Citizen-science projects engage volunteers to gather or process data to address scientific
questions. But citizen-science projects vary in their ability to contribute usefully for science …

Building useful models of species distributions requires attention to several important issues,
one being imperfect detection of species. Data sets of species detections are likely to suffer …

There is increasing availability and use of unstructured and semi‐structured citizen science
data in biodiversity research and conservation. This expansion of a rich source of 'big …

With the advance of methods for estimating species distribution models has come an interest
in how to best combine datasets to improve estimates of species distributions. This has …

Presence‐only records may provide data on the distributions of rare species, but commonly
suffer from large, unknown biases due to their typically haphazard collection schemes …

Detection in studies of species abundance and distribution is often imperfect. Assuming
perfect detection introduces bias into estimation that can weaken inference upon which …

Habitat‐selection analysis lacks an appropriate measure of the ecological significance of the
statistical estimates—a practical interpretation of the magnitude of the selection coefficients …

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

Binomial N‐mixture models have proven very useful in ecology, conservation, and
monitoring: they allow estimation and modeling of abundance separately from detection …

Imperfect detection can seriously bias conventional estimators of species distributions and
species richness. Plant traits, survey‐specific conditions and site‐specific characteristics …