Advanced Tools/Technology Development

The USGS Utah Water Science Center and the State of Utah collaborated with WARC's Advanced Applications Team to build a data driven, interactive web application to provide groundwater conditions for Utah.

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.

The Federal Government was charged with ensuring a reliable supply of critical minerals from within the U.S., and to further this policy in a safe and environmentally responsible manner by identifying new sources of critical elements. The objective of this research is to delineate anticipated adverse outcome pathways for the critical elements.

WARC researchers partnered with Gulf Sturgeon decision makers and biologists to develop a Bayesian network model that uses habitat characteristics to predict the quantity of juvenile winter foraging habitat under alternative river discharge and timing of juvenile arrival scenarios.

WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in the northern Gulf of Mexico.

WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of breeding pairs of Black Skimmer and Gull-billed Tern along the northern Gulf of Mexico.

WARC researchers partnered with beach mice managers and biologists to estimate habitat objectives and the amount of effort needed to achieve the habitat objective (i.e., management efficiency) for three beach mice subspecies in Florida’s panhandle.

WARC scientists are testing and developing methods for the isolation of cervid exosomes from blood samples, followed by microRNA extraction and next generation sequencing.

Researchers will develop and optimize an eDNA assay to delineate the current distribution of P. inflatus. The assay will then be used to provide up-to-date distributional information and detection rates for P. inflatus in the Pearl River basin.

USGS scientists are using a spatially-explicit Bayesian network model to predict the difference between energetic value and energetic demand for stopover habitats for migrating landbirds.

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.

USGS WARC computer scientists designed, developed, and deployed a suite of web applications to assist the State of Alabama with restoration measure options of Dauphin Island.