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.
Wild waterfowl are known vectors for both low pathogenic avian influenza (LPAI) as well as highly pathogenic avian influenza (HPAI), circulating these viruses across the landscape. As such, understanding how these species alter movements at local scales and across migratory pathways in response to factors such as extreme weather events (i.e., drought, polar vortex, etc.) and changes in the landscape (i.e., urbanization, altered wetland availability) is necessary to predict how they may circulate pathogens under current and future conditions.
USGS research will compare historic and current telemetry datasets with data representing habitat and weather conditions to evaluate how different waterfowl species have responded. These findings will then be used to inform estimates of disease transmission risk to both domestic poultry and other wild bird species that may be adversely impacted or further broaden risk to human health and agricultural production.
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Migratory ducks and protected wetlands in India Migratory ducks and protected wetlands in India
Himalayan thoroughfare: Migratory routes of ducks over the rooftop of the world Himalayan thoroughfare: Migratory routes of ducks over the rooftop of the world
Chewing lice of swan geese (Anser cygnoides): New host-parasite associations Chewing lice of swan geese (Anser cygnoides): New host-parasite associations
Low survival rates of Swan Geese (Anser cygnoides) estimated from neck-collar resighting and telemetry Low survival rates of Swan Geese (Anser cygnoides) estimated from neck-collar resighting and telemetry
Discovering loose group movement patterns from animal trajectories Discovering loose group movement patterns from animal trajectories
A new method for discovering behavior patterns among animal movements A new method for discovering behavior patterns among animal movements
Movement ecology of five Afrotropical waterfowl species from Malawi, Mali and Nigeria Movement ecology of five Afrotropical waterfowl species from Malawi, Mali and Nigeria
Mapping migratory flyways in Asia using dynamic Brownian bridge movement models Mapping migratory flyways in Asia using dynamic Brownian bridge movement models
GPS location history data mining and anomalous detection: the scenario of bar-headed geese migration GPS location history data mining and anomalous detection: the scenario of bar-headed geese migration
The paradox of extreme high-altitude migration in bar-headed geese Anser indicus The paradox of extreme high-altitude migration in bar-headed geese Anser indicus
Discovering shared segments on the migration route of the bar-headed goose by time-based plane-sweeping trajectory clustering Discovering shared segments on the migration route of the bar-headed goose by time-based plane-sweeping trajectory clustering
Tracking the autumn migration of the bar-headed goose (Anser indicus) with satellite telemetry and relationship to environmental conditions Tracking the autumn migration of the bar-headed goose (Anser indicus) with satellite telemetry and relationship to environmental conditions
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.
Wild waterfowl are known vectors for both low pathogenic avian influenza (LPAI) as well as highly pathogenic avian influenza (HPAI), circulating these viruses across the landscape. As such, understanding how these species alter movements at local scales and across migratory pathways in response to factors such as extreme weather events (i.e., drought, polar vortex, etc.) and changes in the landscape (i.e., urbanization, altered wetland availability) is necessary to predict how they may circulate pathogens under current and future conditions.
USGS research will compare historic and current telemetry datasets with data representing habitat and weather conditions to evaluate how different waterfowl species have responded. These findings will then be used to inform estimates of disease transmission risk to both domestic poultry and other wild bird species that may be adversely impacted or further broaden risk to human health and agricultural production.
<< Back to Avian Influenza Research at EESC