Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

Integrating diverse concepts from animal behavior, movement ecology, and machine
learning, we develop an overview of the ecology of learning and animal movement …

Pathogen transmission depends on host density, mobility and contact. These components
emerge from host and pathogen movements that themselves arise through interactions with …

Climbing plants require an external support to grow vertically and enhance light acquisition.
Climbers that find a suitable support demonstrate greater performance and fitness than …

In the past three decades scientists have been equipping free-living seabirds with bio-
logging devices to provide information about their behaviour in unprecedented detail …

Accurately predicting behavioural modes of animals in response to environmental features
is important for ecology and conservation. Supervised learning (SL) methods are …

Decision trees constitute a simple yet powerful and interpretable machine learning tool.
While tree-based methods are designed only for cross-sectional data, we propose an …

Mapping the eco-evolutionary factors shaping the development of animals' behavioural
phenotypes remains a great challenge. Recent advances in 'big behavioural data'research …

Erosion of landscapes underlaid by permafrost can transform sediment and nutrient fluxes,
surface and subsurface hydrology, soil properties, and rates of permafrost thaw, thus …

There are generally four categories of trajectory data: mobility of people, mobility of
transportation vehicles, mobility of animals, and mobility of natural phenomena (Zheng …