresses AFP 2006-3, Task 1, 2and 3. Understanding past, current and future fire regimes, being
able to quantify historic conditions and use this knowledge to assess the consequences of departures from historic
conditions at a range of spatial and temporal scales are all issues that can be facilitated by the use of a spatially
explicit, dynamic landscape simulation system. Simulation at landscape scales is an approach that can be used to
evaluate the cumulative effects of fuel treatments and a broad range of other land management treatments. The
simulation of disturbance processes and vegetation changes as influenced by different levels of fuel treatments can
provide a basis for evaluating long-term fuels management programs. Simulation is a means to integrate and apply
fire ecology knowledge to specific landscapes that often represent a different mosaic of ecosystems than those on
which the research was performed. SIMPPLLE is a existing spatially explicit landscape simulation system that
models not just fire, but other disturbance processes that interact with fire such as insects and diseases, wildlife
browsing, windthrow, invasive species, and regional climate changes. The level of spatially explicit detail carried
within the system and its analysis capabilities can be utilized to address Tasks1, 2, and 3. The existing modeling
JFSP AFP 2006-3, Page 1 of 15
system with its GIS extensions and Excel spreadsheets will have two additional geographic areas made available.
One will be added for Southeast Texas implementing the fire ecology knowledge for those ecosystems represented
within the Big Thicket National Preserve and a second for tropical ecosystems as represented by Hawaii Volcanoes
National Park. The capabilities demonstrated in this proposal, the ability to build upon existing fire ecology
knowledge, to integrate it with other disturbance processes, and to make it a part of the formulation and assessment
of management planning can be utilized in any geographic area that has been implemented in SIMPPLLE. This
work will further demonstrate the use of SIMPPLLE by managers to address items in Task 1, 2, and 3.
Signature of PI:
12-6-05
Signature of Federal Cooperator:
Signature of Federal Fiscal
Representative:
JFSP AFP 2006-3, Page 2 of 15
I. Introduction
1. Project Justification
Accomplishing the goals in tasks 1, 2 and 3 can be very difficult even when we are working with ecosystems
where there is no shortage of research results. It is often difficult to take research results and apply the
knowledge to different landscape scales and in different mosaics of ecosystems. It is usually difficult to take
our basic research knowledge on ecosystem functioning and incorporate it into land management planning
processes that occur at a range of scales. The use of simulation modeling has value in being able to deliver
research results in a format that meets manager’s needs. The dynamic landscape level simulation system,
SIMPPLLE has a proven track record in playing this role. It is a system that incorporates the knowledge we
have on fire ecology, modeling fires’ interaction with other disturbance processes in spatially unique
landscapes. It is a system that provides managers the ability to build upon the limited research results we
have in many areas.
Managers have available a range of models, but many are limited in their ability to integrate spatially other
disturbance processes with fire. They are often limited in their ability to take into account how the
juxtaposition of different ecosystems can have a significant modifying influence on generalized fire regime
knowledge. Many models are limited in their ability to have the vegetation disturbance processes interact
with land and water components of landscapes and changing regional climatic variables. All of these
components are in SIMPPLLE.
Implementation of fire ecology knowledge into two new geographic areas for SIMPPLLE will provide an
example for ecologists and managers of a means to utilize the existing knowledge we have to address these
three tasks, treating each landscape as a spatially unique mosaic of ecosystems.
2. Project Objectives
The general objective is to provide ecologists and managers the ability to accomplish tasks 1, 2, and 3 for
complex landscapes by having a tool that can integrate the fire ecology knowledge they have with other
disturbance ecology knowledge.
Specific objectives:
1. Implement two new geographic areas in SIMPPLLE, for Southeast Texas by incorporating fire ecology
research results for the ecosystems associated with the Big Thicket National Preserve and a second for
tropical ecosystems associated with the Hawaii Volcanoes National Park.
