Raptors, or birds of prey, are often used to indicate the state of an ecosystem, and monitoring their populations can help us to understand ecosystem processes. Raptors are particularly good animals for monitoring because they are big and therefore charismatic and easy to observe. Whether we’re monitoring nesting biology and reproductive output, counting individuals on roads, or setting up trail cameras in the woods, our team engages in science that is important to ecological well-being and to society.
Non-invasive Genetic Analysis
Our team uses non-invasive monitoring techniques to gather information on poorly known raptor demographic parameters like survivorship, population size, and rates of immigration and emigration. Traditionally, this was done with capture and recapture of individuals, an approach that requires exceptional effort for relatively poor return. However, in the last decade, genetic analysis of non-invasively collected samples, such as hair, scat, and feathers, has become a powerful method to follow individual wild animals. Our team was the first to develop and use non-invasive genetic mark-recapture techniques to estimate demography of raptor populations. We initially focused on imperial eagles in Kazakhstan and we are now using those same tools to understand the demography of golden eagles in California and vultures in Cambodia.
Motion-sensitive Cameras
Our team has also developed a network of motion-sensitive cameras for detection of birds of prey. When set in the field with bait, a motion-sensitive camera becomes a “trap” that “captures” images of all kinds of wildlife. Before this project, such camera traps had been deployed to monitor mammals. We are the first to use them specifically to target birds. Using these camera traps, we have discovered that the winter range of golden eagles in eastern North America is much larger than previously known and we are cataloguing important aspects of the biology, demography, and ecology of this poorly studied population.
Learn about other projects led by Dr. Todd Katzner.
Interaction Between Alternative Energy Development and Raptors
Bird Movement and Migration
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
Lead (Pb) in Bald and Golden Eagles from 38 United States, USA, 2010-2018
Long-distance movements of non-migratory golden eagles in western North America, 2007-2017
Data derived from GPS tracking of free-flying bald eagles (Haliaeetus leucocephalus), Iowa, USA
Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
Considering behavioral state when predicting habitat use: Behavior-specific spatial models for the endangered Tasmanian wedge-tailed eagle
Open-source intelligence for conservation biology
A flexible movement model for partially migrating species
Vulnerability of avian populations to renewable energy production
Stochastic agent-based model for predicting turbine-scale raptor movements during updraft-subsidized directional flights
Drivers of flight performance of California Condors (Gymnogyps californianus)
Toward scoping reviews of individual bird species
Classifying behavior from short-interval biologging data: An example with GPS tracking of birds
Demographic implications of lead poisoning for eagles across North America
Morphometric sex identification of nestling and free-flying Tasmanian Wedge-tailed Eagles (Aquila audax fleayi)
Resource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distribution
Flight altitudes of raptors in southern Africa highlight vulnerability of threatened species to wind turbines
Plain language descriptions for some related USGS products and publications.
- Overview
Raptors, or birds of prey, are often used to indicate the state of an ecosystem, and monitoring their populations can help us to understand ecosystem processes. Raptors are particularly good animals for monitoring because they are big and therefore charismatic and easy to observe. Whether we’re monitoring nesting biology and reproductive output, counting individuals on roads, or setting up trail cameras in the woods, our team engages in science that is important to ecological well-being and to society.
Non-invasive Genetic Analysis
Our team uses non-invasive monitoring techniques to gather information on poorly known raptor demographic parameters like survivorship, population size, and rates of immigration and emigration. Traditionally, this was done with capture and recapture of individuals, an approach that requires exceptional effort for relatively poor return. However, in the last decade, genetic analysis of non-invasively collected samples, such as hair, scat, and feathers, has become a powerful method to follow individual wild animals. Our team was the first to develop and use non-invasive genetic mark-recapture techniques to estimate demography of raptor populations. We initially focused on imperial eagles in Kazakhstan and we are now using those same tools to understand the demography of golden eagles in California and vultures in Cambodia.
Motion-sensitive Cameras
Our team has also developed a network of motion-sensitive cameras for detection of birds of prey. When set in the field with bait, a motion-sensitive camera becomes a “trap” that “captures” images of all kinds of wildlife. Before this project, such camera traps had been deployed to monitor mammals. We are the first to use them specifically to target birds. Using these camera traps, we have discovered that the winter range of golden eagles in eastern North America is much larger than previously known and we are cataloguing important aspects of the biology, demography, and ecology of this poorly studied population.
- Science
Learn about other projects led by Dr. Todd Katzner.
