Maps of vessel density 2013-2015 for AIS-equipped vessels, in terms of km traversed in each cell for range of vessel classes for the Australian EZ. AIS data was sourced from AMSA and subsequently processed. The density was calculated for subsets of vessels based on various characteristics such as size or vessel use/purpose. These characteristics were derived and may contain errors. See Peel et. al. (2018) for detail on the processing methods. References Australian Maritime Safety Authority (AMSA) – Custom data extraction of AIS data 2013-2015. https://www.operations.amsa.gov.au/Spatial/DataServices/DigitalData Peel, D., Smith, J.N., Erbe, C., Patterson, T., and Childerhouse, S. (2018). Quantification of risk from shipping to large marine fauna across Australia. Report to the National Environmental Science Programme, Marine Biodiversity Hub. CSIRO. 211pp. Note that this dataset was collected as part of the following project: NESP MB PROJECT C5 – QUANTIFICATION OF RISK FROM SHIPPING TO LARGE MARINE FAUNA ACROSS AUSTRALIA https://catalogue.aodn.org.au/geonetwork/srv/eng/metadata.show?uuid=5fb8766b-b3cb-4fd0-aad7-7dfcda6582a9

The relative vessel strike risk for various species (humpback whale, green turtle, dugong, seagrass locations and generic species) and selected vessel categories over the 3 year period 2013-2015. Risk is calculated from available animal distribution information ([1][2][3][4][5][6]) and vessel Automatic Information System (AIS) data (supplied by AMSA [7]). From this, two risk metrics are derived: 1) relative risk of a collision, and 2) for large whales (humpback, sperm, southern right whale): vessel speed vs mortality curves are used to obtain relative risk of a fatal collision. A more detailed description of the underlying data and the risk metrics used is given in [8]. Note that this dataset was collected as part of the following project: NESP MB PROJECT C5 – QUANTIFICATION OF RISK FROM SHIPPING TO LARGE MARINE FAUNA ACROSS AUSTRALIA https://catalogue.aodn.org.au/geonetwork/srv/eng/metadata.show?uuid=5fb8766b-b3cb-4fd0-aad7-7dfcda6582a9