Data

Global spatial risk assessment of sharks under the footprint of fisheries

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://geo.aims.gov.au/geonetwork/geonetwork/srv/eng/search?uuid=d40fa764-62e9-4bd4-9fcd-6cb74507e9d3&rft.title=Global spatial risk assessment of sharks under the footprint of fisheries&rft.identifier=http://geo.aims.gov.au/geonetwork/geonetwork/srv/eng/search?uuid=d40fa764-62e9-4bd4-9fcd-6cb74507e9d3&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=Pelagic sharks are among the widest-ranging vertebrates, with some species exhibiting annual migrations on the ocean-basin scale, long term trans-ocean movements and/or fine-scale site fidelity to preferred shelf and open ocean areas. These behaviours could cause extensive spatial overlap with different fisheries that exploit regions ranging from coastal areas to the deep ocean. Satellite tracking data of pelagic sharks was used provide a global estimate of the extent of overlap in the use of space between sharks and industrial fisheries. Satellite-linked transmitters were deployed on tiger and whale shark at Ningaloo reef. These tags provide location estimates that are used in the analysis of movements. these data were combined with a global dataset(from multiple authors) of shark tracks from Atlantic, Indian and Pacific Oceans, together with the movements of fishing vessels in a work led by collaborators that resulted in the publications Queiroz et al. 2019 Global spatial risk assessment of sharks under the footprint of fisheries (Nature).Maintenance and Update Frequency: notPlannedStatement: Data was provided raw: location estimate with latitude and longitude, date-time, and ARGOS Location Class (associate with locational accuracy). A state-space model (Jonsen et al 2003) was apply to filter and regularise tracks prior to analyses.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2024&rft.coverage=121.99217677116395,-17.82252800773728 113.27340960502626,-21.79480999475596 112.42967247962953,-25.151356964542703 76.42966389656068,-11.010086542049605 81.2109160423279,1.8722479391543798 97.24216818809509,-0.6613166824919573 109.33592677116395,-10.179856597021123 120.02341389656068,-10.456859474163144 132.39841818809512,-8.234536362745207 132.11717247962955,-11.286319424505438 132.11717247962955,-11.286319424505438 121.99217677116395,-17.82252800773728&rft_rights= http://creativecommons.org/licenses/by-nc/3.0/au/&rft_rights=http://i.creativecommons.org/l/by-nc/3.0/au/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution-NonCommercial 3.0 Australia License&rft_rights=http://creativecommons.org/international/au/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2019). Global spatial risk assessment of sharks under the footprint of fisheries. https://apps.aims.gov.au/metadata/view/d40fa764-62e9-4bd4-9fcd-6cb74507e9d3, accessed[date-of-access].&rft_rights=Creative Commons Attribution-NonCommercial 3.0 Australia License http://creativecommons.org/licenses/by-nc/3.0/au&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2019). Global spatial risk assessment of sharks under the footprint of fisheries. https://apps.aims.gov.au/metadata/view/d40fa764-62e9-4bd4-9fcd-6cb74507e9d3, accessed[date-of-access]".

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reception@aims.gov.au
adc@aims.gov.au

Brief description

Pelagic sharks are among the widest-ranging vertebrates, with some species exhibiting annual migrations on the ocean-basin scale, long term trans-ocean movements and/or fine-scale site fidelity to preferred shelf and open ocean areas. These behaviours could cause extensive spatial overlap with different fisheries that exploit regions ranging from coastal areas to the deep ocean. Satellite tracking data of pelagic sharks was used provide a global estimate of the extent of overlap in the use of space between sharks and industrial fisheries.


Satellite-linked transmitters were deployed on tiger and whale shark at Ningaloo reef. These tags provide location estimates that are used in the analysis of movements. these data were combined with a global dataset(from multiple authors) of shark tracks from Atlantic, Indian and Pacific Oceans, together with the movements of fishing vessels in a work led by collaborators that resulted in the publications Queiroz et al. 2019 Global spatial risk assessment of sharks under the footprint of fisheries (Nature).

Lineage

Maintenance and Update Frequency: notPlanned
Statement: Data was provided raw: location estimate with latitude and longitude, date-time, and ARGOS Location Class (associate with locational accuracy).


A state-space model (Jonsen et al 2003) was apply to filter and regularise tracks prior to analyses.

Notes

Credit
Thums M (AIMS)
Credit
Ferreira, LC (AIMS)
Credit
Meekan MG (AIMS)

Modified: 13 03 2024

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121.99218,-17.82253 113.27341,-21.79481 112.42967,-25.15136 76.42966,-11.01009 81.21092,1.87225 97.24217,-0.66132 109.33593,-10.17986 120.02341,-10.45686 132.39842,-8.23454 132.11717,-11.28632 121.99218,-17.82253

104.41404104233,-11.639554512694

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oceans |

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Other Information
Queiroz, N., Humphries, N.E., Couto, A. et al. Global spatial risk assessment of sharks under the footprint of fisheries. Nature 572, 461–466 (2019). https://doi.org/10.1038/s41586-019-1444-4

doi : https://doi.org/10.1038/s41586-019-1444-4

Ferreira LC, Thums M, Meeuwig JJ, Vianna GMS, Stevens J, et al. (2015) Crossing Latitudes—Long-Distance Tracking of an Apex Predator. PLOS ONE 10(2): e0116916. https://doi.org/10.1371/journal.pone.0116916

doi : https://doi.org/10.1371/journal.pone.0116916

Online data - Ocearch

uri : https://www.ocearch.org/tracker/

Identifiers
  • global : d40fa764-62e9-4bd4-9fcd-6cb74507e9d3
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