Understanding animal movement is essential to elucidate how animals interact, survive, and
thrive in a changing world. Recent technological advances in data collection and …

Remote sensing has transformed the monitoring of life on Earth by revealing spatial and
temporal dimensions of biological diversity through structural, compositional and functional …

Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …

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

Noninvasive behavioral tracking of animals during experiments is critical to many scientific
pursuits. Extracting the poses of animals without using markers is often essential to …

High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …

Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …

Monitoring global biodiversity from space through remotely sensing geospatial patterns has
high potential to add to our knowledge acquired by field observation. Although a framework …

The field of biology has seen tremendous technological progress in recent years, fuelled by
the exponential growth in processing power and high‐level computing, and the rise of global …

The landscape of fear (LOF) concept posits that prey navigate spatial heterogeneity in
perceived predation risk, balancing risk mitigation against other activities necessary for …