BUSCADOR RECOLECTA

Digital.CSIC. Repositorio Institucional del CSIC

oai:digital.csic.es:10261/220615

(Rscript.R): R-script for estimating the effects of boat noise on fish movement from the detection pattern provided by a fixed array of acoustic receivers (input.RData): Example of input data for the Rscript.R (AllData): Folder containing all data (receiver detections by individual) used in our work, The datasets are suplementary materials for the article "A State-Space model to derive motorboat noise effects on fish movement from acoustic tracking data". 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 pattern 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., Marie S. Curie postdoctoral fellowship: WildFishGenes-891404 (Margarida Barcelo-Serra) Contrato postdoctoral Ramón y Cajal: RYC2018-024488-I (Josep Alós) Proyecto investigación: JSATS (grant num. PIE 202030E002) funded by the Spanish Ministry of Science and Innovation (MICINN), and the Spanish National Research Council Proyecto investigación: CLOCKS (grant num. PID2019-104940GA-I00) funded by the Spanish Ministry of Science and Innovation (MICINN), No