2. For each area make short term (50 year) simulations with current landscape conditions to quantify current
and future fire regimes, the level of other disturbance processes, and changing vegetation conditions
including the occurrence and spread of invasive species. Different sets of multiple simulations will be made
under changing regional climate variables. Different assumptions on fire suppression can be utilized
3. Make long term (500 to 1000 years) simulations to recreate possible historic conditions to quantify
historic fire regimes and levels of other disturbance processes and variability in vegetation conditions. Assess
the simulated historic conditions as representing desired future conditions. Explore the geographic extent at
which spreading disturbance processes occur in order to maintain the desired future vegetation conditions to
gain an understanding of the spatial extend that fuel and restoration programs need to cover.
4. Compare the differences between the results of the short term and long term simulations using the “builtJFSP AFP 2006-3, Page 3 of 15
in” analysis capabilities of SIMPPLLE to quantify the need / opportunity for ecological restoration programs.
Compare the levels of other disturbance processes between the current, future and historic regimes to identify
the risk associated with other disturbance processes.
5. Make simulations over varying time frames with different levels of fuel treatments (with and without
treatments for other management objectives). The processing of SIMPPLLE output will provide a method of
assessing the cumulative effects of these treatments at landscape scales.
6. Adjust the treatment logic information in SIMPPLLE to reflect the current research on the site specific
changes as a result of the fuel treatments. Simulations will be made to quantify the effectiveness over time
and space to help managers quantify long term fuel management programs.
7. Document the knowledge used for each new geographic area in SIMPPLLE in a Station GTR
8. Make available an updated version of SIMPPLLE that includes the two new geographic areas.
9. Involve fire ecologists and managers of both the Big Thicket National Preserve and the Hawaii Volcanoes
National Park in their own hands-on workshop of making simulations and using them to accomplish Tasks 1,
2, and 3.
10. Produce a peer reviewed paper on the process of using SIMPPLLE on these two very different areas that
have different levels of fire ecology knowledge. An emphasis will be placed on a) that the method used by
managers at these two specific locations to address tasks 1, 2, and 3 can be repeated by other managers within
the two geographic areas where these ecosystems occur, b) the approach can also be immediately utilized in
other geographic areas that already exist in SIMPPLLE, and c) that additional new geographic areas can be
implemented to provide managers in other areas the same capabilities.
3. Background
SIMPPLLE is a dynamic landscape modeling system for projecting the temporal changes in the spatial
distribution of vegetation in the presence and interaction of insects, disease, and wildland fire (Chew and
others 2004). Simulations can be made with or without fire suppression, with or without fuel treatments, and
under average or extreme fire conditions. Spread logic is included for wildland fire and other disturbance
processes. The location and frequencies of disturbance processes quantified from multiple stochastic
simulations provide estimates of the location and probabilities of future disturbance processes. The existing
model, SIMPPLLE, was peer reviewed by the Inventory and Monitoring Institute of the WO, Forest Service
(Lee, 2003) and has a peer reviewed overview publication in the Western Journal of Applied Forestry (Chew
and others, 2004). Its ability to design and test fuel treatments at landscape scales was compared to other
models in a JFS funded model comparison study (98-1-8-06) at eight different locations in the United States.
The version of SIMPPLLE used for all the locations in the study with the test landscapes available as “sample
landscapes” was delivered through the web site for SIMPPLLE:
http://www.fs.fed.us/rm/missoula/4151/SIMPPLLE/index.htm.
SIMPPLE was recently used in the JFS funded Colorado Front Range optimization study (01-1-3-22) and
made available with the addition of a Colorado Front Range geographic area on CDs in a workshop in
Denver on 10/20/06.
With funding from BLM, Forest Service, USGS, Montana State University, and a nonprofit organization
(Ecosystem Management Research Institute) SIMPPLLE is being used for Forest Service broad regional
assessments, National Forest Plan revision, BLM management plan revision, National Forest watershed
assessments, and ecosystem restoration and fuel treatment project planning (Slaughter and others, 2003) for
both BLM and Forest Service. SIMPPLLE along with USGS watershed models is being used by managers in
Mesa Verde National Park in USGS’s FRAME project (Framing Research for Adaptive Management of
JFSP AFP 2006-3, Page 4 of 15
Ecosystems) on the Colorado Plateau.
