Cristian Pérez‐Granados

ORCID: 0000-0003-3247-4182
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About
Contact & Profiles
Research Areas
  • 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...

10.1111/ibi.13193 article EN cc-by-nc Ibis 2023-02-27

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...

10.1111/ibi.12728 article EN Ibis 2019-03-15

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....

10.3390/s23167176 article EN cc-by Sensors 2023-08-15

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...

10.1007/s10530-023-03244-8 article EN cc-by Biological Invasions 2024-01-25

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...

10.13157/arla.70.2.2023.sc1 article ES Ardeola 2023-05-15

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...

10.1098/rstb.2023.0112 article EN Philosophical Transactions of the Royal Society B Biological Sciences 2024-05-05

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,...

10.13157/arla.66.2.2019.ra4 article EN Ardeola 2019-05-24

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)...

10.1007/s11625-022-01166-3 article EN cc-by Sustainability Science 2022-07-20

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...

10.1080/09524622.2024.2309362 article EN Bioacoustics 2024-02-13

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...

10.1080/00063657.2018.1511682 article EN Bird Study 2018-07-03

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...

10.7717/peerj.5627 article EN cc-by PeerJ 2018-09-19

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....

10.1002/ajp.23241 article EN American Journal of Primatology 2021-02-04

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...

10.1016/j.agee.2023.108556 article EN cc-by-nc-nd Agriculture Ecosystems & Environment 2023-05-13

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....

10.1080/01584197.2024.2352380 article EN Emu - Austral Ornithology 2024-05-21
Cristian Pérez‐Granados Jon Morant Etxebarría Kevin Félix Arno Darras Oscar Humberto Marín Gómez Ivanova Claribel Orejuela Mendoza and 88 more Miguel Ángel Mohedano-Muñoz Erika Santamaría Giulia Bastianelli Alba Márquez-Rodríguez Michał Budka Gérard Bota Judit Rubio Eladio L. García de la Morena Manu Santa-Cruz Porfirio Nava Mario Fernández‐Tizón Hugo Sánchez-Mateos Adrián Barrero Juan Traba Tomasz S. Osiejuk Patrick J. Hart A Navine Alejandro González-Muñoz Carlos Barros de Araújo Gabriel Lima Medina Rosa Ingrid Maria Denóbile Torres Ana Luiza Camargo Catalano Cássio Rachid Meireles de Almeida Simões Diego Llusia Morales Manuel M.B Pablo Acebes José M. Medina N.M.D. Brown Christos Astaras Ilias Karmiris Estanislao Aguayo Navarrete Maxime Cauchoix Luc Barbaro David Funosas Dominik Arend Sandra Müller Fernando González-García Alberto González-Romero Christos Mammides Michaelangelo Pontikis Giordano Jacuzzi Julian D. Olden Sara Bombaci Gabriel Marcacci Alain Jacot Juan Pablo Zurano Elena Gangenova Diego� Varela Facundo G. Di Sallo Gustavo A. Zurita Andrey Atemasov Junior A. Tremblay Vincent Lamarre Anja Hutschenreiter Alan Monroy-Ojeda Mauricio Díaz-Vallejo Sergio Chaparro‐Herrera Robert A. Briers Renata S. Sousa‐Lima Thiago Pinheiro Walmir da Silva Alice Calvente Anamaria Dal Molin Alexandre Antonelli Svetlana S. Gogoleva Igor V. Palko Hiếu Vũ Trọng Marina H. L. Duarte Natália dos Santos Falcão Saturnino Stephanie Ribeiro Silva Ana Rainho Paula C. Lopes Karl‐Ludwig Schuchmann M Marques Ana Oliveira Nick A Littlewood Mao‐Ning Tuanmu Yi-Ru Cheng How‐Ran Chao Sebastian Kepfer‐Rojas Alfredo Aguilera Bazán Lluı́s Brotons Mariano J. Feldman Louis Imbeau Pooja Panwar Aaron S. Weed Anant Dehwal Esther Sebastián‐González

<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...

10.21203/rs.3.rs-5729784/v1 preprint EN cc-by-nc Research Square (Research Square) 2025-01-04

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...

10.3390/d17050324 article EN cc-by Diversity 2025-04-30

Abstract In recent decades, Europe has seen a notable decrease in extensive grazing by domestic livestock; endangering semi‐natural open habitats; and impacting soil, vegetation, arthropods insectivores. Despite the known ecological consequences of decline, little research explored role sheep dung influencing plant cover, arthropod biomass higher trophic levels, such as insectivorous birds. To address this gap, 3‐year study (2017–2019) was conducted Mediterranean shrub‐steppe central Spain....

10.1002/2688-8319.70024 article EN cc-by-nc-nd Ecological Solutions and Evidence 2025-04-01
Cristian Pérez‐Granados David Funosas Jon Morant O. Marín Ivanova Claribel Orejuela Mendoza and 93 more Miguel Ángel Mohedano-Muñoz Erika Santamaría Giulia Bastianelli Alba Márquez-Rodríguez Michał Budka Gérard Bota José M. De la Peña-Rubio Eladio L. García de la Morena Manuel Snata-Cruz Porfirio Nava Mario Fernández‐Tizón Hugo Sánchez.Mateos Adrián Barrero Juan Traba Tomasz S. Osiejuk Patrick J. Hart Amanda K. Navine Alejandro González-Muñoz Cid B. de Araújo Gabriel Lima Medina Rosa Ingrid Maria Denóbile Torres Ana Luiza Camargo Catalano Cláudia Simões Diego Llusia Manuel B. Morales Pablo Acebes Juan A. Medina Méndez N.M.D. Brown Christos Astaras Ilias Kamiris Estanislao de Simón Navarrete Maxime Cauchoix Luc Barbaro Dominik Arend Sandra Müeller Fernando González-García Alberto González-Romero Christos Mammides Michaelangelo Pontikis Giordano Jacuzzi Julian D. Olden Sara Bombaci Gabriel Marcacci Alain Jacot Juan Pablo Zurano Elena Gangenova Diego� Varela Facundo G. Di Sallo Gustavo A. Zurita Andrey Atemasov Junior A. Tremblay Anja Jutschrenteiter Alan Monroy-Ojeda Mauricio Díaz-Vallejo Sergio Chaparro‐Herrera Robert A. Briers Renata S. Sousa‐Lima Thiago Pinheiro Walmir da Silva Alice Calvente Anders Molin Alexandre Antonelli Svetlana S. Gogoleva Igor V. Palko Hiếu Vũ Trọng Marina H. L. Duarte Natália dos Santos Falcão Saturnino Stephanie Ribeiro Silva Ana Rainho Karl‐Ludwig Schuchmann Marinêz Isaac Marques Ana Silvia de Oliveira Tissiani Nick A. Littlewood Mao‐Ning Tuanmu Yi-Ru Cheng How‐Ran Chao Sebastian Kepfer‐Rojas Alfredo Aguilera Bazán Lluı́s Brotons Mariano L. Feldman Louis Imbeau Pooja Panwar Aaron S. Weed Anant Dehwal Alfredo Attisano Jörn Theuerkauf Dorgival Diógenes Oliveira‐Júnior Cicero Simão Lima‐Santos Carlos Salustio‐Gomes Rodrigo Paz Mauro Pichorim Eben Goodale Esther Sebastián‐González

<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....

10.21203/rs.3.rs-6633549/v1 preprint EN 2025-05-15
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