The sound of restored soil: Measuring soil biodiversity in a forest restoration chronosequence with ecoacoustics

Robinson, Jake M.; Breed, Martin F.; Abrahams, Carlos

doi:10.1101/2023.01.23.525240

Cited by 5 publications

(2 citation statements)

References 89 publications

(107 reference statements)

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“…This ecoacoustic approach can record the sounds of meso-and macrofauna which index numerous microhabitat acoustic features of soil biota health, such as a greater ratio of high-to low-frequency sounds and acoustic diversity. The fact that different soil acoustic ecologies correspond to divergent soil ecosystem health is a promising approach to understand and more easily detect ecological perturbations (Robinson et al, 2023).…”

Section: The Case Of Alarm Callsmentioning

confidence: 99%

The Musical Turn in Biosemiotics

Slayton

Hendlin

2023

Biosemiotics

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Human music and language are two systems of communication and expression that, while historically considered to overlap, have become increasingly divergent in their approach and study. Music and language almost certainly co-evolved and emerged from the same semiotic field, and this relationship as well as co-origin are actively researched and debated. For the sake of evaluating the semiotic content of zoomusicology, we investigate music from a ‘bottom-up’ biosemiotic functionalist account considering iconic, indexical, and symbolic forms of meaning not in a hierarchy but according to their effects on agents. Such an approach avoids overintellectualizing the representational aspects of music, and instead inverts, as it were, the traditional hierarchy of semiotic categories to produce illocutionary effects. Understanding aesthetics and action not as a priori separate but rather fundamentally co-arising elements of the same events. The focus of musicality again returns to interpretation and how semiosis precipitates expression.

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Section: The Case Of Alarm Callsmentioning

confidence: 99%

The Musical Turn in Biosemiotics

Slayton

Hendlin

2023

Biosemiotics

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“…Despite being apparently well-suited to the task, ecoacoustic analytical techniques have rarely been used to monitor soundscape dynamics below the ground. Only four studies have used soundscapes to compare soil biodiversity in different locations (Keen et al;2022, Maeder et al;, Maeder et al, 2022Robinson et al, 2023), all of which used different methodologies and equipment, and have all been conducted in temperate and polar regions. We are unaware of any studies from the tropics.…”

Section: Introductionmentioning

confidence: 99%

Listening to tropical forest soils

Metcalf,

Baccaro,

Barlow

et al. 2023

Preprint

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PAM has proven to be an effective tool for monitoring biotic soundscapes in the marine, terrestrial, and aquatic realms. Recently it has been suggested that it could also be an effective method for monitoring soil fauna, but has so far been used in only four studies in temperate and polar regions. We present the first study of soil soundscapes in tropical forests, using a novel analytical pipeline allowing for the use of in-situ recording of soundscapes with minimal soil disturbance. We found significant differences in soil soundscapes between burnt and unburnt forests and the first indications of a diel cycle in soil soundscapes. These promising results and methodological advances highlight the potential of PAM for large-scale and long-term monitoring of soil biodiversity. We use the results to discuss research priorities, including relating soil biophony to biodiversity, community structure and ecosystem functioning, and the use of appropriate hardware and analytical techniques.

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Leveraging time-based acoustic patterns for ecosystem analysis

Castro-Ospina,

Rodríguez-Marín,

López

et al. 2024

Neural Comput & Applic

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Passive acoustic monitoring (PAM) is an effective, non-intrusive method for studying ecosystems, but obtaining meaningful ecological information from its large number of audio files is challenging. In this study, we take advantage of the expected animal behavior at different times of the day (e.g., higher acoustic animal activity at dawn) and develop a novel approach to use these time-based patterns. We organize PAM data into 24-hour temporal blocks formed with sound features from a pretrained VGGish network. These features feed a 1D convolutional neural network with a class activation mapping technique that gives interpretability to its outcomes. As a result, these diel-cycle blocks offer more accurate and robust hour-by-hour information than using traditional ecological acoustic indices as features, effectively recognizing key ecosystem patterns.

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The sound of restored soil: Measuring soil biodiversity in a forest restoration chronosequence with ecoacoustics

Cited by 5 publications

References 89 publications

The Musical Turn in Biosemiotics

The Musical Turn in Biosemiotics

Listening to tropical forest soils

Leveraging time-based acoustic patterns for ecosystem analysis

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