SIMPPLLE is currently being used by a consulting firm in Missoula, MT., Ecosystem Research Group, to
evaluate Forest Service National Forest plans in Regions 1 and 2.
Within these applications SIMMPPLLE is being used to address those issues identified in Tasks 1, 2 and 3.
However, being management activities, the results very rarely lend themselves to rigorous documentation that
is necessary for publication in a peer reviewed journal. To adequately deliver this approach to ecologists and
managers this study is needed to provide an appropriate level of peer review through publication.
II. Materials and Methods
1. Study Site
Two study sites will be utilized; the Big Thicket National Preserve in Texas and the Hawaii
Volcanoes National Park. Each area represents a unique set of ecosystems with different levels of
ecological knowledge available. The Big Thicket area of east Texas is often referred to as a
“biological crossroads”. It is a transition zone where southeastern swamps, eastern deciduous forest,
central plains, pine savannas, and dry sandhills meet and intermingle. The Big Thicket National
Preserve within this area consists of nine land units and six water corridors encompassing more than
97,000 acres. The Hawaii Volcanoes National Park consists of 330,000 acres with seven ecological
zones extending from sea level to 13,677 feet
2. Sampling Design
Not applicable
3. Methods
The modeling approach taken by SIMPPLLE has been well documented and tested. From the initial proposal
that originated from the Regional Office of Region One in the early 90s, the software design and approach
was successfully defended through a PhD dissertation (Chew 1995) An independent panel review was
conducted by Washington Office, Forest Service, Inventory and Monitoring Institute (Lee and others, 2003).
An overview paper has been published in a peer reviewed journal (Chew and others, 2004). This modeling
system has been designed so that through the user interface it can be implemented in different ecosystem.
This has been tested through a JFS funded model comparison study (98-1-8-06) resulting in the system being
implemented in SC Alaska, Yosemite National Park, Angeles National Forest, Gila National Forest, Central
Utah, and the Lake States. A combination of funding from JFS (01-1-3-22) and the Colorado Front Range
Fuel Partnership provided for the implementation on the Colorado Front Range Ecosystems. USGS has
provided funding for the implementation of the system on the Colorado Plateau and is being used in their
FRAME project (Framing Research for Adaptive Management of Ecosystems) with Mesa Verde National
Park. A nonprofit organization, Ecosystem Management Research Institute has funded the implementation
within grassland ecosystem in South Dakota and Eastern Wyoming and used the system to characterize
historic fire regimes.
JFSP AFP 2006-3, Page 5 of 15
BASIC STEPS FOR IMPLEMENTING A NEW GEOGRAPHIC AREA WITHIN SIMPPLLE
The application of the following steps to the two study sites will be accomplished through the user
interface screens for SIMPPLLE. The incorporation of knowledge for a new geographic area is a part
of the existing modeling system. The steps for the two areas will be done separately.
1. Identify the values to be used for the vegetation descriptors.
The choice is a combination of what is available from common inventories, what level
of descriptors is needed to predict probability of disturbance processes, and what level is
needed to make interpretations for management objectives or ecological functioning.
Three lifeforms are used for the vegetation - trees, shrubs, grasses. The descriptors available for
each lifeform are a dominant species, size-class / structure, and density measure.
3. Identify what disturbance processes affecting vegetation need to be included.
The model includes processes for which the system generates a
probability for each stand, for each time step. This is usually insects, disease, and wildlife
grazing, wildfire, and the occurrence of invasive species. However other processes such as windthrow and
drought that may not have a probability determined can be “locked in” to explore different scenarios.
4. Identify what ecological stratification needs to be used.
As we build the system knowledge through the interface screens it will varies by an ecological
stratification. For example, in the Big Thicket this will probably be the range of ecosystems such as
“Upland-Forest-Pine, Sandhill, Cypress-Tupelo swamp, Floodplain Forests, Pine Savannah Wetlands, MidSlope Oak Pine, etc.”. For the Hawaii Volcanoes it will be their ecological zones of seacoast, lowland, midelevation woodland, rain forest, upland forest, subalpine and alpine.
