@misc{10498/40401,
year = {2026},
url = {http://hdl.handle.net/10498/40401},
abstract = {BirdNET is a popular machine learning tool for automated recognition of bird sounds. However, evidence on how to optimize its settings for accurate bird monitoring remains limited. Here, we evaluate how BirdNET settings influence model performance in identifying bird vocalizations and characterizing bird communities, using 4224 1-min recordings from 67 recording locations worldwide. Giving equal importance to recall and precision, a low confidence score threshold (0.1–0.3) appears optimal for detecting bird vocalizations, whereas higher thresholds (around 0.5) are more suitable for characterizing bird communities. Based on our findings, we recommend increasing the Overlap parameter from its default value of 0 to 2 s, as this consistently improves BirdNET performance in detecting both bird vocalizations and species presence. The effect of the Sensitivity parameter varied across regions. However, a value of 0.5 maximizes global performance for community-level analyses across all confidence thresholds, and a value of 1.5 generally yields better results for vocalization-level studies, particularly at low confidence thresholds. Our findings offer practical guidance for selecting BirdNET settings in passive acoustic bird surveys, enhancing both the identification of bird vocalizations and the characterization of bird communities.},
publisher = {John Wiley and Sons Inc},
keywords = {bird monitoring},
keywords = {convolutional neural networks},
keywords = {machine learning},
keywords = {novel communities},
keywords = {passive acoustic monitoring},
keywords = {automated detection},
title = {Optimization of passive acoustic bird surveys: a global assessment of BirdNET settings},
doi = {10.1111/IBI.70013},
author = {Funosas, David and Pérez Granados, Cristian and Funosas, David and Morant, Jon and Marín, Oscar H. and Mendoza, Irene and Mohedano Muñoz, Miguel A. and Santamaría, Eduardo and Bastianelli, Giulia and Marquez Rodríguez, Alba and Budka, Michał and Bota, Gerard and De la Peña Rubio, José M. and García de la Morena, Eladio and Snata Cruz, Manuel and de la Nava, Pablo and Fernández Tizón, Mario and Sánchez Mateos, Hugo and Barrero, Adrián and Traba, Juan and Osiejuk, Tomasz S. and Hart, Patrick J and Navine, Amanda K. and Montoya Muñoz, Andrés F. and de Araujo, Carlos B. and Rosa, Gabriel L. M. and Torres, Ingrid M. and Catalano, Ana L. and de Alameida Simões, Cassio and Llusia, Diego and Morales, Manuel B. and Acebes, Pablo and Medina, Juan A. and Brown, Nicholas and Astaras, Christos and Kamiris, Ilias and Navarrete, Eliza and Cauchoix, Maxime and Barbaro, Luc and Arend, Dominik and Müeller, Sandra and González García, Fernando and González Romero, Alberto and Mammides, Christos and Pontikis, Michaelangelo and Jacuzzi, Giordano and Olden, Julian D. and Bombaci, Sara P. and Marcacci, Gabriel and Jacot, Alain and Zurano, Juan P. and Gangenova, Elena and Varela, Diego and di Sallo, Facundo and Zurita, Gustavo A. and Atemasov, Andrey and Tremblay, Junior A. and Jutschrenteiter, Anja and Monroy Ojeda, Alan and Díaz Vallejo, Mauricio and Chaparro Herrera, Sergio and Briers, Robert A. and Sousa Lima, Renata and Pinheiro, Thiago and da Silva, Wigna C. and Calvente, Alice and Molin, Anamaria del and Antonelli, Alexandre and Gogoleva, Svetlana and Palko, Igo and Trong, Hiếu V. and Duarte, Marina H. L. and dos Santos Saturnino, Natalia and Silva, Samuel R. and Rainho, Ana and Schuchmann, Karl L. and Marques, Marinez I. and de Oliveira Tissiani, Ana S. and Littlewood, Nick A. and Tuanmu, Mao-Ning and Cheng, Yi-Ru and Chao, Hsuan and Kepfer Rojas, Sebastian and Aguilera, Andrea L. and Brotons, Lluís and Feldman, Mariano L. and Imbeau, Louis and Panwar, Pooja and Weed, Aaron S. and Dehwal, Anant and Attisano, Alfredo and Theuerkauf, Jörn and Oliveira Junior, Dorgival D. and Lima Santos, Cicero S. and Salustio Gomes, Carlos and da Paz, Raiane C. and Pichorim, Mauro and Goodale, Eben and Sebsatián González, Esther},
}