Results 51 to 60 of about 4,775 (196)

Acoustic indices are not useful for biodiversity research

Methods in Ecology and Evolution
Biodiversity assessment using passive acoustic monitoring has historically been challenging due to the limited availability of multi‐species acoustic detectors.
Larissa S. M. Sugai, Cathleen Balantic, Dena J. Clink, Vijay Ramesh, Stefan Kahl, Holger Klinck, Connor M. Wood   +6 more
doaj   +1 more source

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification

Integrative Zoology, EarlyView.
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang, Shipeng Hu, Hengrui Wang, Jizheng Yi, Guoxiong Zhou, Xiangyu Shen, Weixiong Peng, Zhishu Xiao, Aibin Chen   +8 more
wiley   +1 more source

The Climate Niche Pressure on the Yunnan–Guizhou Plateau Predominates the Diversification of Advertisement Calls in Frogs (Leptobrachella)

Integrative Zoology, EarlyView.
The diversification of advertisement calls is largely driven by climatic niche differentiation. Our results provide acoustic evidence for studies on ecological speciation in anurans.
Tuo Shen, Shize Li, Jing Liu, Lang Mu, Guangmei Yang, Yixin Diao, Haijun Su, Bin Wang   +7 more
wiley   +1 more source

The Effects of Noise on the Juvenile Life Stage of Crustaceans: Behavioral, Cellular, and Molecular Responses in Procambarus clarkii

Integrative Zoology, EarlyView.
Juvenile Procambarus clarkii exposed to noise exhibited behavioral changes, shifts in enzymatic activity, and altered expression of stress and immune genes. The findings highlight the sensitivity of invertebrate juveniles to anthropogenic acoustic pollution.
Maria Ceraulo, Giuseppa Buscaino, Clarissa De Vita, Aiti Vizzini, Mirella Vazzana, Elena Papale, Francesco Longo, Francesco Paolo Faraone, Manuela Mauro   +8 more
wiley   +1 more source

Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques

Remote Sensing in Ecology and Conservation
For many species at risk, monitoring challenges related to low visual detectability and elusive behavior limit the use of traditional visual surveys to collect critical information, hindering the development of sound conservation strategies.
Florence Erbs, Mike van derSchaar, Miriam Marmontel, Marina Gaona, Emiliano Ramalho, Michel André   +5 more
doaj   +1 more source

BirdNET: Automated Detection for Monitoring Critically Endangered Lemurs from the Maromizaha Forest

Integrative Zoology, EarlyView.
In this study, we evaluated the effectiveness of integrating PAM with BirdNET, a convolutional neural network originally developed for avian vocalization detection, to monitor two critically endangered lemurs, Indri indri and Varecia variegata, in Madagascar's Maromizaha rainforest.
Valeria Ferrario, Giacomo Versaci, Giulia Dall'Ava, Chiara De Gregorio, Filippo Carugati, Walter Cristiano, Valeria Torti, Jonah Ratsimbazafy, Cristina Giacoma, Marco Gamba, Daria Valente   +10 more
wiley   +1 more source

Implications of target signal choice in passive acoustic monitoring: an example of age‐ and sex‐dependent vocal repertoire use in African forest elephants (Loxodonta cyclotis)

Remote Sensing in Ecology and Conservation
Passive acoustic monitoring (PAM) is an effective remote sensing approach for sampling acoustically active animal species and is particularly useful for elusive, visually cryptic species inhabiting remote or inaccessible habitats.
Colin R. Swider, Daniela Hedwig, Peter H. Wrege, Susan E. Parks   +3 more
doaj   +1 more source

ESO: An evolutionary algorithm for efficient model reduction via automated frequency band selection in passive acoustic monitoring

Methods in Ecology and Evolution, EarlyView.
Abstract Passive acoustic monitoring (PAM) is an important tool for wildlife monitoring. Deep learning, particularly convolutional neural networks (CNNs), has become the standard approach for developing bioacoustic classifiers. However, real‐time classification remains challenging due to the high computational complexity of these models and the need ...
Lorène Jeantet, Ufuk Çakır, Joel Lontsi, Albert Agisha, Emmanuel Dufourq   +4 more
wiley   +1 more source

Contrastive ecoacoustic indices: Large‐scale global soundscape characterization with contrastive inference

Methods in Ecology and Evolution, EarlyView.
Abstract Ecoacoustics mainly aims at monitoring soundscapes by means of non‐invasive protocols. Despite the widespread adoption of machine and deep learning techniques, existing ecoacoustic models predominantly rely on supervised learning and, consequently, face two primary limitations: (1) the necessity of annotated data; and (2) the restriction to ...
Yann Teytaut, Sylvain Haupert, Lorenzo Dubois, Ludovic Crochard, Frédéric Azémar, Ángel G. Guevara, Patricia Balaresque, Jérôme Sueur   +7 more
wiley   +1 more source

A brief analysis of progress in mantis shrimp bioacoustics [PDF]

Arthropods
The historical study of bioacoustics of mantis shrimp (Stomatopoda) is used as an example for the progress made in the study of bioacoustics in general. In the preceding 139 years biologists have published 80 manuscripts documenting the acoustics of the ...
John A. Fornshell
doaj