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
Regional patterns in proportion of bird species detected in the North American Breeding Bird Survey
The robust design for capture-recapture studies: analysis using program MARK
Analysis of survival, local and seasonal movements of the Rocky Mountain population of Sandhill Cranes
Robustness of closed capture-recapture methods to violations of the closure assumption
Program RDSURVIV: An estimation tool for capture-recapture data collected under Pollock's robust design
Analysis of survival, local and seasonal movements of the Rocky Mountain population of Sandhill Cranes
Adaptive harvest management of waterfowl: implementation and evolution
Program RDSURVIV: An estimation tool for capture-recapture data collected under Pollock's robust design
Estimating temporary emigration using capture-recapture data with Pollock's robust design
Subspecies composition of sandhill crane harvest in North Dakota, 1968-94
Modeling the population dynamics of Gulf Coast sandhill cranes
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
- Publications
Filter Total Items: 89
Regional patterns in proportion of bird species detected in the North American Breeding Bird Survey
Counts from the North American Breeding Bird Survey (BBS) underestimate species richness. We use capture-recapture methods to estimate species richness from BBS count data collected in 1996 and show that detection probabilities demonstrate clear regional patterns. Capture-recapture methods should be used to estimate species richness from count data, and failure to use estimation procedures for sAuthorsJ.R. Sauer, J. D. Nichols, J. E. Hines, T. Boulinier, C.H. Flather, W. L. KendallThe robust design for capture-recapture studies: analysis using program MARK
Collecting capture-recapture data under Pollock?s robust design provides an additional source of information on capture probability that can be used to provide less biased and more efficient estimates of population dynamics parameters. In addition, it can be used to estimate the probability of being available for capture, which in some cases (e.g., breeding proportion) has ecological significanceAuthorsW. L. KendallAnalysis of survival, local and seasonal movements of the Rocky Mountain population of Sandhill Cranes
No abstract available.AuthorsR.C. Drewien, W. L. KendallRobustness of closed capture-recapture methods to violations of the closure assumption
Closed-population capture–recapture methods have been used extensively in animal ecology, both by themselves and within the context of Pollock’s robust design and multistate models, to estimate various parameters of population and community dynamics. The defining assumption of geographic and demographic closure (i.e., no births, deaths, immigration, or emigration) for the duration of sampling is rAuthorsWilliam L. KendallProgram RDSURVIV: An estimation tool for capture-recapture data collected under Pollock's robust design
Several papers have demonstrated the advantages of collecting capture-recapture data using subsamples (i.e. Pollock's robust design). Compared with a standard design (i.e. one sample per period), this approach (1) permits the estimation of more demographic parameters and (2) in many cases produces more efficient estimators. Program SURVIV is a powerful tool for computing parameter estimates underAuthorsW. L. Kendall, J. E. HinesAnalysis of survival, local and seasonal movements of the Rocky Mountain population of Sandhill Cranes
No abstract available.AuthorsR.C. Drewien, W. L. KendallAdaptive harvest management of waterfowl: implementation and evolution
No abstract available.AuthorsW. L. KendallProgram RDSURVIV: An estimation tool for capture-recapture data collected under Pollock's robust design
Several papers have demonstrated the advantages of collecting capture- recapture data using subsamples (i.e. Pollock's robust design). Compared with a standard design (i.e. one sample per period), this approach (1) permits the estimation of more demographic parameters and (2) in many cases produces more efficient estimators. Program SURVIV is a powerful tool for computing parameter estimates underAuthorsW. L. Kendall, J. E. HinesEstimating temporary emigration using capture-recapture data with Pollock's robust design
Statistical inference for capture–recapture studies of open animal populations typically relies on the assumption that all emigration from the studied population is permanent. However, there are many instances in which this assumption is unlikely to be met. We define two general models for the process of temporary emigration: completely random and Markovian. We then consider effects of these two tAuthorsW. L. Kendall, James D. Nichols, James E. HinesSubspecies composition of sandhill crane harvest in North Dakota, 1968-94
North Dakota is a major fall staging area for the Midcontinent Population of sandhill cranes (Grus canadensis), which is composed of three subspecies: the greater (G. c. tabida), Canadian (G. c. rowani), and lesser (G. c. canadensis). The number of cranes killed by hunters in North Dakota averaged 6,793 during 1990-94 seasons, ranking second highest among crane-hunting states. The distribution oAuthorsW. L. Kendall, D. H. Johnson, S. C. KohnModeling the population dynamics of Gulf Coast sandhill cranes
The Midcontinental population of sandhill cranes (Grus canadensis) has a large geographic range, contains nearly 500,000 birds, and is hunted in much of its range. The population includes three subspecies; the numbers of two of these are uncertain, and they should be afforded protection from hunting that would be detrimental to their population. The two subspecies of concern tend to concentrateAuthorsD. H. Johnson, W. L. KendallNon-USGS Publications**
Ruiz-Gutierrez, V., W. L. Kendall, J. F. Saracco, and G. C. White. Modeling dynamics for resident and transient individuals: a case study using uncertain state models for migratory birds. Journal of Applied Ecology, DOI: 10.1111/1365-2664.12655Garcia-Cruz, M. A., M. Lampo, C. L. Penaloza, W. L. Kendall, G. Sole, and K. M. Rodriguez-Clark. 2015.Population trends and survival of nesting green sea turtles (Chelonia mydas) on Aves Island, Venezuela. Endangered Species Research 29:101-116.Lyons, J. E., W. L. Kendall, J. A. Royle, S. J. Converse, B. A. Andres, and J. B. Buchanan. 2015. Population size and stopover duration estimation using mark-resight data and Bayesian analysis of a superpopulation model. Biometrics DOI: 10.1111/biom.12393.Pearson, K. N., W. L. Kendall, D. L. Winkelman, and W. R. Persons. 2015. Evidence for skipped spawning in the endangered humpback chub (Gila cypha) with implications for demographic parameter estimates. Canadian Journal of Fisheries and Aquatic Sciences 170:50-59Chambert, T., Kendall, W. L., Hines, J. E., Nichols, J. D., Pedrini, P., Waddle, J. H., Tavecchia, G., Walls, S. C. and Tenan, S. (2015), Testing hypotheses on distribution shifts and changes in phenology of imperfectly detectable species. Methods Ecol Evol, 6: 638–647. doi:10.1111/2041-210X.12362**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.