A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data
Abstract 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 effects on the movement of resi...
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Nature Portfolio
2021-02-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-84261-2 |
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author | Margarida Barcelo-Serra Sebastià Cabanellas Miquel Palmer Marta Bolgan Josep Alós |
author_facet | Margarida Barcelo-Serra Sebastià Cabanellas Miquel Palmer Marta Bolgan Josep Alós |
author_sort | Margarida Barcelo-Serra |
collection | DOAJ |
description | Abstract 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 effects on the movement of resident fish 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 fitted the generated tracking and noise data into our SSM and explored if the noise generated by motorboats passing at close range affected 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 fish response to the presence of passing motorboats. These findings suggest that the effects of motorboat noise on fish 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. |
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institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-12-23T03:27:50Z |
publishDate | 2021-02-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-50221c92566043b989a930ef0bcfb61c2022-12-21T18:01:48ZengNature PortfolioScientific Reports2045-23222021-02-0111111210.1038/s41598-021-84261-2A state-space model to derive motorboat noise effects on fish movement from acoustic tracking dataMargarida Barcelo-Serra0Sebastià Cabanellas1Miquel Palmer2Marta Bolgan3Josep Alós4Institut Mediterrani d’Estudis Avançats, IMEDEA (CSIC–UIB)Institut Mediterrani d’Estudis Avançats, IMEDEA (CSIC–UIB)Institut Mediterrani d’Estudis Avançats, IMEDEA (CSIC–UIB)Laboratory of Functional and Evolutionary Morphology (Freshwater and Oceanic Sciences Unit of Research), Institut de Chimie, B6c, University of LiegeInstitut Mediterrani d’Estudis Avançats, IMEDEA (CSIC–UIB)Abstract 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 effects on the movement of resident fish 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 fitted the generated tracking and noise data into our SSM and explored if the noise generated by motorboats passing at close range affected 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 fish response to the presence of passing motorboats. These findings suggest that the effects of motorboat noise on fish 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.https://doi.org/10.1038/s41598-021-84261-2 |
spellingShingle | Margarida Barcelo-Serra Sebastià Cabanellas Miquel Palmer Marta Bolgan Josep Alós A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data Scientific Reports |
title | A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data |
title_full | A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data |
title_fullStr | A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data |
title_full_unstemmed | A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data |
title_short | A state-space model to derive motorboat noise effects on fish movement from acoustic tracking data |
title_sort | state space model to derive motorboat noise effects on fish movement from acoustic tracking data |
url | https://doi.org/10.1038/s41598-021-84261-2 |
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