A5015024795- Animal Vocal Communication and Behavior
- Avian ecology and behavior
- Wildlife Ecology and Conservation
- Marine animal studies overview
- Species Distribution and Climate Change
- Animal Behavior and Reproduction
- Plant and animal studies
- Ecology and Vegetation Dynamics Studies
- Forest Insect Ecology and Management
- Bat Biology and Ecology Studies
- Amphibian and Reptile Biology
- Fish Ecology and Management Studies
- Identification and Quantification in Food
- Historical and socio-economic studies of Spain and related regions
- Linguistics and language evolution
- Environmental DNA in Biodiversity Studies
- Evolution and Genetic Dynamics
- Insect and Arachnid Ecology and Behavior
- Genetic and phenotypic traits in livestock
- Bird parasitology and diseases
- Music and Audio Processing
- Ecology and biodiversity studies
- Rangeland and Wildlife Management
- Insect and Pesticide Research
- Wildlife-Road Interactions and Conservation
Universidade Federal de Mato Grosso
2019-2025
University of Alicante
2015-2025
Universidad Autónoma de Madrid
2017-2025
Forest Science and Technology Centre of Catalonia
2022-2025
Centre d'Estudis Avançats de Blanes
2022-2025
Universitat de Girona
2021-2024
University of Göttingen
2020
Agroécologie
2020
Adam Mickiewicz University in Poznań
2018
Automated recognition software is paramount for effective passive acoustic monitoring. BirdNET a free and recently developed bird sound recognizer. I performed literature review to evaluate the current applications performance of BirdNET, which growing in popularity but has been subject few assessments, provide recommendations future studies using BirdNET. Prior research employed wide range purposes have linked detections ecological processes or real‐world monitoring schemes. Among evaluated...
Autonomous recording units have been widely used in a large number of bird studies recent years, but challenges remain estimating abundance based on acoustic monitoring. We tested whether vocal activity rate index ( VAR ; the songs per unit time for species), recorded using autonomous units, was related to population two terrestrial species, European Bee‐eater Merops apiaster and Dupont's Lark Chersophilus duponti . took recordings at sites where censuses were also carried out estimate local...
The efficient analyses of sound recordings obtained through passive acoustic monitoring (PAM) might be challenging owing to the vast amount data collected using such technique. development species-specific recognizers (e.g., deep learning) may alleviate time required for but are often difficult create. Here, we evaluate effectiveness BirdNET, a new machine learning tool freely available automated recognition and processing, correctly identifying detecting two cryptic forest bird species....
Abstract Biological invasions pose significant threats to biodiversity and ecosystem functioning. Removal of introduced species is most successful when detected early. We evaluate the effectiveness passive acoustics combined with automated recognition in detecting invasive American bullfrog ( Lithobates catesbeianus ). applied this technique two real-world monitoring programs aimed at determining optimal time day for Europe, which we recorded Belgium Italy; evaluating BirdNET (a free...
Las vocalizaciones de las aves, como cualquier otra señal acústica, se atenúan con la distancia y, por lo tanto, estructura aves degrada progresivamente. Tal degradación puede tener un impacto en capacidad programas automatizados reconocimiento señales a hora detectar e identificar correctamente aves. BirdNET es reconocedor automatizado cantos pájaros reciente creación y comúnmente empleado investigadores el público. Sin embargo, pocos estudios han evaluado su rendimiento nuestro...
Insects are the most diverse animal taxon on Earth and play a key role in ecosystem functioning. However, they often neglected by ecological surveys owing to difficulties involved monitoring this small hyper-diverse taxon. With technological advances biomonitoring analytical methods, these shortcomings may finally be addressed. Here, we performed passive acoustic at 141 sites (eight habitats) investigate insect activity Viruá National Park, Brazil. We first describe frequency range occupied...
Audio recording systems coupled with automated song recognition are commonly being used for monitoring wildlife. Recorders usually differ in cost and effectiveness, their performance may vary source distance, wind speed acoustic direction, among other factors. We here assess the cost-effectiveness of five audio considering such factors as distance singing direction. developed field tests using playback Dupont's Lark Chersophilus duponti songs from nine fixed locations at distances 1 to 256m,...
