Distributed acoustic sensing reveals urban rat dynamics through environmental intelligence of dark fiber

Abstract Monitoring cryptic urban wildlife is critical for managing challenges to biodiversity, infrastructure, and public health. Here we repurpose an unused dark fiber within an active telecommunication cable, transforming it into a dense network of thousands of vibration sensors to continuously track Norway rat (Rattus norvegicus) activity. Our study focused on a 20-kilometer section of the cable, collecting vibroacoustic data from an 810-meter segment within an inaccessible urban tunnel in China over 39 days in 2021. We show that rat nightlife is shaped by the weather; their bimodal nocturnal activity was suppressed by high wind speeds, cloud cover, and temperatures exceeding their thermoneutral zone. The system also captured fine-scale individual movements and intricate social chase dynamics. Our findings demonstrate that repurposing existing fiber-optic infrastructure provides a scalable approach for high-resolution surveillance of hidden urban wildlife, offering new opportunities for urban management and sustainability.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2025-11-24
DOI
https://doi.org/10.1038/s43247-025-02904-y
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distributed acoustic sensing reveals urban rat dynamics through environmental intelligence of dark fiber

Caroline Habold, Julien Courtecuisse, Yvon Le Maho, Zhibin Zhang et al.
Communications Earth & Environment
Animal Vocal Communication and Behavior
article

Distributed acoustic sensing reveals urban rat dynamics through environmental intelligence of dark fiber

Caroline Habold, Julien Courtecuisse, Yvon Le Maho, Zhibin Zhang, Chengcheng Zhang, Bin Shi, Zheng Wang
article en

Abstract

Abstract Monitoring cryptic urban wildlife is critical for managing challenges to biodiversity, infrastructure, and public health. Here we repurpose an unused dark fiber within an active telecommunication cable, transforming it into a dense network of thousands of vibration sensors to continuously track Norway rat (Rattus norvegicus) activity. Our study focused on a 20-kilometer section of the cable, collecting vibroacoustic data from an 810-meter segment within an inaccessible urban tunnel in China over 39 days in 2021. We show that rat nightlife is shaped by the weather; their bimodal nocturnal activity was suppressed by high wind speeds, cloud cover, and temperatures exceeding their thermoneutral zone. The system also captured fine-scale individual movements and intricate social chase dynamics. Our findings demonstrate that repurposing existing fiber-optic infrastructure provides a scalable approach for high-resolution surveillance of hidden urban wildlife, offering new opportunities for urban management and sustainability.

Communications Earth & EnvironmentVol. 6(1)
Centre National de la Recherche Scientifique (FR), Chinese Academy of Sciences (CN), Hainan University (CN), Institut Pluridisciplinaire Hubert Curien (FR), Soochow University (CN), Department of Ecology and Environment of Hainan Province (CN), Institute of Zoology (CN)
Openalex Percentile: Top 67%
Animal Vocal Communication and Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Distributed acoustic sensing reveals urban rat dynamics through environmental intelligence of dark fiber — Caroline Habold, Julien Courtecuisse, et al. · Communications Earth & Environment (2025) | TGRS Research Map | TGRS