Skip to main navigation Skip to search Skip to main content

Soundscape and noise exposure monitoring in a marine protected area using shipping data and time-lapse footage

  • Nathan D. Merchant
  • , Enrico Pirotta
  • , Tim R. Barton
  • , Paul M. Thompson

Research output: Chapter or section in a book/report/conference proceeding › Book chapter

9   Link opens in a new tab Citations (SciVal)

Abstract

We review recent work that developed new techniques for underwater noise assessment that integrate acoustic monitoring with automatic identification system (AIS) shipping data and time-lapse video, meteorological, and tidal data. Two sites were studied within the Moray Firth Special Area of Conservation (SAC) for bottlenose dolphins, where increased shipping traffic is expected from construction of offshore wind farms outside the SAC. Noise exposure varied markedly between the sites, and natural and anthropogenic contributions were characterized using multiple data sources. At one site, AIS-operating vessels accounted for total cumulative sound exposure (0.1–10 kHz), suggesting that noise modeling using the AIS would be feasible.

Original languageEnglish
Title of host publicationThe Effects of Noise on Aquatic Life II
Place of PublicationNew York, U. S. A.
PublisherSpringer
Pages705-712
Number of pages8
ISBN (Print)9781493929801
DOIs
Publication statusPublished - 2016

Publication series

NameAdvances in Experimental Medicine and Biology
Volume875

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Acoustic disturbance
  • Automatic identification system data
  • Marine mammals
  • Renewable energy
  • Ship noise

Fingerprint

Dive into the research topics of 'Soundscape and noise exposure monitoring in a marine protected area using shipping data and time-lapse footage'. Together they form a unique fingerprint.

Cite this