This paper presents some elementary applications of Bayesian statistics to problems faced by wildlife biologists. Bayesian confidence limits for frequency of occurrence are shown to be generally superior to classical confidence limits. Population density can be estimated from frequency data if the species is sparsely distributed relative to the size of the sample plot. For other situations, limits are developed based on the normal distribution and prior knowledge that density is non-negative, which insures that the lower confidence limit is non-negative. Conditions are describes under which Bayesian confidence limits are superior to those calculated with classical methods; examples are also given on how prior knowledge of the density can be used to sharpen inferences drawn from a new sample.

« This report is a compilation and analysis of the results of nearly 10 years of testing the lethal dietary toxicities of pesticidal and industrial chemicals to young bobwhites (Colinus virginianus), Japanese quail (Coturnix c. japonica), ring-necked pheasants (Phasianus colchicus), and mallards (Anas platyrhynchos). A total of 131 compounds were tested. » --

The genesis of this volume was in a one-day meeting arranged under the auspices of the Nathematical Ecology Group, jointly of the British Region of the Biometric Society and the British Ecological Society, and held in the Natural History Museum in London on the 4th May 1982. The object of the meeting was to bring together individuals from different dis ciplines but with a common interest in ornithology. In this volume we have tried to preserve the flavour of the meeting so that all but two of the papers read or pre sented as posters can be found here. The two papers that have not been included have since been published elsewhere: see Birkhead and Nettleship (1983) and Cav~ (1983). Further papers have been added to the volume from contributors who were unable to attend the London meeting, or were unable to present a paper there. All of the papers were refereed by ourselves. A volume which contains papers by both statisticians and non-statisticians is inevitably going to be variable with regard to the depth and range of statistical techniques used. Thus non-statisticians are likely to find some of the papers written by statisticians difficult at times, and conversely statisticians n2Y find that they would have treated some problems differently from non-statisticians. It is hoped, however, that this volun~ will increase awareness of the interests and problems (including solutions), in the general area of ornithology, and stimulate cross-fertilisation of ideas.

February issue includes Appendix entitled Directory of United States Government periodicals and subscription publications; September issue includes List of depository libraries; June and December issues include semiannual index