SOLUTIONS
Purpose-built for your ecological needs
Sample the diversity of ecological applications in SyncroSim
How SyncroSim benefits you
SyncroSim can be used to support just about any model, and is built to serve a wide range of ecological applications, including predicting land cover change, modeling fire risk and species conservation planning. Learn from select use-cases about how SyncroSim can support your specific ecological needs.
Land cover change
Model landscape dynamics of any habitat
From changes in vegetation to land use, build robust models of landscape dynamics to address key management questions across diverse ecosystems, including forests, rangelands, aquatic communities, and urban areas.
Featured package
ST-Sim is the SyncroSim flagship package that enables users to build and run spatially-explicit simulations of landscape change using a state-and-transition-simulation model (STSM) approach. ST-Sim supports:
- Dynamic landscape modeling: Simulate changes across landscapes while accounting for uncertainties in model projections.
- Integrated ecosystem monitoring: Add stock-flow models to track biomass, carbon, and other continuous variables through time and space.
- Versatile applications: Connect with other SyncroSim packages to address a range of research and landscape management questions.
Wildfire risk
Predict wildfire risk, now and into the future
Build dynamic spatial models to estimate and map the probability of wildfires across landscapes, and analyze how it can be impacted by changes in climate, vegetation, and management strategies.
Featured package
BurnP3+ was developed in partnership with the Canadian Forest Service, and allows users to build spatially-explicit fire growth models to estimate wildfire susceptibility and risk across a landscape. BurnP3+ offers:
- Fire behaviour prediction: Combine data on fire location, weather patterns and other burn conditions with a fire growth model to estimate burn probability.
- Fire risk assessment: Compare how different weather conditions and management actions can impact fire risk using a built-in scenario comparison feature.
- Multiple fire growth models: Choose between pre-existing and trusted fire growth models or develop your own for increased flexibility.
Carbon accounting
Integrate forecasts of landscape change and carbon dynamics
Drive more impactful carbon sequestration strategies using simulations of land cover and ecosystem carbon dynamics to forecast how future land management and natural climate solutions will impact greenhouse gas emissions.
Featured package
ST-Sim allows for state-and-transition-simulation models to be combined with carbon stock-and-flow models to simulate the impact of land use and land cover change on ecosystem carbon dynamics. Key features of ST-Sim include:
- Scalable carbon assessments: Generate high-resolution projections of land cover change and carbon balance over varying spatial areas and scales.
- Carbon impact analyses: Evaluate how various land management strategies can affect greenhouse gas emissions using a built-in scenario comparison feature.
- Integration with climate models: Track how changes in land use and climate scenarios impact carbon sequestration over time and space.
Species conservation
Amplify the impact of species conservation
Enhance your conservation efforts by measuring connectivity, analyzing species distributions and simulating demographics of wildlife populations, all under a single platform.
Featured packages
omniscape allows users to run ecological connectivity analysis in SyncroSim based on species movement and habitat preferences, offering:
- Integrated connectivity framework: Connect models of landscape change and habitat suitability to estimate species connectivity.
- Impact assessment: Measure the impact of different conservation and management actions on ecological connectivity.
- Accessible modeling: Leverage SyncroSim to access Omniscape.jl without needing to interact directly with Julia.
WISDM was developed in partnership with the USGS, to enable users to build and view species distribution models (SDM) in a integrated way, offering:
- Unified platform: Automate everything from data preparation and variable reduction to model fitting and visualization within a single software.
- Integrated model comparison: Easily contrast species distributions built using different models, including MaxEnt, GLM and Random Forest.
- Simplified SDM pipeline: Rapidly build complex SDMs without requiring understanding of Java programs like MaxEnt or other machine learning algorithms.
DG-Sim offers a general population modeling framework to analyse and forecast wildlife abundance over time using a stochastic, stage-structured matrix approach. DG-Sim supports:
- Flexible demographic inputs: Model population dynamics based on your choice model inputs, including age- and sex-specific birth, mortality, harvest rates and more.
- Sub-population modeling: Stratify the population, set initial population sizes, define time varying demographic parameters, and take sub-population migration into account.
- Harvest management planning: Measure the effects of alternative future harvest quotas and mortality rates on population while incorporating uncertainty in parameter estimates.
Don't see the package you need?
Explore others
Pick from a range of packages, and connect existing ones to create your custom and reproducible workflow in SyncroSim.
Build your own
Bring your own models and data into SyncroSim, integrating your own scripts or connecting to existing executables and datasets.
Explore more applications of SyncroSim
View all products
Learn how each of the products in the SyncroSim suite can help you achieve your ecological modeling needs.
Find more packages
Pick from a range of packages, connect existing ones to create a custom workflow, or bring your own model into SyncroSim.
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