Ingrid Maria Denóbile Torres
A5060517786- Animal Vocal Communication and Behavior
- Marine animal studies overview
- Animal Behavior and Reproduction
- Avian ecology and behavior
- Species Distribution and Climate Change
- Diverse Musicological Studies
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Noise Effects and Management
Universidade Federal da Paraíba
2017-2024
Abstract Passive acoustic monitoring (PAM) is increasingly popular in ecological research, but recording and analyzing large amounts of data still a critical bottleneck for the long‐term multiple species. We evaluated how temporal spatial sampling effort affects species diversity estimates using set 14,045 1‐min recordings from various neotropical birds anuran communities. Our goals were to evaluate (i) daily vocal activity cycle anurans, (ii) effect structure (e.g., number minutes listened...
<title>Abstract</title> Under the current global biodiversity crisis, there is a need for automated and non-invasive monitoring techniques that are able to gather large amounts of information cost-effectively at scales. One such technique passive acoustic monitoring, which commonly coupled with automatic identification animal species based on their sound. Automated sound analyses usually require training detection algorithms. These algorithms annotated datasets mark occurrence sounds...
<title>Abstract</title> BirdNET is a popular machine learning tool for automated recognition of bird sounds. Here we evaluate how settings affect the model performance both at vocalization and species levels, using 4,225 one-minute recordings from 67 recording locations worldwide. Giving equal importance to recall precision, low confidence score threshold (0.1-0.3) appears optimal detecting vocalisations, whereas higher thresholds (around 0.5) are more suitable characterising communities....
Passive acoustic monitoring (PAM) has become increasingly popular in biodiversity. It produces large amounts of data and can provide a foundation for understanding the long-term consequences environmental degradation. However, extracting biological information from such extensive datasets be challenging requires advanced computational skills. Herein, we introduce streamlined workflow detecting signals three critically endangered birds: Cherry-throated Tanager (Nemosia rourei), Alagoas...
Acoustic signal production is affected by allometric relationships, which the larger animal, lower its call frequency. In this paper, three evolutionary acoustic hypotheses were tested: Signal-to-Noise Ratio Hypothesis (SNRH), in evolution maximizes ranges increasing signal-to-noise ratio; Stimulus Threshold (STH), range of a specific threshold; and Body Size (BSH), emission long wavelengths enabled body size. Three spectral metrics measured, Dominant Frequency (FDOM), Minimum Fundamental...
Communication among birds constitutes the foundation of social interactions, and acoustic signals should evolve based on their efficiency to convey information. We examined an Amazonian bird assemblage by testing whether vocal allometry was main driver in song evolution. expected parameters songs follow general allometric rules, as size apparatus limits vibration capacity syrinx. tested smaller species use lower than frequencies due environmental filtering examining deviations from...