Recommended Literature about Passive Acoustic Monitoring (PAM)

Introduction

The following literature may prove useful for those planning their own Passive Acoustic Monitoring (PAM) projects.

Connor Wood (BirdNET Ecology Lead)

• Designing your surveys 
• Conceptualizing surveys and interpreting bird observations 
• Example of using BirdNET-derived observations of one bird species for applied ecological research  
• Example of using BirdNET for many bird species
• Example of using BirdNET for two amphibians 
• Example of using BirdNET for wolves and coyotes 
• Example of using BirdNET for one primate (with some sample code for basic occupancy modeling)

BirdNET Team

• BirdNET: A deep learning solution for avian diversity monitoring (Kahl et al, 2021)
• Guidelines for appropriate use of BirdNET scores and other detector outputs (Wood and Kahl, 2023)
• Deep learning algorithm outperforms experienced human observer at detection of blue whale D-calls: a double-observer analysis (Miller et al, 2022)
• Feature embeddings from large-scale acoustic bird classifiers enable few-shot transfer learning