RT journal article
T1 Optimization of passive acoustic bird surveys: a global assessment of BirdNET settings
A1 Funosas, David
A1 Pérez Granados, Cristian
A1 Funosas, David
A1 Morant, Jon
A1 Marín, Oscar H.
A1 Mendoza, Irene
A1 Mohedano Muñoz, Miguel A.
A1 Santamaría, Eduardo
A1 Bastianelli, Giulia
A1 Marquez Rodríguez, Alba
A1 Budka, Michał
A1 Bota, Gerard
A1 De la Peña Rubio, José M.
A1 García de la Morena, Eladio
A1 Snata Cruz, Manuel
A1 de la Nava, Pablo
A1 Fernández Tizón, Mario
A1 Sánchez Mateos, Hugo
A1 Barrero, Adrián
A1 Traba, Juan
A1 Osiejuk, Tomasz S.
A1 Hart, Patrick J
A1 Navine, Amanda K.
A1 Montoya Muñoz, Andrés F.
A1 de Araujo, Carlos B.
A1 Rosa, Gabriel L. M.
A1 Torres, Ingrid M.
A1 Catalano, Ana L.
A1 de Alameida Simões, Cassio
A1 Llusia, Diego
A1 Morales, Manuel B.
A1 Acebes, Pablo
A1 Medina, Juan A.
A1 Brown, Nicholas
A1 Astaras, Christos
A1 Kamiris, Ilias
A1 Navarrete, Eliza
A1 Cauchoix, Maxime
A1 Barbaro, Luc
A1 Arend, Dominik
A1 Müeller, Sandra
A1 González García, Fernando
A1 González Romero, Alberto
A1 Mammides, Christos
A1 Pontikis, Michaelangelo
A1 Jacuzzi, Giordano
A1 Olden, Julian D.
A1 Bombaci, Sara P.
A1 Marcacci, Gabriel
A1 Jacot, Alain
A1 Zurano, Juan P.
A1 Gangenova, Elena
A1 Varela, Diego
A1 di Sallo, Facundo
A1 Zurita, Gustavo A.
A1 Atemasov, Andrey
A1 Tremblay, Junior A.
A1 Jutschrenteiter, Anja
A1 Monroy Ojeda, Alan
A1 Díaz Vallejo, Mauricio
A1 Chaparro Herrera, Sergio
A1 Briers, Robert A.
A1 Sousa Lima, Renata
A1 Pinheiro, Thiago
A1 da Silva, Wigna C.
A1 Calvente, Alice
A1 Molin, Anamaria del
A1 Antonelli, Alexandre
A1 Gogoleva, Svetlana
A1 Palko, Igo
A1 Trong, Hiếu V.
A1 Duarte, Marina H. L.
A1 dos Santos Saturnino, Natalia
A1 Silva, Samuel R.
A1 Rainho, Ana
A1 Schuchmann, Karl L.
A1 Marques, Marinez I.
A1 de Oliveira Tissiani, Ana S.
A1 Littlewood, Nick A.
A1 Tuanmu, Mao-Ning
A1 Cheng, Yi-Ru
A1 Chao, Hsuan
A1 Kepfer Rojas, Sebastian
A1 Aguilera, Andrea L.
A1 Brotons, Lluís
A1 Feldman, Mariano L.
A1 Imbeau, Louis
A1 Panwar, Pooja
A1 Weed, Aaron S.
A1 Dehwal, Anant
A1 Attisano, Alfredo
A1 Theuerkauf, Jörn
A1 Oliveira Junior, Dorgival D.
A1 Lima Santos, Cicero S.
A1 Salustio Gomes, Carlos
A1 da Paz, Raiane C.
A1 Pichorim, Mauro
A1 Goodale, Eben
A1 Sebsatián González, Esther
A2 Biología
K1 bird monitoring
K1 convolutional neural networks
K1 machine learning
K1 novel communities
K1 passive acoustic monitoring
K1 automated detection
AB 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.
PB John Wiley and Sons Inc
SN 1474-919X
YR 2026
FD 2026
LK http://hdl.handle.net/10498/40401
UL http://hdl.handle.net/10498/40401
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026