Kartik Shanker

This study finds that plumage color similarity drives the formation of mixed-species bird flocks globally, with birds in flocks being more color-similar than expected by chance.

The paper maps cetacean occurrence in South Asian waters using distribution models and expert validation, finding high species richness in specific coastal and archipelagic regions.

The paper examines how predator removal by fisheries affects reef fish behavior, finding that fish in protected areas show increased vigilance and altered foraging and movement behaviors in response to predator models.

This study meta-analyzes 30 years of research on how wild animals respond behaviorally to human interactions, finding that lethal activities cause significant changes while non-lethal ones have mixed effects.

The paper examines how fishing impacts predator-prey dynamics in coral reefs by comparing marine protected areas with fished areas, finding altered prey behavior and habitat effects.

The paper quantifies how tourism and fisheries impact behavioural states and transitions in Indian Ocean humpback dolphins using drone-based observations and machine learning.

The paper uses Species Distribution Models to predict how frog and lizard distributions in the Western Ghats will change under climate change, finding most species will lose suitable habitat.

This paper develops a deep learning and geo-referencing framework for drone-based animal tracking, achieving accurate geo-referenced trajectories across varying conditions.

The paper identifies environmental factors influencing olive ridley sea turtle mass nesting events in Odisha, India, using machine learning to predict arribada start dates.