Software-dependent biases in the recognition of di- and tri-syllabic bird songs can create false interpretations of bird abundance and singing activity-Reference-Cited by-同舟云学术

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Software-dependent biases in the recognition of di- and tri-syllabic bird songs can create false interpretations of bird abundance and singing activity

Published:2024-03 Issue: Volume:79 Page:102397
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Goitia-Urdiain Madalen,Sauras-Yera Teresa,Llorente Gustavo A.,Pujol-Buxó Eudald

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference70 articles.

1. Do you hear what I hear? Implications of detector selection for acoustic monitoring of bats;Adams;Methods Ecol. Evol.,2012

2. Real-time bioacoustics monitoring and automated species identification;Aide;PeerJ,2013

3. Acoustic indices as proxies for biodiversity: a meta-analysis;Alcocer;Biol. Rev.,2022

4. Inferential statistics as descriptive statistics: there is no replication crisis if we don’t expect replication;Amrhein;Am. Stat.,2019

5. warbleR: an R package to streamline analysis of animal acoustic signals;Araya-Salas;Methods Ecol. Evol.,2017

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