The extent and impacts of biological invasions on biodiversity are largely shaped by an array socio-economic environmental factors, which exhibit high variation among countries. Yet, a global analysis how these factors vary across countries is currently lacking. Here, we investigate five broad, country-specific indices (Governance, Trade, Environmental Performance, Lifestyle Education, Innovation) explain country-level (1) established alien species (EAS) richness eight taxonomic groups, (2)...
Machine learning tools are widely used in support of bioacoustics studies, and there numerous publications on the applicability convolutional neural networks (CNNs) to automated presence-absence detection species. However, relation between merit acoustic background modelling recognition performance needs be better understood. In this study, we investigated influence substance detector White-lored Spinetail (Synallaxis albilora). Two designs were evaluated: 152-layer ResNet with transfer a...
Passive acoustic monitoring is a reliable method to study species behaviour and ecology, enabling the discovery of activity patterns, especially in remote locations. Here, we conducted year-long recording describe annual circadian patterns vocal two African barbet species, Yellow-rumped Tinkerbird Pogoniulus bilineatus Western coryphaea. We used automated software detect vocalisations from 4893 one-hour recordings taken Cameroon. In total, obtained 31,526 Tinkerbirds 1318 Tinkerbirds....
Capsule: We describe an effective monitoring protocol for detecting wildlife presence using autonomous recording units (ARUs) under different density scenarios.Aims: To a night-time singing passerine, the Dupont's Lark Chersophilus duponti, ARUs.Methods: estimate, both simulations and field-collected data, number of devices needed to reliably detect species scenarios assess time working days ensure detection. placed between four six ARUs in three populations with bird densities. Devices were...
Steppe-birds face drastic population declines throughout Europe. The Dupont's lark Chersophilus duponti is an endangered steppe-bird species whose European distribution restricted to Spain. This scarce passerine bird could be considered 'umbrella species', since its trends may reveal the conservation status of shrub-steppes. However, for Spanish, and thus European, are unknown. In this work, we evaluated in Europe employing most recent largest compiled database date (92 populations over 12...
Abstract Passive acoustic monitoring, when coupled with automated signal recognition software, allows researchers to perform simultaneous monitoring at large spatial and temporal scales. This technique has been widely used monitor cetaceans, bats, birds, anurans but rarely applied primates. Here, we evaluated the effectiveness of passive software for detecting presence roaring behavior Black Gold Howler Monkey ( Alouatta caraya ) over a complete annual cycle one site in Brazilian Pantanal....
Open semi-natural ecosystems have been historically shaped by anthropogenic land-use, and the abandonment or intensification of these activities implied a detrimental alteration their landscapes. Extensive sheep grazing has gradually decreased during 20th century in Mediterranean steppes, triggering changes across all taxa. Here, we address effect on both arthropod biomass space use insectivorous steppe birds, using an endangered passerine as model species. We found that different groups...
<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...
Biological invasions are a major threat to biodiversity, ecosystem functioning and nature's contributions people worldwide. However, the effectiveness of invasive alien species (IAS) management measures progress toward achieving biodiversity targets remain uncertain due limited nonuniform data availability. Management success is usually assessed at local level documented in technical reports, often written languages other than English, which makes such notoriously difficult collect large...
Reversing biodiversity loss and the sustainability crisis requires approaches that explicitly consider human-nature interdependencies. Social-ecological networks (SENs), which incorporate social ecological actors entities as well their interactions, are such an approach. SENs have been applied to a range of complex issues, sustainable resource use, management ecosystem (dis-)services, collective action. However, application field invasion science has remained limited so far, despite clear...
Compared with traditional field techniques, automated and noninvasive bird monitoring such as passive acoustic monitoring, offer significant advantages. However, the extensive data collected through can be challenging to analyze may require use of machine learning algorithms for efficient processing. BirdNET is a user-friendly ready-to-use tool that recognize more than 6500 wildlife species, including several tropical species. performance in ecosystems has rarely been assessed. Here, we...