Stephanie Romañach, Ph.D.
Stephanie uses a combination of field observations and predictive ecological models to explore the impacts of climate change and ecosystem restoration on wildlife.
Stephanie leads Joint Ecosystem Modeling (JEM), focused on developing predictive ecological models and decision support tools that help decision makers explore potential ecological impacts from ecosystem restoration and climate change. In addition to her work on Everglades restoration and conservation planning in Florida, she also works on natural resources conservation in Africa and Asia.
Science and Products
Filter Total Items: 35
Ecological Model Support for the Biscayne Bay and Southeastern Everglades Restoration Project
The Joint Ecosystem Modeling team will provide model output for a suite of ecological models to aid in restoration decision planning for the Biscayne Bay and Southeastern Everglades Restoration Project.
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.
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.
Engaging Indigenous Communities to Co-Design a Real-time Monitoring Application to Protect their Socio-Cultural and Ecological Areas
Everglades tree islands are traditional homes of the Miccosukee and Seminole Tribes and contain their ancestral remains, but no monitoring tool exists for water managers to protect sites from destructive flooding. We propose stakeholder workshops to codesign a monitoring application with the Tribes.
Knowledge Synthesis of Cape Sable Seaside Sparrow Science
WARC researchers have developed a literature review of science on the Cape Sable Seaside Sparrow focused on topics relevant to upcoming management decisions.
Ecological Modeling in Support of the Lake Okeechobee Water Management
The Joint Ecosystem Modeling team will be running a suite of ecological models to evaluate scenarios and provide insight into how alternative restorations plans compare, indicate whether alternatives could lead to unintended consequences, and determine effects of alternatives that could conflict with other goals.
Integrating Sea Level Rise Scenarios into Everglades Restoration Planning
One of the largest and most expensive restoration efforts in the world is the restoration of the Everglades, a sub-tropical freshwater wetland system located in southern Florida. This unique ecosystem supports several endemic and endangered species, provides flood control for Florida’s large urban population, and provides water for both the agricultural and drinking supply within the state. The Co
Enhancing Cross-Jurisdictional Adaptive Management in the Gulf of Mexico
Using an iterative qualitative coding process, WARC researchers are identifying objectives, stressors, and management priorities to support the implementation of adaptive management in restoration programs across the Gulf of Mexico.
Everglades Depth Estimation Network (EDEN)
In the early 2000s, USGS developed the Everglades Depth Estimation Network (EDEN) to provide water-level data for scientists, decision-makers, and managers to help monitor and assess Everglades restoration. EDEN is a real-time integrated network of 275 water-level gages, water-surface models, and applications that provides 400 x 400 meter gridded daily water-level data across the freshwater part...
NexView: Empowering decision makers to assess the impacts of development on social-ecological systems in the Lower Mekong River Basin by increasing access with integrated and visualized data, models, and decision making tools
The NexView integrated decision framework will facilitate informed discussions and decisions by enabling policy makers to manipulate and explore multiple decision scenarios and understand the impacts of these decision alternatives before decisions are made.
Science and Products
Filter Total Items: 35
Ecological Model Support for the Biscayne Bay and Southeastern Everglades Restoration Project
The Joint Ecosystem Modeling team will provide model output for a suite of ecological models to aid in restoration decision planning for the Biscayne Bay and Southeastern Everglades Restoration Project.
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.
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.
Engaging Indigenous Communities to Co-Design a Real-time Monitoring Application to Protect their Socio-Cultural and Ecological Areas
Everglades tree islands are traditional homes of the Miccosukee and Seminole Tribes and contain their ancestral remains, but no monitoring tool exists for water managers to protect sites from destructive flooding. We propose stakeholder workshops to codesign a monitoring application with the Tribes.
Knowledge Synthesis of Cape Sable Seaside Sparrow Science
WARC researchers have developed a literature review of science on the Cape Sable Seaside Sparrow focused on topics relevant to upcoming management decisions.
Ecological Modeling in Support of the Lake Okeechobee Water Management
The Joint Ecosystem Modeling team will be running a suite of ecological models to evaluate scenarios and provide insight into how alternative restorations plans compare, indicate whether alternatives could lead to unintended consequences, and determine effects of alternatives that could conflict with other goals.
Integrating Sea Level Rise Scenarios into Everglades Restoration Planning
One of the largest and most expensive restoration efforts in the world is the restoration of the Everglades, a sub-tropical freshwater wetland system located in southern Florida. This unique ecosystem supports several endemic and endangered species, provides flood control for Florida’s large urban population, and provides water for both the agricultural and drinking supply within the state. The Co
Enhancing Cross-Jurisdictional Adaptive Management in the Gulf of Mexico
Using an iterative qualitative coding process, WARC researchers are identifying objectives, stressors, and management priorities to support the implementation of adaptive management in restoration programs across the Gulf of Mexico.
Everglades Depth Estimation Network (EDEN)
In the early 2000s, USGS developed the Everglades Depth Estimation Network (EDEN) to provide water-level data for scientists, decision-makers, and managers to help monitor and assess Everglades restoration. EDEN is a real-time integrated network of 275 water-level gages, water-surface models, and applications that provides 400 x 400 meter gridded daily water-level data across the freshwater part...
NexView: Empowering decision makers to assess the impacts of development on social-ecological systems in the Lower Mekong River Basin by increasing access with integrated and visualized data, models, and decision making tools
The NexView integrated decision framework will facilitate informed discussions and decisions by enabling policy makers to manipulate and explore multiple decision scenarios and understand the impacts of these decision alternatives before decisions are made.