What this opportunity is
The Department of the Interior is seeking a contractor to enhance the Land Use and Carbon Scenario Simulator (LUCAS), which models the effects of land use and land cover changes on wildfire risk and fuel loading. This opportunity is suited for small businesses with expertise in ecological modeling and software development, particularly those familiar with the SyncroSim/ST-Sim framework. As this is a Special Notice, interested parties should track the opportunity for further details rather than submitting bids at this stage.
Analysis by Mindy, grounded in the SAM.gov notice.
Description
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Statement of Work
Introduction
Understanding the eƯects of land use and land cover (LULC) change and ecosystem
disturbances on wildfire vulnerability and fuel loading is a critical requirement for national
safety and resource management. Modeling how changes in vegetation and land
management influence fire behavior is a priority goal identified for the USGS Ecosystems
Mission Area. The USGS has previously developed methodologies to quantify past and
current LULC change and project future scenarios, linking these data with ecological
models to estimate how "fuels"—represented by biomass and carbon stocks—accumulate
and interact with natural disturbances over space and time.
While initial assessments provided a foundation for understanding landscape change,
significant technical gaps remain regarding the integrated linkage between LULC dynamics
and wildfire risk. Specifically, there is a need for an integrated, easy-to-use, open-source
model that emphasizes the spatial and temporal variability of fuel loads and the resulting
fire consequences. Through a collaboration between a contractor and USGS, a proof-of-
concept model was developed: the Land Use and Carbon Scenario Simulator (LUCAS).
Built upon the SyncroSim/ST-Sim state-and-transition simulation modeling framework,
this tool was designed to produce reliable estimates of changes in LULC and the
associated biomass (carbon) stocks that serve as primary fire fuels.
The next phase of this eƯort involves refining the model to better simulate fire regimes, fuel
transitions, and the impact of various land-management strategies on fire risk. This
includes structural improvements to how the model treats biomass accumulation and
decay, enhancements to fire-spread visualization, and the ability to run high-resolution
simulations in high-performance computing environments.
The USGS seeks to continue the development of this model to track land-based fuels and
fire risk across the conterminous U.S. This contract supports the development of
operational and scientific improvements to the model, focusing on its ability to project how
natural and anthropogenic processes—including climate change, urbanization, and land
management—alter the wildfire landscape.
As specified in this contract, the Contractor will design and complete enhancements to the
ST-Sim software as requested and approved by the USGS Point-of-Contact to support
these wildfire and land-use objectives.
Deliverables
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Anticipated deliverables are divided into two categories and will be specifically defined as
individual tasks:
A. General Technical Support Provide technical support to the USGS in the use,
application, and customization of the SyncroSim/ST-Sim software module. This includes:
• Assisting in the configuration and parameterization of fuel load variables and fire
transition probabilities.
• Calculating and processing external data (e.g., remote sensing vegetation data) to
provide input model parameters.
• Developing post-processing analytical tools to translate model outputs into fire-risk
maps and hazard assessments.
• Collaborating on scientific meetings, publications, and reports regarding LULC-
driven fire dynamics.
B. Software Enhancements Provide software enhancements to the SyncroSim/ST-Sim
application to support ongoing program requirements. This includes:
• Adding new features to simulate complex fire-regime interactions and fuel
treatment eƯectiveness.
• Modifying underlying code to improve the scaling of large-area wildfire simulations.
• Updating documentation and training materials to reflect new wildfire-centric
modeling capabilities.
• Ensuring ongoing compatibility of the software with current USGS data standards
and high-performance computing requirements.
Performance Assessment Plan / Monitoring Methods
Description /
Desired Outcome
Performance Standard Monitoring Method
Timeliness –
scheduled
deliverables
Deliverables submitted by dates
specified in each Task Order.
Review of deliverable
submission dates against
Task Order schedule at
each progress meeting.
Timeliness –
technical support
responses
Written or verbal responses to
USGS technical inquiries
provided within 3 business days,
Technical Liaison tracks
response times on an
ongoing basis; flagged if
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unless a longer timeline is
mutually agreed.
pattern of late responses
emerges.
Timeliness – at-risk
milestones
If a milestone is at risk,
Contractor notifies USGS
Technical Liaison and
Contracting Officer in writing at
least 10 business days in
advance with explanation and
revised schedule.
Technical Liaison evaluates
whether advance notice
was provided and revised
schedule is reasonable.
Software delivery –
repository-based
(e.g., LUCAS, WISDM)
Functional release or tagged
commit delivered to designated
public repository, with written
Technical Liaison notification
upon release.
Technical Liaison confirms
release availability in
repository and reviews
release notes.
Software delivery –
direct scripts and
data
Task-specific scripts and data
files delivered in agreed formats,
with documentation sufficient for
a qualified USGS scientist to
understand and run the
materials.
Technical Liaison reviews
delivered files for
completeness against Task
Order SOW.
Software delivery –
SyncroSim platform
updates
Functional software release
incorporating specified
enhancements is made available,
with written Technical Liaison
notification and updated
documentation.
Technical Liaison installs
release and confirms
specified features are
functional as described in
Task Order SOW.
Internal review prior
to delivery
Contractor confirms in writing
that all deliverables have been
internally reviewed prior to
submission.
Written confirmation
reviewed by Technical
Liaison as part of
acceptance process.
Quantitative
performance targets
(where applicable)
Where Task Order specifies
quantitative targets (e.g., model
calibration thresholds,
processing speed benchm…
Source: SAM.gov, as posted. Verify the current solicitation before responding.