Interaction Between Alternative Energy Development and Raptors
Energy production has become essential for modern society. At the same time, this process can have negative effects on wildlife and ecosystems. It is in the best interest of society and the environment to understand these effects and to manage and mitigate for them. Our team focuses on measuring how energy development influences birds of prey and learning how to minimize impacts.Bird Movement and Migration
Migration is an amazing annual event. Every year billions of animals – birds, mammals, insects, and fish – make long-distance journeys from breeding grounds to wintering grounds. Most northern hemisphere birds migrate southward, but there are many other ways that birds move seasonally. If we want to protect birds that take these long distance journeys, we need to understand why they move, why they... - Data
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
Lead (Pb) in Bald and Golden Eagles from 38 United States, USA, 2010-2018
We evaluated lead poisoning in bald and golden eagles during all seasons of the year and from states in each of the four major flyways throughout the continental USA.Long-distance movements of non-migratory golden eagles in western North America, 2007-2017
We studied >500 golden eagles tracked by telemetry over a 10-year period in western North America, of which 160 engaged in non-routine, long-distance (> 300 km) movements. We identified spatial and temporal correlates of those movements at both small and large scales, and we quantified movement timing and direction. We further tested which age and sex classes of eagles were more likely to enData derived from GPS tracking of free-flying bald eagles (Haliaeetus leucocephalus), Iowa, USA
Comma-separated values (.csv) file containing data (and derived data) from GPS tracking of free-flying bald eagles (Haliaeetus leucocephalus), Iowa, USA. NOTE: Data file does not load properly in Microsoft Excel due to the size of data file (2,093,022 rows x 15 columns) that far exceeds Excel's maximum of 1,048,576 rows. Use other program(s) like R or Notepad to view the file.Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November
This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden - Publications
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
Filter Total Items: 64Considering behavioral state when predicting habitat use: Behavior-specific spatial models for the endangered Tasmanian wedge-tailed eagle
Effective planning for species conservation often requires an understanding of habitat use. The resources an animal selects within the landscape relate to its behavioral state and, therefore, incorporating behavior into habitat selection analyses can help inform management of threatened species. Here we present an approach for developing behavior-specific spatial habitat-use models using large quaOpen-source intelligence for conservation biology
Open-source intelligence (OSINT) evolved in spy agencies but now is rapidly changing many fields of study, from anthropology to zoology. Despite the fact that OSINT occasionally is used in conservation biology, there is little recognition that some tools and frameworks used by conservation professionals are drawn from this well-established field. The history and conceptual foundations of OSINT steA flexible movement model for partially migrating species
We propose a flexible model for a partially migrating species, which we demonstrate using yearly paths for golden eagles (Aquila chrysaetos). Our model relies on a smoothly time-varying potential surface defined by a number of attractors. We compare our proposed approach using varying coefficients to a latent-state model, which we define differently for migrating, dispersing, and local individualsVulnerability of avian populations to renewable energy production
Renewable energy production can kill individual birds, but little is known about how it affects avian populations. We assessed the vulnerability of populations for 23 priority bird species killed at wind and solar facilities in California, USA. Bayesian hierarchical models suggested that 48% of these species were vulnerable to population-level effects from added fatalities caused by renewables andStochastic agent-based model for predicting turbine-scale raptor movements during updraft-subsidized directional flights
Rapid expansion of wind energy development across the world has highlighted the need to better understand turbine-caused avian mortality. The risk to golden eagles (Aquila chrysaetos) is of particular concern due to their small population size and conservation status. Golden eagles subsidize their flight in part by soaring in orographic updrafts, which can place them in conflict with wind turbinesDrivers of flight performance of California Condors (Gymnogyps californianus)
Flight behavior of soaring birds depends on a complex array of physiological, social, demographic, and environmental factors. California Condors (Gymnogyps californianus) rely on thermal and orographic updrafts to subsidize extended bouts of soaring flight, and their soaring flight performance is expected to vary in response to environmental variation and, potentially, with experience. We collecteToward scoping reviews of individual bird species
Scoping reviews, in which the literature on a given topic is systematically collated and summarized, aid literature searches and highlight knowledge gaps on a given topic, thus hastening scientific progress and informing conservation efforts. Because much research and conservation is targeted at the species level, ornithology and bird conservation would benefit from scoping reviews of individual sClassifying behavior from short-interval biologging data: An example with GPS tracking of birds
Recent advances in digital data collection have spurred accumulation of immense quantities of data that have potential to lead to remarkable ecological insight, but that also present analytic challenges. In the case of biologging data from birds, common analytical approaches to classifying movement behaviors are largely inappropriate for these massive data sets.We apply a framework for using K-meaDemographic implications of lead poisoning for eagles across North America
Lead poisoning occurs worldwide in populations of predatory birds, but exposure rates and population impacts are known only from regional studies. We evaluated the lead exposure of 1210 bald and golden eagles from 38 US states across North America, including 620 live eagles. We detected unexpectedly high frequencies of lead poisoning of eagles, both chronic (46 to 47% of bald and golden eagles, asMorphometric sex identification of nestling and free-flying Tasmanian Wedge-tailed Eagles (Aquila audax fleayi)
The endangered Tasmanian Wedge-tailed Eagle (Aquila audax fleayi) is the focus of continued research and conservation efforts. A tool for accurate and efficient identification of the sex of individuals would be a valuable aid to research and management. However, plumages are monomorphic between the sexes, making sex identification difficult without molecular analyses. Our aim was to assess whetherResource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distribution
Habitat selection studies are designed to generate predictions of species distributions or inference regarding general habitat associations and individual variation in habitat use. Such studies frequently involve either individually indexed locations gathered across limited spatial extents and analyzed using resource selection functions (RSFs) or spatially extensive locational data without individFlight altitudes of raptors in southern Africa highlight vulnerability of threatened species to wind turbines
Energy infrastructure, particularly for wind power, is rapidly expanding in Africa, creating the potential for conflict with at-risk wildlife populations. Raptor populations are especially susceptible to negative impacts of fatalities from wind energy because individuals tend to be long-lived and reproduce slowly. A major determinant of risk of collision between flying birds and wind turbines is t - News
Plain language descriptions for some related USGS products and publications.