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

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 …

Estimating the abundance and spatial distribution of animal and plant populations is
essential for conservation and management. We introduce the R package Distance that …

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

Point process models for spatio-temporal distance sampling data from a large-scale survey
of blue whales Page 1 The Annals of Applied Statistics 2017, Vol. 11, No. 4, 2270–2297 …

Distance sampling is a common survey method in wildlife studies, because it allows
accounting for imperfect detection. The framework has been extended to hierarchical …

Community‐based conservation models have been widely implemented across Africa to
improve wildlife conservation and livelihoods of rural communities. In Tanzania …

Facilitating coexistence between people and wildlife is a major conservation challenge in
East Africa. Some conservation models aim to balance the needs of people and wildlife, but …

Conventional distance sampling adopts a mixed approach, using model-based methods for
the detection process, and design-based methods to estimate animal abundance in the …

Abstract Stochastic versions of Gompertz, Ricker, and various other dynamics models play a
fundamental role in quantifying strength of density dependence and studying long‐term …