Broad‐scale applications of the Raspberry Pi: A review and guide for biologists

JW Jolles - Methods in Ecology and Evolution, 2021 - Wiley Online Library
The field of biology has seen tremendous technological progress in recent years, fuelled by
the exponential growth in processing power and high‐level computing, and the rise of global …

Systematic review of machine learning methods applied to ecoacoustics and soundscape monitoring

DA Nieto-Mora, S Rodríguez-Buritica… - Heliyon, 2023 - cell.com
Soundscape ecology is a promising area that studies landscape patterns based on their
acoustic composition. It focuses on the distribution of biotic and abiotic sounds at different …

Using acoustic indices in ecology: Guidance on study design, analyses and interpretation

T Bradfer‐Lawrence, C Desjonqueres… - Methods in Ecology …, 2023 - Wiley Online Library
The rise of passive acoustic monitoring and the rapid growth in large audio datasets is
driving the development of analysis methods that allow ecological inferences to be drawn …

Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests

J Müller, O Mitesser, HM Schaefer, S Seibold… - Nature …, 2023 - nature.com
Tropical forest recovery is fundamental to addressing the intertwined climate and
biodiversity loss crises. While regenerating trees sequester carbon relatively quickly, the …

[HTML][HTML] Effectiveness of acoustic indices as indicators of vertebrate biodiversity

S Allen-Ankins, DT McKnight, EJ Nordberg, S Hoefer… - Ecological …, 2023 - Elsevier
Effective monitoring tools are key for tracking biodiversity loss and informing management
intervention strategies. Passive acoustic monitoring promises to provide a cheap and …

Poor performance of acoustic indices as proxies for bird diversity in a fragmented Amazonian landscape

T Bicudo, D Llusia, M Anciães, D Gil - Ecological Informatics, 2023 - Elsevier
Biodiversity loss is rampant worldwide, particularly in tropical regions like the Amazon. In the
last decade, acoustic indices have been proposed as a rapid method for biodiversity …

Soundscape classification with convolutional neural networks reveals temporal and geographic patterns in ecoacoustic data

CA Quinn, P Burns, G Gill, S Baligar, RL Snyder… - Ecological …, 2022 - Elsevier
Interest in ecoacoustics has resulted in an influx of acoustic data and novel methodologies
to classify and relate landscape sound activity to biodiversity and ecosystem health …

Linking acoustic diversity to compositional and configurational heterogeneity in mosaic landscapes

L Barbaro, A Sourdril, JSP Froidevaux, M Cauchoix… - Landscape …, 2022 - Springer
Context There is a long-standing quest in landscape ecology for holistic biodiversity metrics
accounting for multi-taxa diversity in heterogeneous habitat mosaics. Passive acoustic …

[HTML][HTML] Hybrid bioacoustic and ecoacoustic analyses provide new links between bird assemblages and habitat quality in a winter boreal forest

T Shaw, R Hedes, A Sandstrom, A Ruete… - Environmental and …, 2021 - Elsevier
Resident birds in boreal forests can serve as indicators of habitat quality and are often
species of conservation interest, particularly in multifunctional forests also used for timber …

[HTML][HTML] Influence of recording devices and environmental noise on acoustic index scores: Implications for bird sound-based assessments

C Zhang, Y Zhang, X Zheng, X Gao, Z Hao - Ecological Indicators, 2024 - Elsevier
Passive acoustic monitoring serves as a minimally invasive and effective method for
biodiversity assessment, particularly in bird monitoring through the application of acoustic …