Line Østergaard Jensen

Submitted: 08 January 2026 You are already at the latest version Effective wolf monitoring is more critical than ever to support robust population estimates, identify breeding packs, and anticipate and mitigate attacks on livestock. This study evaluates bioacoustic monitoring to estimate wolf population size and detect packs and pups by howling activity, using recordings collected from free-ranging wolves in four different study areas in Denmark and from captive wolves housed in two zoos.

Submitted: 15 December 2025 You are already at the latest version Rising numbers of wolf populations make traditional, resource-intensive methods of wolf monitoring increasingly challenging and often insufficient. This study explores how wolf howls can be used as a new monitoring tool fro wolves by applying AI methods to detect and classify wolf howls from acoustic recordings, thereby improving the effectiveness of wolf population monitoring.