5. Identify specific management treatments / land uses that need to be included.
The user interface screens will be used to identify the conditions under which treatments can be
applied and the changes they make. These are both fuel treatments and treatments for other
resource objectives and treatments by other land owners.
6. Decide the extent to which “regional climate changes” should influence process probability and the
change as result of disturbance process.
7. Build “succession” pathways.
Successional pathways or the progression of vegetation through size class, structure, and
density for each dominant species in the absence of significant disturbance are organized
by the ecological stratifications. Any combination of permanent growth plot data, stand
level growth models and expert opinion can be used to provide the logic through the user
interface screens.
8. Add the “next state” as a result of each applicable disturbance process to the successional pathways.
9. Complete the logic screens for the probability of each disturbance processes occurring.
This can be developed from any combination of established research or expert opinion. The user
interface screens lets the user choose what variables carried in the system can be used and what the
resulting probability is.
10. Create the rules for “type of fire” and “fire spread logic” in the interface screens.
This can be developed from results of fine scale fire models used on sample stands and / or
expert opinion and built through the user interface.
11. Fill in the regeneration logic screen for each species.
JFSP AFP 2006-3, Page 6 of 15
12. Decide the extent “land units”, “aquatic units”, and “man-made units” should be represented in
SIMPPLLE and what values to use for the variables available in SIMPPLLE to describe them.
Although these landscape components may not be dynamic as the vegetation
component, they often influence vegetation disturbance processes probabilities and their
impact on the vegetation.
13. Decide on specific “reports” and “interpretations” that can be produced
“automatically” by SIMPPLLE.
If reports or interpretations are not done within SIMPPLLE, users can derive them
through processing future vegetation and disturbance maps in a gis environment or
SIMPPLLE output data summarized in customized Excel spreadsheets.
14. Obtain the spatial data sets for both landscapes.
15. Test SIMPPLLE’s behavior at a range of landscape scales for both study sites.
For example the entire Big Thicket Preserve and associated landscape can be represented at one resolution
of vegetation units. Smaller units of the Preserve can be simulated at finer resolutions.
Testing is done by making combinations of short and long term simulations, and single and
multiple simulations to generate a range of outcomes and probabilities. Specific processes can be “lockedin” to test SIMPPLLE’s ability to recreate past disturbance events.
16. On site visit with local ecologists and manager to review the results of step 15 and make any
adjustments in the system knowledge to achieve acceptable model behavior. Examine how well the
simulations help address Tasks 1,2and 3 by making the types of simulations identified in the specific
objectives section.
17. On site training with managers focused on creating data sets, making simulations, managing
output, processing output with GIS extensions and excel spreadsheets macros, applying changes to
system knowledge through the graphical user interface, creating management scenarios for a range of
objectives (reducing fuels, restoring ecosystem functions and maintaining biological diversity) and test
the cumulative effects of these scenarios.
18. Make the version of SIMPPLLE that includes the two new geographic areas available on
SIMPPLLE’s website. Complete documentation of the unique values and system knowledge for the
geographic area in GTRs (general technical report). Complete documentation in a peer reviewed
paper of this process – using an existing simulation system to integrate, test, and evaluate our
knowledge to be able to accomplish tasks 1, 2 and 3.
4. Data Analysis
The output from the SIMPPLLE simulations will be analyzed. The gis extension provides the capability to
map changes in vegetation attributes and disturbance processes. Customized Excel spreadsheet macros
provide for computing and plotting the averages, stand deviations and ranges of both vegetation attributes and
levels of disturbance processes.
The only materials needed for this work is the spatial data.
JFSP AFP 2006-3, Page 7 of 15
III. Project Duration and Timeline
This project will last 3 fiscal years, assuming a start date in October of 2006, with completion in September
of 2009. Although the same steps will not be occurring at the same time on both study sites, the same “set of
steps” is planned for accomplishment for both sites in the same fiscal year.
