ArticleScience advances2018
Eavesdropping on the Arctic: Automated bioacoustics reveal dynamics in songbird breeding phenology.
Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- National-scale acoustic monitoring of avian biodiversity and migration.Communications biology · 2026Article
- Passive Acoustic Data as Phenological Distributions: Uncovering Signals of Temporal Ecology.Ecology and evolution · 2026Article
- Stage-Specific Impacts of Climate Change on Greater White-Fronted Geese Along the East Asian Flyway.Biology · 2025Article
- Bioacoustics as a Measure of Population Size and Breeding Success of European Storm PetrelsEcology and evolution · 2025Article
- Automatic detection for bioacoustic research: a practical guide from and for biologists and computer scientists.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Complex and highly saturated soundscapes in restored oak woodlands reflect avian richness and abundance.Oecologia · 2024Article
- Camera trapping expands the view into global biodiversity and its change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Understanding Organisms Using Ecological Observatory Networks.Integrative organismal biology (Oxford, England) · 2023Article
- Bio-acoustic tracking and localization using heterogeneous, scalable microphone arrays.Communications biology · 2021Article
- Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers.PloS one · 2020Article
- Robust sound event detection in bioacoustic sensor networks.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioacoustic networks could vastly expand the coverage of wildlife monitoring to complement satellite observations of climate and vegetation. This approach would enable global-scale understanding of how climate change influences phenomena such as migratory timing of avian species. The enormous data sets that autonomous recorders typically generate demand automated analyses that remain largely undeveloped. We devised automated signal processing and machine learning approaches to estimate dates on which songbird communities arrived at arctic breeding grounds. Acoustically estimated dates agreed well with those determined via traditional surveys and were strongly related to the landscape's snow-free dates. We found that environmental conditions heavily influenced daily variation in songbird vocal activity, especially before egg laying. Our novel approaches demonstrate that variation in avian migratory arrival can be detected autonomously. Large-scale deployment of this innovation in wildlife monitoring would enable the coverage necessary to assess and forecast changes in bird migration in the face of climate change.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.