Renata S. Sousa‐Lima

ORCID: 0000-0002-2638-1695
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About
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Research Areas
  • Marine animal studies overview
  • Animal Vocal Communication and Behavior
  • Underwater Acoustics Research
  • Animal Behavior and Reproduction
  • Primate Behavior and Ecology
  • Arctic and Antarctic ice dynamics
  • Bat Biology and Ecology Studies
  • Cephalopods and Marine Biology
  • Marine and fisheries research
  • Noise Effects and Management
  • Wildlife Ecology and Conservation
  • Ocean Acidification Effects and Responses
  • Amphibian and Reptile Biology
  • Ichthyology and Marine Biology
  • Underwater Vehicles and Communication Systems
  • Animal Ecology and Behavior Studies
  • Wildlife-Road Interactions and Conservation
  • Maritime Navigation and Safety
  • Music and Audio Processing
  • Species Distribution and Climate Change
  • Avian ecology and behavior
  • Women's cancer prevention and management
  • Marine and coastal plant biology
  • Identification and Quantification in Food
  • Hearing Loss and Rehabilitation

Universidade Federal do Rio Grande do Norte
2016-2025

Cornell University
2006-2024

Universidade Estadual de Santa Cruz
2024

Migration Institute of Australia
2022

STMicroelectronics (France)
2022

Universidade Federal de Minas Gerais
2022

Brazilian Biosciences National Laboratory
2020

Fundação Instituto de Pesca do Estado do Rio de Janeiro
2006-2012

Cornell Lab of Ornithology
2006-2010

Hydroacoustics (United States)
2006-2010

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 395:21-36 (2009) - DOI: https://doi.org/10.3354/meps08123 Management and research applications of real-time archival passive acoustic sensors over varying temporal spatial scales Sofie M. Van Parijs1,*, Chris W. Clark2, Renata S. Sousa-Lima2,3, Susan E. Parks4, Shannon Rankin5, Denise Risch1,6, Ilse C....

10.3354/meps08123 article EN Marine Ecology Progress Series 2009-06-03

Among different approaches to exploring and describing the ecological complexity of natural environments, soundscape analyses have recently provided useful proxies for understanding interpreting dynamic patterns processes in a landscape. Nevertheless, study soundscapes remains new field with no internationally accepted protocols. This work provides first guidelines monitoring three tropical areas, specifically located Atlantic Forest, Rupestrian fields, Cerrado (Brazil). Each area was...

10.1177/194008291500800117 article EN cc-by Tropical Conservation Science 2015-03-01

Abstract Consistent and well‐defined criteria for the classification measurement of humpback whale song features are essential robust comparisons between investigators. Song structure terminology has been well‐established used by many authors, though at times inconsistently. This review discusses development nomenclature describing explores potential significance often‐overlooked variation in patterns. Within hierarchical definition song, most problematic issues arise from inconsistent...

10.1111/mms.12005 article EN Marine Mammal Science 2012-11-21

Until recently, freshwater turtles were thought to be silent reptiles, neither vocalizing nor hearing very well. We recorded individuals in nature, captivity, and during interactions between adults hatchlings show that adult turtles, Podocnemis expansa, produce sounds out of the water. Sounds emitted by inside egg, open nests, river, captive conditions. Adult females producing while basking, nesting, captivity. Females river approaching responding hatchling sounds. detected 2,122 sounds,...

10.1037/a0029656 article EN Deleted Journal 2012-10-22

The application of acoustic indices is incipient and still needs validation before it can reliably characterize soundscapes monitor rapidly disappearing hot-spot areas as the Brazilian tropical savanna (Cerrado). Here we investigate which six better correlate with 24 h zoophony richness insects, anurans, birds, mammals. We sampled one minute every 30 minutes for seven days on three sites in Serra da Canastra National Park (Minas Gerais state, Brazil) extracted sonotype based recordings a...

10.22261/jea.pvh6yz article EN Journal of Ecoacoustics 2018-02-27

The social behavior of turtles during the nesting season can be attributed to a series functions such as reducing predation, increasing hatchling survivorship, and information exchange between females. However, mechanism(s) used remain in group different phases has yet explained. objective this study is document sounds produced by Giant South American River Turtle, Podocnemis expansa, period, identify how acoustic mechanisms might facilitate aggregation period. From September 2009 October...

10.1655/herpetologica-d-13-00050r2 article EN Herpetologica 2014-05-12

Acoustic communication is a way of information exchange between individuals, and it used by several animal species. Therefore, the detection, recognition correct understanding acoustic signals are key factors in effective communication. The priority effectiveness rather than perfection, being avoids affecting sound-based system One that can affect overlap time frequency during signal transmission, known as masking. type sound cause masking anthropogenic noise, which currently increasing due...

10.3389/fevo.2022.827440 article EN cc-by Frontiers in Ecology and Evolution 2022-02-28

An eight year summary of opportunistic sightings small cetaceans in Abrolhos Bank, eastern Brazil, is provided with reference to species distribution, habitat use and group size. Data were gathered from 1997 2004 during research cruises (more than 500 days sampling effort) aiming study the biology humpback whales, analyzed using a geographic information system (GIS). Dolphin identified on 151 sightings: estuarine dolphin, Sotalia guianensis – 49%; roughtoothed Steno bredanensis 16%;...

10.5597/lajam00088 article EN Latin American Journal of Aquatic Mammals 2006-06-30

There are only a few studies documenting acoustic communication in chelonians; here we provide additional evidence that sound plays an important role the interchange of information this group. We recorded 12 nests Dermochelys coriacea during March 2012 at Barra de la Cruz Beach, Oaxaca, Mexico. Four types sounds were identified from recordings after 51 d incubation; our results reinforce idea to coordinate group behavior turtles.

10.2744/ccb-1045.1 article EN Chelonian Conservation and Biology 2014-07-01

Advances in technologies for data acquisition, storage and analysis have boosted Acoustic Ecology studies, but protocols are still lacking. There is a need of more research to understand which methodologies can be applied answer ecological questions different environments with varying temporal spatial dynamics. Tropical forests generally complex than temperate ones, both terms use acoustic space species diversity. The seasonally dry tropical forest (SDTF) Brazil, known as Caatinga,...

10.1016/j.ecolind.2021.107897 article EN cc-by-nc-nd Ecological Indicators 2021-06-17

Recordings were made in nests of Eretmochelys imbricata and 107 samples 10-min recordings revealed 575 sounds that classified manually into 4 categories. Our results show hawksbill turtles vocalize within the nest, especially during after eclosion, which suggests vocalizations are important for communication among hatchlings to synchronize emergence from nest.

10.2744/ccb-1382.1 article EN Chelonian Conservation and Biology 2019-11-05
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 Lluís Brotóns 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

The "Sphyrna Odyssey 2019-2020" mission combined passive acoustic monitoring and environmental DNA (eDNA) to monitor marine mammals in the Mediterranean, focusing on areas impacted by heavy traffic. Sphyrna autonomous vessels, equipped with hydrophones, provided real-time detection of vocalizing species [1], while eDNA sampling from surface waters captured genetic traces over larger spatial areas, including busy shipping lanes [4]. Acoustic data species, detected even absence vocalizations,...

10.5194/oos2025-1479 preprint EN 2025-03-26
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 Lluís Brotóns 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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