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Povzetek: A dataset accompanying the publication Janža R. et al. (2024): Vibrational noise disrupts Nezara viridula communication, irrespective of spectral overlap. Communications Biology 7:1533, https://doi.org/10.1038/s42003-024-07185-3. Contains raw data (where appropriate) and data extracted from audio/video files, and custom code for processing in Matlab (*.m files) and R (*.rmd file)[.] Original audio and video recordings from which measurements were made are available on request from the authors.
Ključne besede: biotremology, vibrational noise, bed bugs, sexual behavior, data
Objavljeno v DiRROS: 27.10.2025; Ogledov: 200; Prenosov: 313
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Povzetek: High-speed camera (video files) and laser vibrometer (audio files) recordings of Cacopsylla pyrisuga males producing vibrational signals - a dataset accompanying the publication Polajnar J., Kvinikadze E., Harley A.W., Malenovský I. (2024) Wing buzzing as a mechanism for generating vibrational signals in psyllids (Hemiptera: Psylloidea). Insect Science. See the publication for details about the methodology used. The dataset additionaly includes tracked points at wing and abdomen tips from two videos, and an R script with instructions to read this data.
Ključne besede: biotremology, vibrational signals, jumping plant-lice, tremulation, data
Objavljeno v DiRROS: 27.10.2025; Ogledov: 179; Prenosov: 68
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Povzetek: In ihrer kürzlich erschienenen Arbeit (Davranoglou et al. 2019) untersuchten die Autoren an lebenden Exemplaren von Agalmatium bilobium (Issidae) mit modernsten Methoden (microCT) die Interaktionen zwischen Muskulatur und bestimmten Anteilen des Exoskeletts zur Vibrationserzeugung und beschreiben deren biomechanische Grundlage. Auf der Basis des morphologischen Vergleichs mit Museumsmaterial von Vertretern der meisten Taxa der Fulgoromorpha (Spitzkopfzikaden) im Familienrang postulieren Davranoglou et al. (2019), ein „neues und bisher übersehenes“ Organ entdeckt zu haben, das sie als „snapping organ“ bezeichnen und als charakteristisch für die Fulgoromorpha (mit Ausnahme der Delphacidae) interpretieren. Wir sehen diese Ergebnisse aus folgenden Gründen kritisch: 1. In ihrer umfassenden Übersicht zu den vibrationserzeugenden Organen der Hemiptera stellten Wessel et al. (2014) die Hypothese auf, dass sich alle bisher bekannten Strukturen zur Schall- und Vibrationserzeugung auf ein Organ zurückführen lassen, das mit hoher Wahrscheinlichkeit bei der Stammart aller Hemipteren oberhalb der Sternorrhyncha vorhanden war, und eine Synapomorphie dieses Taxons, der sog. Tymbalia (Wessel et al. 2014), darstellt. Da aufgrund der morphologischen Disparität des Organs in den einzelnen Taxa die Homologieverhältnisse schwierig zu beurteilen sind, stellten Wessel et al. (2014) Kriterien für das „Tymbal der Tymbalia“ auf. Das sogenannte „snapping organ“ erfüllt alle Kriterien dieses Tymbal-Organes. Die Einführung eines neuen Begriffes für eine bestimmte Struktur in einer langen und komplexen Kette evolutionärer Transformationen ist daher unnötig, wenn nicht sogar irreführend. Wir empfehlen daher dringend, in zukünftigen Arbeiten den Begriff „tymbalian tymbal organ with a snapping mechanism“ zu verwenden. 2. Die Grundannahme von Davranoglou et al. (2019), dass – im Gegensatz zum neu entdeckten „snapping organ“ der Fulgoromorpha – allen Cicadomorpha ein „tymbal-ähnliches Or-gan“ gemeinsam sei, ist zu stark vereinfacht und vernachlässigt die enorme Vielfalt der Ausprägungen des Tymbals bei Nicht-Singzikaden innerhalb der Cicadomorpha. In Anbetracht der verfügbaren Studien scheint es daher zweifelhaft, dass sich die vibrationserzeugenden Strukturen dreimal unabhängig voneinander entwickelt haben sollen, wie es die phylogenetische Interpretation bei Davranoglou et al. (2019: Abb. 3) suggeriert.
