Statistical Analysis
Statistical Analysis
Filter Total Items: 36
Using monitoring data to measure conditions over time in Chesapeake Bay streams
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.
Advancing Risk Modeling for Highly Pathogenic Avian Influenza
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.
Key Values of a Century of EESC Science
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...
EESC Makes an Impact: Preserving our Hunting Resources
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...
EESC Makes an Impact: Reducing Management Costs and Increasing Efficiency
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...
Avian Influenza Host Movement Ecology
Understanding disease systems requires an understanding of the basic ecology of host species. USGS is involved in global efforts to explore the movements of bird species that are hosts of avian influenza as well as the potential impacts of changing landscapes on avian influenza.
Using Global Telemetry to Understand Avian Movement and Migration
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.
Avian Influenza Spread, Prevalence and Persistence
USGS researchers seek to understand the factors influencing the spread and persistence of avian influenza viruses on the landscape. This research also addresses how novel strains of highly pathogenic avian influenza are impacting a larger number and diversity of host species, including waterfowl, shorebirds, raptors and other birds.
Identifying Spatial and Temporal Trends in Avian Influenza Prevalence in Wild Waterfowl Across the United States
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.
Deriving Spatial and Temporal Waterfowl Inputs for Disease Risk Modeling
USGS is creating spatially and temporally explicit inputs to improve avian influenza transmission risk modeling. This project places special emphasis on wild bird distribution and abundance models as well as avian influenza prevalence models.
Developing Waterfowl Distribution and Abundance Models to Inform Avian Influenza Transmission Risk
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.
Genomics to Aid Conservation and restoration of the Yellow Lampmussel (Lampsilis cariosa) and Tidewater Mucket (Atlanticoncha ochracea)
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...