As human and automated sensor networks collect increasingly massive volumes of animal
observations, new opportunities have arisen to use these data to infer or track species …

Ecologists develop species-habitat association (SHA) models to understand where species
occur, why they are there and where else they might be. This knowledge can be used to …

Executive summary How can we effectively maintain and enhance forest biodiversity in
Europe? hampered efforts to build a standardised, EU-level overview of how forest …

Citizen science databases are increasing in importance as sources of ecological
information, but variability in effort across locations is inherent to such data. Spatially biased …

Open-source biodiversity databases contain a large number of species occurrence records
but are often spatially biased; which affects the reliability of species distribution models …

Presence‐only data are typical occurrence information used in species distribution
modelling. Data may be originated from different sources, and their integration is a …

Many citizen scientists are highly motivated to help address the current extinction crisis.
Their work is making valuable contributions to protecting species by raising awareness …

Context Spatial capture-recapture (SCR) models are increasingly popular for analyzing
wildlife monitoring data. SCR can account for spatial heterogeneity in detection that arises …

Many publications make use of opportunistic data, such as citizen science observation data,
to infer large‐scale properties of species' distributions. However, the few publications that …

Conserving oceanic apex predators, such as sharks, is of utmost importance. However,
scant abundance and distribution data often challenge understanding the population status …