Ključne besede: biotremology, Hemiptera, Fulgoromorpha, tymbal, snapping organ
Objavljeno v DiRROS: 12.03.2025; Ogledov: 446; Prenosov: 414
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Povzetek: The ecological significance of vibroscape has been largely overlooked, excluding an important part of the available information from ecosystem assessment. Insects rely primarily on substrate-borne vibrational signalling in their communication, which is why the majority of terrestrial insects are excluded from passive acoustic monitoring. The ability to monitor the biological component of the natural vibroscape has been limited due to a lack of data and methods to analyse the data. In this paper, we evaluate the use of deep learning models to automatically detect and classify vibrational signals from field recordings obtained with laser vibrometry. We created a dataset of annotated vibroscape recordings of meadow habitats, containing vibrational signals categorized as pulses, harmonic signals, pulse trains, and complex signals. We compared different deep neural network architectures for the detection and classification of vibrational signals, including convolutional and transformer models. The PaSST transformer architecture, which was fine-tuned from a pre-trained checkpoint demonstrated the highest performance on all tasks, achieving an average precision of 0.79 in signal detection. For signals with more than one hour of annotated data, the classification models achieved instance-based F1-scores above 0.8, enabling automatic analysis of activity patterns. In our case study, where 24-hour field recordings were analysed, the trained models (even those with lower precision) revealed interesting activity patterns of different species. The presented study, together with the dataset we publish with this paper, lays the foundation for further analysis of the vibroscape and the development of automated methods for ecotremological monitoring that complement passive acoustic monitoring and provide a comprehensive approach to ecosystem assessment.
Ključne besede: vibroscape, ecotremology, deep learning, automatic classification, biotremology, insects, zoology, laser vibrometry, ecosystem assessment
Objavljeno v DiRROS: 21.01.2025; Ogledov: 624; Prenosov: 339
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Povzetek: Due to human perceptional bias in favor of air-borne sounds, substrate-borne vibrational signaling has been traditionally regarded as a highly specialized, inherently short-range and, consequently, a private communication channel, free from eavesdropping by sexual competitors and predators. In this review, we synthesize current knowledge pertinent to the view that most animals live in a rich vibratory world, where vibrational information is available to unintended receivers. In recent years, we realized that vibrational signaling is one of the oldest and taxonomically most widespread forms of communication by mechanical waves and that receptors detecting substrate vibrations are ubiquitous. In nature, substrate vibrations are reliable source of information readily available to all members of the animal community able to detect them. Viewing vibrational communication in more relevant ecological context reveals that animals relying on substrate vibrations live in complex communication networks. Long evolutionary history of this communication channel is reflected in varied and sophisticated predator-prey interactions guided by substrate-borne vibrations. Eavesdropping and exploitation of vibrational signals used in sexual communication have been so far largely neglected; however, existing studies show that generalist arthropod predators can intercept such signals emitted by insects to obtain information about prey availability and use that information when making foraging decisions. Moreover, males which advertise themselves for longer periods than females and with vibrational signals of higher amplitude face higher predation risk. It is likely that eavesdropping and exploitation of vibrational signals are major drivers in the evolution taking place in the vibratory world and we believe that studies of interspecific interactions guided by substrate vibrations will, in the future, offer numerous opportunities to unravel mechanisms that are central to understanding behavior in general.
Ključne besede: biotremology, vibrational communication, communication network, predator-prey interactions, eavesdropping
Objavljeno v DiRROS: 06.08.2024; Ogledov: 1242; Prenosov: 971
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