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
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
Adaptive management of animal populations with significant unknowns and uncertainties: A case study
A multistate open robust design: population dynamics, reproductive effort, and phenology of sea turtles from tagging data
Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes
A guide to multi-objective optimization for ecological problems with an application to cackling goose management
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
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
Adaptive management of animal populations with significant unknowns and uncertainties: A case study
A multistate open robust design: population dynamics, reproductive effort, and phenology of sea turtles from tagging data
Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes
A guide to multi-objective optimization for ecological problems with an application to cackling goose management
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.