William L. Kendall

USGS Patuxent Wildlife Research Center
12100 Beech Forest Road
Laurel, MD 20708

Telephone: 301-497-5868

Fax: 301-497-5545

Email: wkendall@usgs.gov 

Research Biometrician

Primary Responsibilities: 
Duties include the development, application, and evaluation of methods in quantitative ecology, and providing consultation on these topics to DOI managers and other scientists.  Current research focuses on several areas of capture-recapture statistical methodology, the conceptual development of adaptive resource management and its application to harvest and refuge management problems, and population dynamics of sandhill cranes, waterfowl, albatross, sea turtles, and manatees.

Education/Training: 
B.B.A., University of Cincinnati (1982), quantitative analysis 

M.Bma., North Carolina State University (1985), biomathematics / ecology 

M.St., North Carolina State University (1990), statistics 

Ph.D., North Carolina State University (1992), biomathematics

Active Projects: 
Development of methods to estimate parameters associated with animal population dynamics

Demographic Modeling of North Pacific Albatross Populations

Population dynamics of Canada Geese within the Atlantic Flyway

Annual survival in the southeastern coastal breeding population of the painted bunting

Development of models of mallard population dynamics for adaptive harvest management

Development of new statistical methods for biological application

Modeling and management of sandhill crane populations

Adaptive management and assessment of habitat changes on migratory birds

Determination, biological consequences, and modeling of sex-specific demographic rates in declining, threatened, or endangered metapopulations

Select Publications/Products: 
Kendall, W. L. and E. G. Cooch. 2006. The “Robust Design”. Pages 16-1 to 16-39 in E. G. Cooch and G. C. White (eds), Program MARK: a gentle introduction, 5th edition. http://www.phidot.org/software/mark/docs/book/.

Kendall, W. L., P. B. Conn, and J. E. Hines. 2006. Combining multi-state capture-recapture data with tag recoveries to estimate demographic parameters. Ecology 87:169-177.

Kendall, W. L. 2004. Coping with unobservable and mis-classified states in capture-recapture studies. Animal Biodiversity and Conservation. 27:97-107.

Kendall, W. L., and J. D. Nichols. 2004. Modern statistical methods for the study of dispersal and movement in birds. Condor 106:720-731. Invited paper.

Nichols, J. D., W. L. Kendall, J. E. Hines, and J. A. Spendelow. Estimation of sex-specific survival from capture-recapture data when sex is not always known. Ecology, 85(12):3192-3201

Kendall, W. L., C. A. Langtimm, C. A. Beck, and M. C. Runge. 2004. Mark-recapture analysis for estimating manatee reproductive rates. Marine Mammal Science 20:424-437.

Bailey, L. L., W. L. Kendall, D. R. Church, and H. M. Wilbur. 2004. Estimating survival and breeding probabilities for pond-breeding amphibians using a modified robust design. Ecology 85 (9):2456-2466.

Kendall, W. L., J. E. Hines, and J. D. Nichols. 2003. Adjusting multi-state capture-recapture models for mis-classification bias: manatee breeding proportions. Ecology 84:1058-1066.

Kendall, W. L., and J. D. Nichols. 2002. Estimating state-transition probabilities for unobservable states using capture-recapture/resighting data. Ecology 83:3276-3284.

Kendall, W. L. 2001. Using models to facilitate complex decisions. Pages 147-170 in T. Schenk and A. Franklin (eds.), Modeling in Natural Resource Management: Valid Development, Interpretation, and Application, Island Press, Inc, Washington, DC, USA.