Kamran Safi

move2utils provides R functions to transition movement analysis tools from the move package to move2, preserving legacy methods and adding new outlier detection.

This paper introduces a method to detect and flag outliers in animal movement tracks, achieving high accuracy across synthetic and real data.

This study uses eagle flight data to assess how high-resolution weather models capture atmospheric dynamics, revealing gaps in thermal resolution and the need for better model accuracy.

This study investigates why golden eagle juveniles delay emigration despite acquiring flight skills, finding that external factors, not skill mastery, primarily influence the timing of independence.

The paper investigates whether juvenile Alpine golden eagles avoid human-dominated landscapes due to innate behavior, learning during dispersal, or pre-dispersal imprinting, finding that imprinting on natal habitat features explains the avoidance behavior.

The paper introduces MoveTraits, a database integrating animal behavior into trait-based ecology by standardizing movement traits from biologging data to improve global change predictions and biodiversity assessments.

The paper tracks turning-side bias in soaring birds and finds that individual laterality persists despite flight symmetry requirements.

This study examines how early-life activity levels in golden eagles influence later life-history transitions, finding that higher nestling activity correlates with earlier fledging and dispersal.

This study shows golden eagles in the Alps use gravity waves for soaring, contributing to 19% of their flight segments and becoming primary updraught sources in winter.

This study shows sulphur-crested cockatoos adjust their foraging times to match human feeding patterns in urban areas, highlighting the importance of green spaces for urban wildlife.

The study shows that the realized energy landscape for golden eagles changes with age, with younger eagles having higher energy costs and smaller flyable areas.