Results 61 to 70 of about 5,019 (213)

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  

Effect of Morphology and Spatial Distribution of Males on Vocal Identity in a Non‐Learning African Wood Dove

Integrative Zoology, EarlyView.
Emerald‐spotted Wood‐Dove songs show strong individual vocal signatures. Morphology explains little acoustic variation. Acoustic divergence increases with geographic distance between males, while local neighbor density does not influence vocal distinctiveness.
Lia Zampa, Paweł Szymański, Katarzyna Łosak, Tomasz Stanisław Osiejuk   +3 more
wiley   +1 more source

A Self-Supervised Approach for Hainan Gibbon Call Separation in Passive Acoustic Monitoring. [PDF]

Ecol Evol
The automated analysis of PAM recordings for the critically endangered Hainan gibbon (Nomascus hainanus) remains significantly challenging due to complex ambient noise and the scarcity of clean annotated datasets. We proposed MC‐RemixIT, a self‐supervised approach tailored for complex environments, designed to effectively separate Hainan gibbon calls ...
Zi J, Xu N, Dong Y, Xia Y, Wang W, Chen F.   +5 more
europepmc   +2 more sources

Bacpipe: A Python package to make bioacoustic deep learning models accessible

Methods in Ecology and Evolution, EarlyView.
Abstract Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated the analysis of large portions of this data. While new models advance the state‐of‐the‐art, accessing them using tools to harness their full potential is not always ...
Vincent S. Kather, Sylvain Haupert, Burooj Ghani, Dan Stowell   +3 more
wiley   +1 more source

Identification of the enigmatic Deraniyagala’s beaked whale

iScience
Summary: It is essential to discover and identify animals in species level in the wild to achieve the collection of baseline data and benefit better understanding and conservation of the rare species.
Songhai Li, Mingming Liu, Wenzhi Lin, Lijun Dong, Mingli Lin, Hui Kang, Inge Seim   +6 more
doaj   +1 more source

WAH‐i: Optimising microphone array geometry for customised localisation accuracy

Methods in Ecology and Evolution, EarlyView.
Abstract Accurate spatial localisation of free‐flying echolocating bats is foundational for resolving fine‐scale flight and echolocation behaviour, prey interception and spatial decision‐making in natural environments. Acoustic localisation using microphone arrays is widely employed for this purpose, yet array geometries in field studies are typically ...
Ravi Umadi
wiley   +1 more source

Future of edge AI in biodiversity monitoring

Methods in Ecology and Evolution, EarlyView.
Abstract Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intelligence (AI) using AI models for data processing and selective data transfer.
Aude Vuilliomenet, Kate E. Jones, Duncan Wilson   +2 more
wiley   +1 more source

Bioacoustic Monitoring and AI Applications in Insect Pest Management

Applied Sciences
Effective monitoring of insect populations is essential for sustainable pest management and for supporting Integrated Pest Management (IPM) strategies that reduce reliance on chemical pesticides.
Ivana Majić, Helena Ereš, Ivan Plaščak, Siniša Ozimec, Vlatko Rožac, Ankica Sarajlić   +5 more
doaj   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

Soundscapes: Species Richness and Community Composition of Neotropical Atlantic Forest Avifauna

Conservation
As tropical forests become increasingly vulnerable to land use changes, fragmentation, and climate shifts, efforts to minimise species loss are essential.
Vanessa Grundy, Mariane C. Kaizer, Luiza F. Passos, Ivana Schork   +3 more
doaj   +1 more source