Bill Kendall, PhD
Assistant Unit Leader - Colorado Cooperative Fish and Wildlife Research Unit
Research Interests
My interests are in the development, application, and evaluation of methods in quantitative ecology. Current research focuses on several areas of capture-recapture statistical methodology, the conceptual development of adaptive resource management and its application to decision problems, and population dynamics of sandhill cranes, albatross, sea turtles, and manatees.
Teaching Interests
I teach courses in population analysis and demographic estimation, and wildlife management science.
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
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
Tradeoffs between physical captures and PIT tag antenna array detections: A case study for the Lower Colorado River Basin population of humpback chub (Gila cypha)
Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population
Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use
Considering transient population dynamics in the conservation of slow life-history species: An application to the sandhill crane
Overwintering strategies of migratory birds: a novel approach for estimating seasonal movement patterns of residents and transients
Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model
Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations
Evidence for skipped spawning in a potamodromous cyprinid, humpback chub (Gila cypha), with implications for demographic parameter estimates
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
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
Tradeoffs between physical captures and PIT tag antenna array detections: A case study for the Lower Colorado River Basin population of humpback chub (Gila cypha)
Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population
Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use
Considering transient population dynamics in the conservation of slow life-history species: An application to the sandhill crane
Overwintering strategies of migratory birds: a novel approach for estimating seasonal movement patterns of residents and transients
Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model
Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations
Evidence for skipped spawning in a potamodromous cyprinid, humpback chub (Gila cypha), with implications for demographic parameter estimates
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.