In most circumstances, probability sampling is the only way to ensure unbiased inference
about population quantities where a complete census is not possible. As we enter the era of …

Biodiversity monitoring is important to identify conservation needs and test the efficacy of
management actions. Variants of “abundance”(N) are among the most widely monitored …

Biodiversity sampling is labor intensive, and a substantial fraction of a biota is often
represented by species of very low abundance, which typically remain undetected by …

Biological monitoring programmes are increasingly relying upon large volumes of citizen‐
science data to improve the scope and spatial coverage of information, challenging the …

Biodiversity monitoring usually involves drawing inferences about some variable of interest
across a defined landscape from observations made at a sample of locations within that …

Species distribution models (SDM s) are now being widely used in ecology for management
and conservation purposes across terrestrial, freshwater, and marine realms. The increasing …

We are currently in the midst of Earth's sixth extinction event, and measuring biodiversity
trends in space and time is essential for prioritizing limited resources for conservation. At the …

Accurate knowledge of species occurrence is fundamental to a wide variety of ecological,
evolutionary and conservation applications. Assessing the presence or absence of species …

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 …

The use of presence/absence data in wildlife management and biological surveys is
widespread. There is a growing interest in quantifying the sources of error associated with …