Ecological Modeling
Ecological Modeling
Filter Total Items: 41
Decision Support Tools for Everglades Ecosystem-Based Management
The USGS Joint Ecosystem Modeling team will work with partners to identify and develop decision support tools for Everglades water management.
Evaluating Population Viability and Habitat Suitability for the Cape Sable Seaside Sparrow Under Future Climate and Management Conditions
WARC will assess Cape Sable seaside sparrow population response and viability under different management and habitat change scenarios. The USGS EverSparrow model will be run on future scenarios, and differences in the predicted probability of presence and the efficacy of varying conservation strategies will be evaluated.
Population Persistence of the Ornate Chorus Frog Across Its Distribution
The ornate chorus frog, once common throughout its range, appears to be experiencing population declines. USGS has partnered with the Florida Fish and Wildlife Conservation Commission to assess the ornate chorus frog population status across its distribution.
Decision Support for Managers Restoring Texas Coastal Marshes with Beneficial Use of Dredged Material
USGS researchers will define the range of elevation targets supporting optimal plant performance and oil strength by identifying the lower and upper thresholds of marsh conversion, and characterize ecosystem development of restored marshes over time to identify the lifetime and sustainability of restored marsh during sea-level rise. This work addresses priority science needs to improve restoration...
Future Aquatic Invaders of the Northeast U.S.: How Climate Change, Human Vectors, and Natural History Could Bring Southern and Western Species North
Researchers will evaluate the potential of aquatic species to invade the Northeast U.S. Following the identification of appropriate target species by regional stakeholders, researchers will gather data from the NAS database and develop models to determine habitat suitability for each species.
Multi-year Burmese Python Vital Rate Research Collaborative in the Greater Everglades
USGS researchers will track juvenile Burmese python within Big Cypress National Preserve (BICY) and collect data on snake growth, habitat use, and causes of mortality. Known-fate models will be used to estimate survival and better understand factors that influence survival.
Ecological Modeling for the Central Everglades Planning Project (CEPP) Operational Plan
The Joint Ecosystem Modeling team will run a suite of 13 ecological models to provide insight into alternative restoration plans' ecological performance, unintended ecological conditions, and potential conflicts with other Comprehensive Everglades Restoration Plan (CERP) goals.
Adding an Aquatic Prey Fish Module within the Everglades Vulnerability Analysis Modeling Framework
The USGS Joint Ecosystem Modeling team will use Bayesian networks to build a spatially explicit Everglades Vulnerability Analysis module based on current knowledge and existing data on fish density and biomass trends on the landscape.
Puget Sound Marine Benthic Index and Graphical Causal Model
USGS scientists are working with partners at the Puget Sound Partnership and the State of Washington’s Department of Ecology to develop two new tools to help us understand how human disturbance affects life at the top of Puget Sound: a Marine Benthic Index and a graphical causal model.
Barriers and Opportunities for Landward Migration of Coastal Wetlands along Texas' Upper and Middle Coast
Researchers at WARC will use data and models to produce probabilistic maps of current and future wetland inundation, coastal wetland extent, and coastal and wetland trangression.
Demographic Analysis of the Endangered Cape Sable Seaside Sparrow
USGS researchers will examine how hydrology and landscape vegetation changes impact Cape Sable Seaside Sparrow survival and population growth.
Comparing EverForecast to the South Florida Water Management District’s Position Analysis
USGS will compare the EverForecast hydrologic forecast, the South Florida Water Management District's Position Analysis, and observed water level recordings from gages located across the Everglades landscape to examine which forecast performs better during the wet and dry seasons; wet, dry, or average years; or in different areas of the Everglades.