Advanced Tools/Technology Development
Advanced Tools/Technology Development
Filter Total Items: 52
Defining Native Ranges of U.S. Inland Fishes
Understanding the native versus non-native range of a species can provide useful information about dispersal, population distribution patterns, and human mediated movement across hydrologic barriers. The USGS Nonindigenous Aquatic Species (NAS) Program is working with partners to define native ranges of inland fishes in the United States to help identify which species should be included in the NAS...
The Nonindigenous Aquatic Species Flood and Storm Tracker (FaST)
Storm-related flooding can lead to the potential spread of nonindigenous (or non-native) aquatic species into waterways they have not been seen in before. The USGS Nonindigenous Aquatic Species program has developed an innovative mapping tool to help natural resource managers with post-storm nonindigenous aquatic species detection and assessment efforts.
A Structured Decision-Making Framework for Controlling, Monitoring, and Containment of Invasive Species through Trapping: An Application to the Argentine Black and White Tegu
USGS is applying decision analysis to identify cost-effective methods for controlling invasive species like the Argentine black and white tegu.
Climate Change Adaptation for Coastal National Wildlife Refuges
National Wildlife Refuges provide habitat for important fish and wildlife species and services that benefit coastal communities, like storm-surge protection. USGS scientists are helping coastal refuges plan for and adapt to sea-level rise.
Development of a Quantitative Risk Assessment Tool to Predict Invasiveness of Non-native Freshwater Fishes in Everglades National Park
The introduction of non-native fishes is a problem across the United States, particularly in Florida. USGS scientists are developing a decision support tool to help natural resourece managers prioritize which species to focus prevention, detection, rapid response, and control efforts.
Habitat Modeling for the Endangered Everglades Snail Kite and Its Prey
Joint Ecosystem Modeling (JEM) provides real-time habitat suitability models for species of interest in Everglades restoration planning, including the federally endangered Everglades snail kite.
Joint Ecosystem Modeling: Cape Sable Seaside Sparrow Helper
The Sparrow Helper tool allows for the evaluation of water management scenarios by generating, plotting, and mapping hydrologic metrics across a range of time scales to predict impacts of proposed water depth changes to sparrow subpopulations.
Quantitative Analysis Using Structural Equation Modeling
USGS scientists have been involved for a number of years in the development and use of Structural Equation Modeling (SEM). This methodology represents an approach to statistical modeling that focuses on the study of complex cause-effect hypotheses about the mechanisms operating in systems. SEM is increasingly used in ecological and environmental studies and this site seeks to provide educational...
Statistical Models for the Design and Analysis of Environmental DNA (eDNA) Surveys of Invasive and Imperiled Species
Detecting invasive species at low densities or prior to population establishment is critical for successful control and eradication. For example, Burmese pythons occupy thousands of square kilometers of mostly inaccessible habitats.
Promoting USGS Research on Environmental Impacts of a Major Storm – Hurricane Sandy
Support tasks performed by the WARC Advanced Applications Team for Hurricane Sandy-related projects include aerial imagery capture and processing, standards-compliant data formatting and transformation, metadata creation, and visualization of data in a spatial context.
Joint Ecosystem Modeling: Greater Everglades Modeling Decision Support Tools
The Joint Ecosystem Modeling team is developing and applying ecological models and other decision support tools for Greater Everglades restoration project planning.
Advanced Technological Solutions in Support of Greater Everglades Priority Ecosystem Science: Joint Ecosystem Modeling (JEM)
The JEM Biological Database offers secure data storage in relational databases, as well as web applications to manage, search, analyze, and report on captured data.