Supporting figures, tables and detailed field protocol from Fine-scale movement responses of free-ranging harbour porpoises to capture, tagging and short-term noise pulses from a single airgun

• Main Authors: Beest, Floris M. Van, Teilmann, Jonas, Hermannsen, Line, Galatius, Anders, Mikkelsen, Lonnie, Sveegaard, Signe, Balle, Jeppe Dalgaard, Dietz, Rune, Nabe-Nielsen, Jacob
• Format: Text
• Language: unknown
• Published: The Royal Society 2017
• Subjects: Environmental Science; Ecology; FOS Biological sciences; 60801 Animal Behaviour; Four Harbour; Harbour porpoise
• Online Access: https://dx.doi.org/10.6084/m9.figshare.5692753.v1; https://rs.figshare.com/articles/Supporting_figures_tables_and_detailed_field_protocol_from_Fine-scale_movement_responses_of_free-ranging_harbour_porpoises_to_capture_tagging_and_short-term_noise_pulses_from_a_single_airgun/5692753/1

THE ESM consists of the following: Figure S1. Horizontal movement trajectory of four harbour porpoises exposed to short-term noise pulses from a single airgun noise in the inner Danish waters. A detailed description of harbour porpoise capture, handling, and tagging procedure. Figure S2. Overview of fieldwork protocol. Figure S3. Complete dive profile of four harbour porpoises exposed to airgun pulses in the inner Danish waters. Figure S4. Results of generalized additive mixed model (GAMM) analyses showing predicted effects of hour of the day on three horizontal movement parameters of four harbour porpoises captured in the inner Danish waters and fitted with a GPS-unit. Figure S5. Results of generalized additive mixed model (GAMM) analyses showing predicted effects of hour of the day on four vertical movement parameters of four harbour porpoises captured in the inner Danish waters, and fitted with TDR-units. Figure S6. Overview of the full dataset for each horizontal movement parameters. Figure S7. Overview of the full dataset for each vertical movement parameter. Figure S8: Overview of the temporal autocorrelation in piecewise regression model residuals of each horizontal movement parameter. Figure S9: Overview of the temporal autocorrelation in piecewise regression model residuals of each vertical movement parameter. Table S1: The mean (SE) values of breakpoints (h since release) as estimated by the best piecewise-regression models used to quantify timing of behavioural alterations in horizontal and vertical movement parameters of five harbour porpoises captured and tagged in the inner Danish waters and exposed to short-term noise pulses from a single airgun. Table S2: The coefficient (SE) of each regression line as estimated by the piecewise-regression models to quantify timing of behavioural alterations in horizontal and vertical movement parameters of five harbour porpoises captured and tagged in the inner Danish waters and exposed to short-term noise pulses from a single airgun.