Advanced Tools/Technology Development

The Biscayne Bay and Southeastern Everglades Ecosystem Restoration (BBSEER) project will use Bayesian networks developed within the Everglades Vulnerability Analysis framework but with an expanded set of predicted vegetation types to build a spatially explicit model predicting annual probability of vegetation types in response to hydrologic and other landscape factors.

The USGS is collaborating with researchers from other agencies, academia, and industry to predict coastal impacts from hurricanes. The results from this study will better inform coastal morphological change models, which will lead to improved hurricane impact projections.

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.

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.