Brendah Nyaguthii

The paper shows that dispersing vulturine guineafowl select open habitats like roads to reduce transport energy costs during long-distance movement.

This paper argues for moving beyond performance metrics in ML classification for animal studies and proposes simulations and biological validations to better assess model utility despite noisy data.

The paper shows density increases network connectedness in wild animal populations, but effects saturate, with stronger spatial than social impacts.

The study finds that leadership in collective movements incurs physiological costs, such as increased heart rate and reduced heart rate variability, particularly when leadership attempts fail.

This study examines how environmental and social factors influence space use consistency in non-territorial vulturine guineafowl groups.

This study shows that group size affects how vulturine guineafowl adjust their behavior to thermoregulation-foraging trade-offs, with intermediate group sizes showing more flexible use of open areas.

This study examines how group movement affects energetic efficiency in vulturine guineafowl, finding that group members reduce transport costs but cannot match the efficiency of solitary individuals.

This paper introduces a low-cost, low-energy animal tracking system using Bluetooth low energy beacons and crowd-sourced mobile phone networks to enable long-term tracking of small animals in urban and non-urban environments.