William L. Kendall

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Capture-recapture studies are crucial in many circumstances for estimating demographic parameters for wildlife and fish populations. Pollock's robust design, involving multiple sampling occasions per period of interest, provides several advantages over classical approaches. This includes the ability to estimate the probability of being present and available(More)
The Jolly-Seber method has been the traditional approach to the estimation of demographic parameters in long-term capture-recapture studies of wildlife and fish species. This method involves restrictive assumptions about capture probabilities that can lead to biased estimates, especially of population size and recruitment. Pollock (1982, Journal of Wildlife(More)
Analytical methods accounting for imperfect detection are often used to facilitate reliable inference in population and community ecology. We contend that similar approaches are needed in disease ecology because these complicated systems are inherently difficult to observe without error. For example, wildlife disease studies often designate individuals,(More)
Simultaneous estimation of survival, reproduction, and movement is essential to understanding how species maximize lifetime reproduction in environments that vary across space and time. We conducted a four-year, capture-recapture study of three populations of eastern tiger salamanders (Ambystoma tigrinum tigrinum) and used multistate mark-recapture(More)
Thresholds and their relevance to conservation have become a major topic of discussion in the ecological literature. Unfortunately, in many cases the lack of a clear conceptual framework for thinking about thresholds may have led to confusion in attempts to apply the concept of thresholds to conservation decisions. Here, we advocate a framework for thinking(More)
Occupancy statistical models that account for imperfect detection have proved very useful in several areas of ecology, including species distribution and spatial dynamics, disease ecology, and ecological responses to climate change. These models are based on the collection of multiple samples at each of a number of sites within a given season, during which(More)
Development and use of multistate mark-recapture models, which provide estimates of parameters of Markov processes in the face of imperfect detection, have become common over the last 20 years. Recently, estimating parameters of hidden Markov models, where the state of an individual can be uncertain even when it is detected, has received attention. Previous(More)
Aerial surveys are often used to estimate the density of wildlife populations. A common problem is underestimation of population density due to animals being missed. This visibility bias can be quite serious and in this paper we review various methods of attempting its estimation. A variety of methods based on comparison with ground counts, use of a(More)
SOPHIE VÉRAN*, OLIVIER GIMENEZ*†, ELIZABETH FLINT‡, WILLIAM L. KENDALL§, PAUL F. DOHERTY JR¶ and JEAN-DOMINIQUE LEBRETON* * CEFE, UMR 5175, CNRS, 1919 route de Mende, 34293 Montpellier cedex 5, France; † University of St Andrews, The Observatory, Buchanan Gardens, St Andrews, Fife, Scotland, KY16 9LZ, UK; ‡ US Fish and Wildlife Service, Hawaiian and Pacific(More)
Capture-recapture models are widely used to estimate demographic parameters of marked populations. Recently, this statistical theory has been extended to modeling dispersal of open populations. Multistate models can be used to estimate movement probabilities among subdivided populations if multiple sites are sampled. Frequently, however, sampling is limited(More)