Article (Scientific journals)
A state‑space model to derive motorboat noise efects on fsh movement from acoustic tracking data
Barcelo‑Serra, Margarida; Cabanellas, Sebastia; Palmer, Miquel et al.
2021In Scientific Reports, 11, p. 4765
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Abstract :
[en] Motorboat noise is recognized as a major source of marine pollution, however little is known about its ecological consequences on coastal systems. We developed a State Space Model (SSM) that incorporates an explicit dependency on motorboat noise to derive its efects on the movement of resident fsh that transition between two behavioural states (swimming vs. hidden). To explore the performance of our model, we carried out an experiment where free-living Serranus scriba were tracked with acoustic tags, while motorboat noise was simultaneously recorded. We ftted the generated tracking and noise data into our SSM and explored if the noise generated by motorboats passing at close range afected the movement pattern and the probability of transition between the two states using a Bayesian approach. Our results suggest high among individual variability in movement patterns and transition between states, as well as in fsh response to the presence of passing motorboats. These fndings suggest that the efects of motorboat noise on fsh movement are complex and require the precise monitoring of large numbers of individuals. Our SSM provides a methodology to address such complexity and can be used for future investigations to study the effects of noise pollution on marine fish
Disciplines :
Aquatic sciences & oceanology
Author, co-author :
Barcelo‑Serra, Margarida
Cabanellas, Sebastia
Palmer, Miquel
Bolgan, Marta ;  Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Morphologie fonctionnelle et évolutive
Alos, Josep
Language :
English
Title :
A state‑space model to derive motorboat noise efects on fsh movement from acoustic tracking data
Publication date :
2021
Journal title :
Scientific Reports
eISSN :
2045-2322
Publisher :
Nature Publishing Group, London, United Kingdom
Volume :
11
Pages :
4765
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 07 May 2021

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