Abstract
Estimators of the mean individual calling rate and density of a wildlife population in a fixed area are derived on the basis of auditory information obtained by one or more listeners within the fixed area. An estimator of density based on the assumption of known calling probabilities and independent callers is shown to be minimum variance unbiased for the true population density. Estimators of density based on unknown calling probabilities are derived under the assumption of independent callers and a Poisson distribution of calls for each caller. The effectiveness of each type of estimation is considered by means of computer simulation. The robustness of the estimators in the absence of various assumptions used to derive them is also considered by means of computer simulation. The problem of losses in call count due to overlapping calls is considered by an application of the theory of counter models.
Ryan, George William (1976). Estimation of population abundances using auditory information. Texas A&M University. Texas A&M University. Libraries. Available electronically from
https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -474398.