Results 21 to 30 of about 1,392 (228)

Interdisciplinary approaches to freshwater ecoacoustics [PDF]

open access: bronzeFreshwater Science, 2020
AbstractFreshwater ecoacoustics is an emerging field that involves underwater audio recordings to detect the presence, location, and density of species in noninvasive and unbiased ways.
Leah Barclay, Toby Gifford, Simon Linke
openalex   +3 more sources

The Use of Ecoacoustics to Monitor Soil Ecology: A Critical Review With Reference to Earthworms [PDF]

open access: hybridEuropean Journal of Soil Science, Volume 76, Issue 6, November–December 2025.
ABSTRACT The use of ecoacoustics to monitor soil ecology was identified as a priority in the 2024 horizon scan of global biological conservation issues. Proponents suggest it will have societal impacts by improving soil health assessments, enhance soil biodiversity monitoring and facilitate the conservation, remediation and management of soil ...
Jacqueline L. Stroud   +7 more
openalex   +2 more sources

Sinusoidal Modelling for Ecoacoustics [PDF]

open access: yesInterspeech 2016, 2016
Biodiversity assessment is a central and urgent task, necessary to monitoring the changes to ecological systems and under- standing the factors which drive these changes. Technological advances are providing new approaches to monitoring, which are particularly useful in remote regions. Situated within the framework of the emerging field of ecoacoustics,
Guyot, Patrice   +5 more
openaire   +2 more sources

A new method for ecoacoustics? Toward the extraction and evaluation of ecologically-meaningful soundscape components using sparse coding methods. [PDF]

open access: yesPeerJ, 2016
Passive acoustic monitoring is emerging as a promising non-invasive proxy for ecological complexity with potential as a tool for remote assessment and monitoring (Sueur and Farina, 2015). Rather than attempting to recognise species-specific calls, either
Eldridge A, Casey M, Moscoso P, Peck M.
europepmc   +5 more sources

Passive Acoustic Data as Phenological Distributions: Uncovering Signals of Temporal Ecology. [PDF]

open access: yesEcol Evol
Passive acoustic monitoring has the potential to broaden our understanding of vocal animals' annual phenological cycles throughout and beyond the breeding season. We present standardized analytical methods for quantifying vocal phenology from passive acoustic recordings processed by classification algorithms, guided by clearly articulated hypotheses ...
Clapp MK   +6 more
europepmc   +2 more sources

Predicting bird diversity through acoustic indices within the Atlantic Forest biodiversity hotspot

open access: yesFrontiers in Remote Sensing, 2023
The increasing conversion of natural areas for anthropic land use has been a major cause of habitat loss, destabilizing ecosystems and leading to a biodiversity crisis.
Lucas P. Gaspar   +10 more
doaj   +1 more source

Ecoacoustics as a novel tool for assessing pond restoration success:Results of a pilot study [PDF]

open access: yes, 2021
1. Ecoacoustics is increasingly being used to monitor species populations and to estimate biodiversity in marine ecosystems, but the underwater soundscapes of freshwater environments remain largely unexplored in this respect. Few studies exist concerning
Fisher, Tom   +3 more
core   +3 more sources

CityNet - Deep Learning Tools for Urban Ecoacoustic Assessment [PDF]

open access: gold, 2018
SUMMARYCities support unique and valuable ecological communities, but understanding urban wildlife is limited due to the difficulties of assessing biodiversity. Ecoacoustic surveying is a useful way of assessing habitats, where biotic sound measured from audio recordings is used as a proxy for biodiversity.
Alison Fairbrass   +5 more
  +5 more sources

A Convolutional Neural Network Bird Species Recognizer Built From Little Data by Iteratively Training, Detecting, and Labeling

open access: yesFrontiers in Ecology and Evolution, 2022
Automatically detecting the calls of species of interest in audio recordings is a common but often challenging exercise in ecoacoustics. This challenge is increasingly being tackled with deep neural networks that generally require a rich set of training ...
Philip Eichinski   +4 more
doaj   +1 more source

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