Animals are facing novel 'timescapes' in which the stimuli entraining their daily activity
patterns no longer match historical conditions due to anthropogenic disturbance. However …

Methods for collecting animal behaviour data in natural environments, such as direct
observation and biologging, are typically limited in spatiotemporal resolution, the number of …

Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to
enhance our understanding of animal behaviour and conservation strategies. Using …

Uncovering the mechanisms behind animal space use patterns is of vital importance for
predictive ecology, thus conservation and management of ecosystems. Movement is a core …

Quantifying space use and segregation, as well as the extrinsic and intrinsic factors affecting
them, is crucial to increase our knowledge of species‐specific movement ecology and to …

Global migrations of diverse animal species often converge along the same routes, bringing
together seasonal assemblages of animals that may compete, prey on each other, and …

Ecological communities are assembled through a series of multiple processes, including
dispersal, abiotic and biotic filtering, and ecological drift. Although these assembly …

Suitable conditions for species to survive and reproduce constitute their ecological niche,
which is built by abiotic conditions and interactions with conspecifics and heterospecifics …

Integrated step‐selection analysis (ISSA) is frequently used to study habitat selection using
animal movement data. Methods for incorporating random effects in ISSA have been …

Acoustic telemetry (AT) has emerged as a valuable tool for monitoring aquatic animals in
both European inland and marine waters over the past two decades. The European …