Bat sonar and wing morphology predict species vertical niche

Roemer, Charlotte; Coulon, Aurélie; Disca, Thierry; Bas, Yves

doi:10.1121/1.5102166

Cited by 23 publications

(20 citation statements)

References 51 publications

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“…Thus, high-flyers, which travel greater distances and which perceive background further away than other species thanks to their use of low frequencies (Dietz et al, 2009;Roemer et al, 2019), might respond more to landscape described at even greater scales than at a radius of 5,000 m. Alternatively, high-flying bats, which forage on high-flying insects, could also select their foraging grounds in a highly opportunistic way depending on nightly wind or lunar conditions that will impact the presence of insects in elevated air layers (Reynolds et al, 2017;.…”

Section: Consideration Of Guilds In the Study Of Bat Landscape Ecologymentioning

confidence: 99%

Influence of landscape and time of year on bat-wind turbines collision risks

et al. 2019

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Section: Consideration Of Guilds In the Study Of Bat Landscape Ecologymentioning

confidence: 99%

Influence of landscape and time of year on bat-wind turbines collision risks

et al. 2019

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“…Another application of BATLoc arrays could also be bat monitoring near wind turbines. Roemer et al 38 , 52 studied the vertical partitioning of bats 52 and the effects of landscape characteristics on bat collisions with turbines 38 . They used a measurement setup of two microphones to study the vertical partitioning of free-flying bats.…”

Section: Discussionmentioning

confidence: 99%

Bio-acoustic tracking and localization using heterogeneous, scalable microphone arrays

et al. 2021

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Microphone arrays are an essential tool in the field of bioacoustics as they provide a non-intrusive way to study animal vocalizations and monitor their movement and behavior. Microphone arrays can be used for passive localization and tracking of sound sources while analyzing beamforming or spatial filtering of the emitted sound. Studying free roaming animals usually requires setting up equipment over large areas and attaching a tracking device to the animal which may alter their behavior. However, monitoring vocalizing animals through arrays of microphones, spatially distributed over their habitat has the advantage that unrestricted/unmanipulated animals can be observed. Important insights have been achieved through the use of microphone arrays, such as the convergent acoustic field of view in echolocating bats or context-dependent functions of avian duets. Here we show the development and application of large flexible microphone arrays that can be used to localize and track any vocalizing animal and study their bio-acoustic behavior. In a first experiment with hunting pallid bats the acoustic data acquired from a dense array with 64 microphones revealed details of the bats’ echolocation beam in previously unseen resolution. We also demonstrate the flexibility of the proposed microphone array system in a second experiment, where we used a different array architecture allowing to simultaneously localize several species of vocalizing songbirds in a radius of 75 m. Our technology makes it possible to do longer measurement campaigns over larger areas studying changing habitats and providing new insights for habitat conservation. The flexible nature of the technology also makes it possible to create dense microphone arrays that can enhance our understanding in various fields of bioacoustics and can help to tackle the analytics of complex behaviors of vocalizing animals.

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“…This pattern is putatively linked to maximizing sound transmission at a particular location (Miller and Degn, 1981;Dabelsteen et al, 1993;Nemeth et al, 2002;Marler and Slabbekoorn, 2004;Mathevon et al, 2005;Barker and Mennill, 2009;Kirschel et al, 2009a;Sprau et al, 2012;Núñez et al, 2019), or to indirect partitioning as a result of other ecological processes (Jain and Balakrishnan, 2012;Kennedy et al, 2014;Chitnis et al, 2020). For example, competition for resources may also drive signal partitioning as a by-product (Aldridge and Rautenbach, 1987;Norberg and Rayner, 1987;Kingston et al, 2000;Kingston and Rossiter, 2004;Siemers and Schnitzler, 2004;Kirschel et al, 2009b;Mancina et al, 2012;Krishnan and Tamma, 2016;Roemer et al, 2019). On the other hand, acoustic adaptation is hypothesized to lead to convergence, where species with similar signals occupy similar regions in physical space to maximize sound transmission (Boncoraglio and Saino, 2007).…”

Section: Spatial and Temporal Dimensions Of The Acoustic Communitymentioning

confidence: 99%

Community Bioacoustics: Studying Acoustic Community Structure for Ecological and Conservation Insights

et al. 2021

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The diversity of animal acoustic signals has evolved due to multiple ecological processes, both biotic and abiotic. At the level of communities of signaling animals, these processes may lead to diverse outcomes, including partitioning of acoustic signals along multiple axes (divergent signal parameters, signaling locations, and timing). Acoustic data provides information on the organization, diversity and dynamics of an acoustic community, and thus enables study of ecological change and turnover in a non-intrusive way. In this review, we lay out how community bioacoustics (the study of acoustic community structure and dynamics), has value in ecological monitoring and conservation of diverse landscapes and taxa. First, we review the concepts of signal space, signal partitioning and their effects on the structure of acoustic communities. Next, we highlight how spatiotemporal ecological change is reflected in acoustic community structure, and the potential this presents in monitoring and conservation. As passive acoustic monitoring gains popularity worldwide, we propose that the analytical framework of community bioacoustics has promise in studying the response of entire suites of species (from insects to large whales) to rapid anthropogenic change.

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Bat sonar and wing morphology predict species vertical niche

Cited by 23 publications

References 51 publications

Influence of landscape and time of year on bat-wind turbines collision risks

Influence of landscape and time of year on bat-wind turbines collision risks

Bio-acoustic tracking and localization using heterogeneous, scalable microphone arrays

Community Bioacoustics: Studying Acoustic Community Structure for Ecological and Conservation Insights

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