Year 1 FY 07 (Oct / 2006 – Sept / 2007 )
• Complete steps 1 through 6 of the methods, acquiring ecosystem specific knowledge thought
interaction with fire ecologists and literature review
• Complete steps 7 through 13 of the methods, incorporating the system knowledge into SIMPPLLE
Year 2 FY 08 ( Oct / 2007 – Sept / 2008)
• Complete steps 14 through 15 of the methods, acquire spatial data sets and perform test simulations
Year 3 FY 09(Oct / 2008 - Sept /2009)
• Complete steps 16 through 18 of the methods, on site work with ecologists and managers addressing
tasks 1, 2, and 3. Complete delivery of a new version of SIMPPLLE on web site, complete GTR and
peer reviewed paper.
IV. Project Compliance - NEPA and other clearances.
Not applicable
V. Budget
LABOR
TRAVEL
VEHICLES
Capitalized Equipment:
Materials and Supplies:
Science Delivery and Application:
Other
Total Direct Costs
Indirect Costs: 17.8% - all costs
Total Requested JFSP Funding
139598
1500
44960
1000
500
142598
25382
167980
139598
1500
142598
25382
167980
Contributed
46660
139598
7500
400
1000
2000
3000
46660
46660
153498
27323
180821
46660
1000
500
44960
2009
Requested
Contributed
Requested
Contributed
Budget Item
Requested
Table 1. Proposal Budget Summary for both study sites, FYs 2007, 2008, and 2009
2007
2008
VI. Research Linkage:
Not applicable
JFSP AFP 2006-3, Page 8 of 15
VII. Science Delivery and Application
SIMPPLLE has a proven track record as a vehicle for science delivery and transfer. The Forest Service,
Region One is using it for Forest Plan Revision, watershed assessment and project planning for fuel
treatments and ecosystem restoration. BLM field offices in Montana for are using SIMPPLLE for both
Management Plan Revision and project planning. It is being tested in Mesa Verde National Park within the
context of the FRAMES project funded by USGS. Within all of these applications SIMPPLLE is used to
address those issues associated with Tasks 1, 2 and 3.
A new version of SIMPPLLE that contains all the current geographic areas as well as the two new geographic
areas will be posted on SIMPPLLE’s web site. Technology transfer will be accomplished through the two on
site workshops with the ecologists and managers, steps 16 and 17 of the methods. Publication of the GTRs
and the peer reviewed publication will complete the technology transfer for this effort.
VIII. Deliverables
Table 2. Deliverable, Description and Delivery Dates
Deliverable
Description
Version of
Version of SIMPPLLE that contains two new
SIMPPLLE
geographic areas
GTR
A general technical report that documents the utilization
of research knowledge, the inventory requirements, and
management treatments available for this version of
SIMPPLLE
PUBLICATION
A peer reviewed publication displaying how SIMPPLLE
can be used by managers to integrate research
knowledge to address the issues in task 1,2,and 3
Delivery Dates
March 2009
June 2009
August 2009
IX. Expected Benefits of the Proposal
Managers and ecologists associated with both study sites will have a hands on experience in implementing an
existing simulation system to help them address those issues associated with Tasks 1, 2,and 3. Other
managers and ecologists within these two new geographic areas will have the system available and can
benefit from the documentation of the analysis process used on the study sites as one they could repeat on
other lands. Managers and ecologist outside of these two new areas but within other geographic area that are
represented in SIMPPLLE can repeat the analysis with SIMPPLLE simulations as will be documented in the
peer review paper. The completed proposal would identify the potential benefit of implementing SIMPPLLE
for many other geographic areas where it is currently not available.
