Advanced Tools/Technology Development

USGS scientists have developed and optimized python-specific eDNA markers to detect Burmese pythons from water samples taken from the Florida Everglades. This development may aid in the identification of possible waterways used as corridors for northward expansion of this invasive species.

With the support of the Mote Marine Laboratory and Aquarium, USGS researchers will develop and optimize a CRISPR biosensor to detect C. galea eDNA in the field. The development of this tool could assist coral restoration managers and stakeholders to more effectively inform decisions on coral outplant site selection, based on coral predator presence.

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.

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.

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.