Impacts of vessel noise on red drum (Sciaenops ocellatus) spawning choruses in Saint Andrew Bay, Florida, U.S.A.
Data files
Aug 06, 2026 version files 57.49 KB
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2021_SASP_BvF.csv
2.72 KB
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2021_SASP_Daily.csv
10.62 KB
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2022_SASP_BvF.csv
2.28 KB
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2022_SASP_Daily.csv
8.54 KB
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Final_Fish_2022.csv
6.42 KB
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Fish_Final_2021.csv
6.89 KB
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Monthly_values.csv
13.63 KB
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README.md
4.62 KB
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RedDrum_Continuous.csv
1.78 KB
Abstract
Noise pollution is an increasing threat to soniferous fishes, however, research on noise pollution impacts is limited to few species and rarely studied in situ. Red Drum (Sciaenops ocellatus) is an estuarine, fishery species that choruses during spawning. We tested predictions of the hypothesis that Red Drum alter sound production in response to vessel noise. We used passive acoustic monitoring in 2021 and 2022 at an estuarine inlet and Generalized Least Squares (GLS) models to assess vessel equivalent continuous sound levels (Leq) and other abiotic parameters on Red Drum chorus Leq. GLS models of daily crepuscular choruses indicated a significant reduction of 0.05dB in Red Drum Leq in relation to every 1dB of crepuscular vessel noise in 2021 (p = 0.026). GLS models testing influence of abiotic variables and prior vessel noise, predicted reduced chorus Leq proportional to prior noise Leq: ca. 0.05dB and 0.04dB reduction for every 1dB of vessel Leq in 2021 and 2022, respectively. In some instances, Leq during vessel noise was lower than fish chorus Leq immediately prior, indicating instances when fish reduced chorus amplitude during vessel noise or fled the immediate area. In cases when Leq of vessel noise periods exceeded fish calling Leq immediately prior, it is not known if fish modulated calling amplitude because the portion of combined vessel noise and fish chorus amplitude from vessels is unknown. In peak spawning season (September-October) vessel noise was frequent, detected in >31% of recordings in both years and up to 100% of recordings on some dates. Observations of disrupted choruses and high vessel noise prevalence suggest spawning behavior may be impacted by abundant vessel noise.
Dataset DOI: 10.5061/dryad.dr7sqvbd8
Description of the data and file structure
This data was collected in order to determine if vessel noise impacted the sound production of Red Drum. This data was collected via hydrophone in St. Andrew Bay, Florida, USA
Empty cells next to dates indicated periods during recordings that were not used in analysis due to artifacts in the recordings.
Files and variables
File: 2021_SASP_BvF.csv
Description:
Variables
- Month: month of recording
- Date: date of recording
- Leq_Boat: sound level of vessel noise by evening
- Leq_Fish: sound level of fish by evening
File: 2021_SASP_Daily.csv
Description:
Variables
- Year: year
- Day_Total: day in consecutive order
- Month: month
- Day_Month: date in the month
- Day_Length: length of day
- Temp: water temperature in degree Celsius
- Moon_Rise: when moon rose
- Moon: moon illumination
- Moon_Meridian: time of moon crossing meridian
- Tide_Diff: tide differential
- Tide_H: time of high tide
- Tide_L: time of low tide
- Boat_Leq: Boat sound level estimate
- Fish_Leq: Fish sound level estimate
- BGN: Background noise estimated in the area
File: 2022_SASP_Daily.csv
Description:
Variables
Variables
- Year: year
- Day_Total: day in consecutive order
- Month: month
- Day_Month: date in the month
- Day_Length: length of day
- Temp: water temperature in degree Celsius
- Moon_Rise: when moon rose
- Moon: moon illumination
- Moon_Meridian: time of moon crossing meridian
- Tide_Diff: tide differential
- Tide_H: time of high tide
- Tide_L: time of low tide
- Boat_Leq: Boat sound level estimate
- Fish_Leq: Fish sound level estimate
- BGN: Background noise estimated in the area
File: Monthly_values.csv
Description:
Variables
- Year: year
- month : month
- date: date
- boat: number of files with boat noise
- % CP boat: percent of evening with boat noise
- files no boat: number or files without boat noise
- % CP no boat: percent of evening without boat noise
- fish count : number of files with fish sounds
- % fish no boat: percent of files without boat noise that did include fish sounds
- % CP fish: percent of evening with fish sounds
- % CP empty: percent of evening with out boat noise or fish sounds
- mask: number of files with both boat noise and fish sounds
- % CP mask: percent of evening with boat noise and fish sounds
File: 2022_SASP_BvF.csv
Description:
Variables
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Month: month of recording
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date: date of recording
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Leq_Boat: sound level of vessel noise by evening
Leq_Fish: sound level of fish by evening
File: RedDrum_Continuous.csv
Description:
Variables
- Case: number of incident
- FishPre: pre vessel fish Leq (1 min.)
- FishPost: post vessel fish Leq (1 min.)
- FishPre_C: control Leq of fish sounds (1 min.)
- FishPost_C: control Leq of fish sounds average time from fishpre (1 min.)
- V_min: min sound level during vessel noise
- V_max: max sound level during vessel noise
- V_Leq: Leq of full vessel period
File: Final_Fish_2022.csv
Description:
Variables
- Year: year
- Month: month
- Date_Month: date in month
- Day_Total: consecutive date
- Day_Length: day length
- Temp: water temp in degree Celsius
- Moon_Rise : moon rise time
- Moon: moon illumination
- Moon_Meridian: time of moon crossing meridian
- Tide_Diff: tide differential
- Tide_H: time of high tide
- Tide_L: time of low tide
- Boat_Prior : boat Leq for 105 min. prior to fish Leq
- Fish_Final: fish Leq for 15 min. post boat Leq
File: Fish_Final_2021.csv
Description:
Variables
- Year: year
- Month: month
- Date_Month: date in month
- Day_Total: consecutive date
- Day_Length: day length
- Temp: water temp in degree Celsius
- Moon_Rise : moon rise time
- Moon: moon illumination
- Moon_Meridian: time of moon crossing meridian
- Tide_Diff: tide differential
- Tide_H: time of high tide
- Tide_L: time of low tide
- Boat_Prior : boat Leq for 105 min. prior to fish Leq
- Fish_Final: fish Leq for 15 min. post boat Leq
Code/software
R version 4.4.2 (2024-10-31 ucrt) -- "Pile of Leaves" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64
Analysis can be found in the associated manuscript.
