Decision Science and Quantitative Methods

This study provides a comprehensive assessment of the health of streams throughout the Chesapeake Bay. Monitoring data were used to assess seven key indicators of stream condition, revealing consistent patterns of degradation in urban and agricultural areas. The findings offer critical insights that can inform watershed restoration efforts and improve long-term monitoring strategies.

The U.S. Geological Survey Eastern Ecological Science Center (EESC) strives to provide world-class science to inform natural resource decisions that preserve and enhance our quality of life. We work directly with managers of our shared natural resources to provide the unbiased scientific tools, research and innovations needed to make informed decisions in today’s complex and rapidly changing...

Ongoing global outbreaks demonstrate the capacity of highly pathogenic avian influenza virus (HPAIV) to impact poultry, wild birds, and even human health. USGS research is advancing the understanding of the spatial and temporal interface between wild and domestic bird populations from which these viruses emerge to aid biosecurity planning and outbreak response.

The USGS Eastern Ecological Science Center (EESC) is rooted in a proud tradition of service to the nation—advancing science that informs the conservation and management of fish, wildlife, and habitats across the eastern United States and beyond. Our mission is clear: deliver reliable, partner-driven science that supports natural resource decisions today, while ensuring these resources remain...

Hunting is an economic engine for the U.S. and responsible management of these resources directly supports 45.2 billion dollars spent by hunters annually. Conservation and management of hunting resources also contributes substantially to the 394.8 billion dollars spent on all wildlife-related recreation. Hunting traditions are an integral component of our American heritage, with 14.4 million...

Decision analysis is widely used in business applications to improve cost saving and increase efficiency under uncertainty. Scientists at the U.S. Geological Survey Eastern Ecological Science Center (EESC) include world-renowned experts who use data, mathematics, statistics, and computer science to help frame and solve decision problems to support U.S. national security, public health, wildlife...

USGS researchers are collaborating with partners around the globe to leverage new and existing telemetry data to answer broad scale questions about factors influencing avian movement and migration.

USGS researchers are at the forefront of building and maintaining datasets that represent the spatial and temporal patterns in avian influenza virus prevalence in wild birds, which is critical information used to estimate transmission risk to domestic poultry.

USGS researchers are developing novel methods to improve our understanding of waterfowl distributions and abundance across the United States to inform a variety of ongoing disease studies. Understanding the distribution of wild waterfowl is a critical component to assessing avian influenza transmission risks across the landscape.

Due to the rapid decline in abundance of Yellow Lampmussel ( Lampsilis cariosa) and Tidewater Mucket ( Atlanticoncha ochracea), USGS and partners at the U.S. Fish and Wildlife Service (USFWS) and Central Michigan University (CMU) are conducting an assessment of genetic diversity and population structure to inform appropriate recommendations for conservation and management of each species. These...

USGS is working with partners to understand how the federally protected Florida manatee ( Trichechus manatus latirostris) population changes over time and responds to threats.

USGS is helping with the design of a population survey and developing mathematical models to assess potential activities to manage the population of invasive blue catfish ( Ictalurus furcatus) in the Chesapeake Bay. This research will help managers determine the cost and feasibility of approaches to control this invasive species.