Distance sampling is a widely used technique for estimating the size or density of biological
populations. Many distance sampling designs and most analyses use the software Distance …

Our understanding of a biological population can be greatly enhanced by modelling their
distribution in space and as a function of environmental covariates. Such models can be …

This is the fourth book dedicated to distance sampling. The first (Buckland et al. 1993)
appeared at around the same time as the first version of the Distance software (Laake et al …

Inference and estimates of abundance are critical for quantifying population dynamics and
impacts of environmental change. Yet imperfect detection and other phenomena that cause …

Recently developed spatial capture—recapture (SCR) models represent a major advance
over traditional capture—recapture (CR) models because they yield explicit estimates of …

The number of animals in a population is conventionally estimated by capture–recapture
without modelling the spatial relationships between animals and detectors. Problems arise …

Population surveys are often used to estimate the density, abundance, or distribution of
natural populations. Recently, model‐based approaches to analyzing survey data have …

Population size and habitat‐specific abundance estimates are essential for conservation
management. A major impediment to obtaining such estimates is that few statistical models …

Imperfect detection during animal surveys biases estimates of abundance and can lead to
improper conclusions regarding distribution and population trends. developed a combined …

Binomial N‐mixture models are commonly applied to analyse population survey data. By
estimating detection probabilities, N‐mixture models aim at extracting information about …