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 …

For the vast majority of cases, it is highly unlikely that all the individuals of a population will
be encountered during a study. Furthermore, it is unlikely that a constant fraction of the …

Site selection bias can occur when researchers monitor animals at sites of great abundance,
occupancy or quality. The prevailing heuristic is therefore that ecologists should never select …

Ecological data often violate common assumptions of traditional parametric statistics (eg,
that residuals are Normally distributed, have constant variance, and cases are independent) …

Quantifying patterns of temporal trends in species assemblages is an important analytical
challenge in community ecology. We describe methods of analysis that can be applied to a …

Estimating the species, phylogenetic, and functional diversity of a community is challenging
because rare species are often undetected, even with intensive sampling. The Good‐Turing …

The number of species in an area is critical to the development of evolutionary and
ecological theory from mass extinctions to island biogeography. Still, the factors influencing …

Conservation planning requires extensive amounts of data, yet data collection is expensive,
and there is often a trade‐off between the quantity and quality of data that can be collected …

Numbers of individuals or species are often recorded to test for variations in abundance or
richness between treatments, habitat types, ecosystem management types, experimental …

Species distribution data are fundamental to the understanding of biodiversity patterns and
processes. Yet, such data are strongly affected by sampling biases, mostly related to site …