BUSCADOR RECOLECTA

(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

Los datos fueron generados manualmente a través de la visualización de videos de los experimentos. Fueron introducidos en RStudio Team (2020), donde se analizaron para la obtención de los resultados.-- este conjunto de datos es original de este trabajo. No se ha usado datos de estudios preliminares.-- Datos recogidos en experimentos realizados en el Laboratorio de Investigaciones Marinas y Acuicultura (LIMIA) en Mallorca. Los individuos experimentales fueron capturados en la Bahía de Palma, Mallorca., This data set is supplementary material for the article "Types of behaviour related to aggressiveness in pearlescent fish". Animal personality has a very relevant implication in a multitude of eco-evolutionary processes. It is a topic very approached in freshwater fish, not so in marine species, because its captivity is a challenge to reproduce its natural habitat. this is the first evidence of behavioural traits in the pearly razorfish. For this, we designed experiments in the laboratory, where the experimental individuals were subjected to the mirror test—a widely used test to determine each individual's aggressiveness. By not recognizing their reflection in the mirror, fish perceive their reflection as the intrusion of another individual into their territory. Thanks to these experiments, we were able to determine each individual's aggressiveness score, finding significant differences between individuals. Differences found regardless of height, sex or individual condition. These findings suggest that this species' aggressiveness may have a genetic origin, as has been demonstrated in other species., Este trabajo ha recibido financiación del Proyecto CLOCKS I + D + i (subvención no. PID2019-104940GA-I00) financiado por el MICINN y la Agencia Estatal de Investigación, y del proyecto de investigación intramuros JSATS (subvención no. PIE202030E002) financiado por la MICINN y Consejo Nacional de Investigaciones Científicas (CSIC). Martina Martorell-Barceló contó con una beca pre doctoral FPI (ref. FPI / 2167/2018) de la Dirección General de Innovación e Investigación del Gobierno de las Illes Balears. Josep Alós ha recibido una Beca Ramón y Cajal (beca nº. RYC2018-024488-I) financiada por el Ministerio de Ciencia e Innovación (MICINN). Margarida Barcelo-Serra fue apoyada por una MSCA-IF (subvención núm. WildFishGenes-891404)., No