Bill Kendall, PhD
Assistant Unit Leader - Colorado Cooperative Fish and Wildlife Research Unit
Bill's research is both methodological and applied, focused largely on developing models of population dynamics or species distribution that can be used to inform conservation decisions. He has worked extensively in developing and improving capture-recapture and occupancy study designs and models, and in developing structured decision-making approaches to wildlife management. Much of his work is in population ecology, but also includes migration ecology and the spread of invasive species or disease. His research is taxonomically varied, with extensive work on migratory birds such as sandhill cranes, waterfowl, and raptors, as well as large mammals, bats, riverine fish, and marine species such as albatross, sea turtles, and manatees. Bill regularly teaches courses and short courses in Sampling and Analysis of Vertebrate Populations, and Adaptive Fish and Wildlife Management.
Bill received graduate degrees from North Carolina State University, followed by five years in population assessment with USFWS Migratory Bird Management, and then 13 years as a researcher with Patuxent Wildlife Research Center, before joining the Colorado Unit in 2010.
Professional Experience
Assistant Unit Leader, Colorado Cooperative Fish and Wildlife Research Unit, 2010-
Education and Certifications
Ph D North Carolina State University 1992
MS North Carolina State University 1990
MS North Carolina State University 1985
BBA University of Cincinnati 1982
Science and Products
Estimating northern spotted owl (Strix occidentalis caurina) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018
Range-wide sources of variation in reproductive rates of northern spotted owls
Incorporating antenna detections into abundance estimates of fish
Range-wide declines of northern spotted owl populations in the Pacific Northwest: A meta-analysis
Opinion: A preferred approach for dealing with reproducibility and replicability in science
Partial migration and spawning movements of humpback chub in the Little Colorado River are better understood using data from autonomous PIT tag antennas
Factors influencing Cinnamon Teal nest attendance patterns
Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty
Nest site selection influences cinnamon teal nest survival in Colorado
Selecting ecological models using multi-objective optimization
Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model
The non-linear, interactive effects of population density and climate drive the geographical patterns of waterfowl survival
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Estimating northern spotted owl (Strix occidentalis caurina) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018
Range-wide sources of variation in reproductive rates of northern spotted owls
Incorporating antenna detections into abundance estimates of fish
Range-wide declines of northern spotted owl populations in the Pacific Northwest: A meta-analysis
Opinion: A preferred approach for dealing with reproducibility and replicability in science
Partial migration and spawning movements of humpback chub in the Little Colorado River are better understood using data from autonomous PIT tag antennas
Factors influencing Cinnamon Teal nest attendance patterns
Optimal spatial prioritization of control resources for elimination of invasive species under demographic uncertainty
Nest site selection influences cinnamon teal nest survival in Colorado
Selecting ecological models using multi-objective optimization
Characterizing residence patterns of North Atlantic right whales in the southeastern U.S. with a multistate open robust design model
The non-linear, interactive effects of population density and climate drive the geographical patterns of waterfowl survival
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.