X. Qualifications of Investigators
Table 3. Personnel Involved in Project, and their Responsibility
Personnel
Responsibility
Dr. Jimmie D. Chew
Primary investigator
Kirk Moeller
Information specialist for SIMPPLLE,
implements the incorporation of knowledge
specific to the two study sites into SIMPPLLE
JFSP AFP 2006-3, Page 9 of 15
Christine Stalling
Linda Kerr
Curtis Hoagland, chief of resources
Fulton Jeansonne, Fire Management Officer,
Big Thicket National Preserve
GIS specialist (s)
RMRS term position
Rhonda Loh
through the user interface, prepares for
distribution an updated version of SIMPPLLE
that includes the two new geographic areas
Biologist for SIMPPLLE, works with fire
ecologists to get research knowledge into form
to enter into user interface screens, makes
initial test simulations, provides the lead in
producing the GTR and peer reviewed paper
Fire ecologist for Intermountain Region,
National Park Service, identify appropriate fire
ecology research to be used, review simulation
results for acceptable model behavior
Big Thicket National Preserve, identify
management scenarios to simulate, evaluate
output from SIMPPLLE in reference to Tasks
1, 2, and 3
Identify fire ecology research to use, participate
in making simulations, reviewing output for
acceptable model behavior
Study site gis specialist – assist in providing
data layers needed for the analysis and gis
processing of simulation outputs
Provides support for RMRS biologist in
organizing gis data, SIMPPLLE data sets, and
simulation output
Ecologist for vegetation mgt, Hawaii
Volcanoes National Park, Identify fire ecology
research to use, participate in making
simulations, reviewing output for acceptable
model behavior
XI. Literature Cited
Chew, J.D., Stalling, C., Moeller, K. 2004. Integrating knowledge for simulating vegetation change at
landscape scales. Western Journal of Applied Forestry 19(2):102-108
Chew, Jimmie D. 2003. Comparing Two Methods of Identifying Ecological Restoration Opportunities. In
Fire, Fuel Treatments, and Ecological Restoration: Conference Proceedings; 2002 16-18 April; Fort
Collins CO. Omi and Joyce, technical editors. RMRS-P-29
Chew, J.D. 1995. Development of a system for simulating vegetative patterns and processes at
landscape scales. Missoula: University of Montana; 182 p. Ph.D. dissertation.
Lee, Bob. 2003. An evaluation of Landscape Dynamic Simulation Models,
http://www.fs.fed.us/institute/news_info/evaluation_LDSM.pdf
Slaughter, Steve, Laura Ward, Jim Chew, and Rebecca McFarlan. 2003. A Collaborative Fire Hazard
Reduction/Ecosystem Restoration Stewardship Project in a Montana Mixed Ponderosa Pine/DouglasFir/Western Larch Wildland Urban Interface. National Silviculture Proceedings, Granby, Colorado.
September 7-11, 2003
JFSP AFP 2006-3, Page 10 of 15
APPENDIX B – BUDGET DETAIL
LABOR/Chew: 1788/week @ 20weeks for
FY 07, 08, and 09)
LABOR/Moeller:
$1603/week @ 26 weeks for FY 07, 08, and
09)
LABOR/Stalling:
$1280/week @ 39 weeks for FY 07, 08, and
09)
LABOR/RMRS term position:
$1050/week @ 40 weeks for FY 07, 08, and
09)
LABOR/Linda Kerr:
$1800/week @ 2weeks for FY 07, 08, and
09)
LABOR/Big Thicket Resource Manager:
$1700/week @ 1weeks for FY 08 and 09)
LABOR/Big Thicket fire management
officer:
$1300/week @ 2 weeks for FY 07, 08, and
09)
LABOR/ Hawaii Volcano’s ecologists:
$1500/ week @ 2 weeks for FY 07,08,09
LABOR/ 2 study site GIS specialists:
$1000/week @ 6 weeks for FY 07, 08, and
09)
Commercial air travel:
Travel expenses (i.e., meals, lodging):
- Field
- Site Visits
- PI workshop
- Other
Vehicle Rental:
Capitalized Equipment:
- Computers
- software
- other (itemize)
Materials and Supplies:
35760
35760
35760
41678
41678
41678
49920
49920
49920
42000
42000
42000
3600
Contributed
2009
Requested
2008
Contributed
Requested
Contributed
Budget Item
Requested
Table 4. Budget Detail for Both Study Sites, FYs 2007, 2008, and 2009
2007
3600
3600
1700
1700
2600
2600
2600
3000
3000
3000
6000
6000
6000
1000
1000
5000
500
500
2000
500
400
1000
1000
1000
500
500
2000
Science Delivery and Application:
JFSP AFP 2006-3, Page 11 of 15
-
Manuscript Prep/Publication
Costs
Web Page
Software distribution
workshops
Other
Other
- Itemize
142598
Total Direct Costs
