N‐mixture and occupancy models are often used to account for non‐detections in
population surveys. The consensus has been that the methods require data that are …

Count data of animals observed from multiple sites are commonly used to study variation in
abundance across space and time. Because some individuals typically go undetected in …

The class of N‐mixture models allows abundance to be estimated from repeated, point count
surveys while adjusting for imperfect detection of individuals. We developed an extension of …

Models have been devised previously that allow the estimation of abundance from detection
data of unmarked individuals while accounting for imperfect detection, but these are …

Many studies in ecology and management aim at quantifying absolute abundance based on
counts at a set of surveyed sites. As time for data collection is typically limited, methods for …

Estimating occupancy while accounting for imperfect detection typically requires repeated
surveys at sampling units. However, mixed sampling designs are very common, where only …

Relationships between species abundance and occupancy are of considerable interest in
metapopulation biology and in macroecology. Such relationships may be described …

Recently, estimators have been developed to estimate occupancy probabilities when false‐
positive detections occur during presence–absence surveys. Some of these estimators …

Accurate estimates of population abundance are essential to both theoretical and applied
ecology. Rarely are all individuals detected during a survey and abundance models often …

Determination of the relative abundance of two populations, separated by time or space, is
of interest in many ecological situations. We focus on two estimators of relative abundance …