Indirect Costs attributable to project (in- 25382
house): 17.8% - of total direct costs (if
applicable)
Pass-through indirect costs: YY% - of
total direct costs (if applicable)
Total Requested JFSP Funding
167980
3000
44960
142598
25382
167980
46660
153498
27323
46660
180821
JFSP AFP 2006-3, Page 12 of 15
APPENDIX C - CURRICULUM VITAE
JIMMIE D. CHEW
Forester, USDA Forest Service, Rocky Mountain Research Station, P.O. Box 8089,
Missoula, MT 59807. Phone: 406-542-4171. Fax: 406-329-2124. Email: jchew@fs.fed.us
Education
BS Forestry, University of Illinois 1967
MF Forest Management, Oregon State University 1968
Ph.D. Applied Ecology, University of Montana, 1995
Professional Experience
1991-present GS-13 Forester RWU-4151
1983-1991 GS-13 Silviculturist, Regional Office, Region One, Forest Service, Missoula MT
1980-1983 GS-12 Planning Team Leader, Nez Perce National Forest, Idaho
1978-1980 GS-11 Timber Management Planner, Nez Perce National Forest, Idaho
1976-1978 District Silviculturist, Elk City District, Nez Perce NF, Idaho
1974-1976 Area Silviculturist, Sitka Area, Tongass National Forest, Sitka, AK
1970-1974 District Silviculturist, Avery Ranger District, St. Joe NF, Idaho
1968-1970 Forester, Sandpoint District, Kaniksu NF, Idaho
Professional Interests and Activities
Current work emphasizes the design, development, and application of spatialy explicit landscape scale
modeling systems to integrate knowledge to simulate the interaction of vegetation, aquatics and landform
components.
Recent Research Funding
Development of a Version of SIMPPLLE for Mesa Verde National Park and the Colorado Plateau. Funding
provided by USGS. $27,000 (2004)
Incorporation of invasive species spread logic developed by researchers at Montana State University into
SIMPPLLE as part of the development of an economic assessment of the impact of invasive species. Funding by
Montana State University. $20,000 (2004)
Development of a version of SIMPPLLE to use in Wyoming and South Dakota Grassland Ecosystems for the
quantification of historic conditions and use in planning sustainable management by a collection of private
landowners. Funding provided by Ecosystem Research Management Institute, a nonprofit organization. $20,000
(2004)
Development and support for the use of SIMPPLLE by BLM’s Montana Field Offices for Management Plan
Revision and project planning. $27,000 (2003 and 2004)
Testing of the use of SIMPPLLE by a range of stateholders (private, state, and federal) in the Swan Valley in
Northwest Montana to facilitate collaborative planning. Funding provided by Washington Office, Forest Service.
$25,000 (2003)
Support for the use of SIMPPLLE in planning a ecosystem restoration and fuels management project, Lolo
National Forest, Ninemile District. $3,000 (2002)
Development and support of SIMPPLLE simulation system for Region One’s use in Forest Plan Revison,
watershed assessments, and project analysis. $50,000/year (2000 through 2004)
Extrapolation of modeling results: identifying represenative landscapes at a drainage level that can be used as
a basis for extrapolating SIMPPLLE and MAGIS results, Bitterroot Ecosystem Management and Research
Program. $20,000 (2001)
A Risk-Based Comparison of Potential Fuels Treatment Tradeoff Models at eight geographic a areas across
JFSP AFP 2006-3, Page 13 of 15
the United States. Pacific Southwest Research Station. $50,000/yr (1998-2002)
A Decision Support System for Spatial Analysis of Fuel Treatment Options and Effects at Landscape Scales,
RMRS-MSO-14, funded R&D study in support of the National Fire Plan. $180,000 (2001 through 2003)
Joint Fire Sciences project directed by Merrill Kaufmann, RWU-4852, Natural Resource Assessment,
Ecology, and Management Science, SIMPPLLE and MAGIS are being used together to prioritize fuel treatments in
a study area in the South Platte watershed. In additional the Front Range Fuel Partnership provided funding to for
development of a version of SIMPPLLE that can be used along the entire Colorado Front Range. $36,000 (2002,
2003) $23,000 (2003)
Selected Publications
Chew, J.D; Stalling, C.; Moeller, K. 2004. Integrating Knowledge for Simulating Vegetation Change at
Landscape Scales. Western Journal of Applied Forestry 19(2): 102-108.
Chew, Jimmie D. 2003. Comparing Two Methods of Identifying Ecological Restoration Opportunities. In
Fire, Fuel Treatments, and Ecological Restoration: Conference Proceedings; 2002 16-18 April; Fort Collins CO.
Omi and Joyce, technical editors. RMRS-P-29
Jones, J.G.; Chew, J. D.; Christianson, N. K.; Silvieus, D. J.; Stewart, C. A. 2000. Stevensville West Central
Study. In: Smith, Helen Y., ed. 2000. The Bitterroot Ecosystem Management Research Project: What We Have
Learned: symposium proceedings; 1999 May 18-20, Missoula, MT. Proc. RMRS-P-17. Odgen, UT: USDA Forest
Service, Rocky Mountain Research Station. p. 83-90.
Jones, J.G. and J.D. Chew. 1999 Applying Simulation and Optimization to Evaluate the Effectiveness of
Fuel Treatments for Different Fuel Conditions at Landscape Scales. In proceeding of the Joint Fire Sciences
Conference and Workshop, June 12-17, 1999, Boise Idaho.
Jones, J. Greg; Chew, Jimmie D; Zuuring, Hans R. 1999. Applying Simulation and Optimization to Plan
Fuel Treatments at Landscape Scales. In Proceeding of the Symposium on Fire Economic Planning, and Policy:
Bottom Lines. 1999 April 5-9 ; San Diego CA; General Technical Report PSW GTR-173. U.S. Department of
Agriculture, Forest Service, Pacific Southwest Research Station 332p.
Chew, J.D. 1997. Simulating Vegetation Patterns and Processes at Landscape Scales. Pages 287-290. a In
Proceedings of Eleventh Annual Symposium on Geographic Information Systems, Integrating Spatial Information
Technologies for Tomorrow. 1997 Feb 17-20; Vancouver, British Columbia, Canada. 640p.
J.G. Jones, J.D. Chew, M.D. Sweet, K.E. Wall, L.A. Weldon, and C.E. Carlson.
1995. Bitterroot Ecosystem Management Research Project (BEMRP): Landscape
Analysis to Support Ecosystem Management. Pages 220-229. In Analysis in
Support of Ecosystem Management. Workshop Proceedings, USDA Forest Service,
Ecosystem Management Analysis Center, Washington D.C. April 10-13,1995. Fort
Collins, CO
Chew, J.D. 1995. Development of a system for simulating vegetative patterns and processes at landscape
scales. Missoula: University of Montana; 182 p. Ph.D. dissertation.
Chew, J.D. 1993. An expert system for the diagnosis of stand treatment needs. AI Applications. Vol. 7, No. 4,
pp 1-11.
Haight, R.G., R.A. Monserud and J.D. Chew. 1992. Optimal harvesting with stand
density targets: Managing Rocky Mountain conifer stands for multiple forest
outputs. Forest Science 38(2): 554-574.
JFSP AFP 2006-3, Page 14 of 15
APPENDIX D – SALARY JUSTIFICATION
Certification to the Joint Fire Science Program
Justification of Need for Salary Support
I hereby certify the attached Justification of Need to provide temporary salaries for full-time permanent
employees Kirk Moeller, GS-11 Information Specialist, and Christine Stalling, GS-11 Biologists, is
necessary and appropriate to enable him/her (them) to fully and directly participate in the proposed project.
Justification: Appropriated funding available to project is not sufficient to cover these two employees full
time.
I understand that salary funding for this/these employee(s) directly involved in the proposed project is
temporary and will not be provided beyond the duration of the proposed project.
Signature____________________________________
Date__11-7-05______________
Name (type or print) __Jimmie D. Chew_________________________
Title
Forester_______Phone Number __406-542-4171_________
JFSP AFP 2006-3, Page 15 of 15