Data

Expert interview data for a risk assessment of spawning aggregation fisheries

James Cook University
Robinson, Jan ; Graham, Nicholas ; Cinner, Joshua
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/28/5705E58E9520C&rft.title=Expert interview data for a risk assessment of spawning aggregation fisheries &rft.identifier=10.4225/28/5705E58E9520C&rft.publisher=James Cook University&rft.description=A predictive framework was developed for assessing risk of overfishing in spawning aggregation fisheries. The bivariate framework is based on intrinsic and extrinsic indicators, for which scales of vulnerability were developed. A global selection of fisheries was assessed by experts, who scored each indicator during interviews. This dataset contains those expert scores. Also, indicators were weighted for their importance in terms of conferring vulnerability to overfishing. Weightings are also included in the dataset. &rft.creator=Robinson, Jan &rft.creator=Graham, Nicholas &rft.creator=Cinner, Joshua &rft.date=2016&rft.relation=http://researchonline.jcu.edu.au/43786/&rft.coverage=-113.52172851289,-37.82244071533 -113.52172851289,30.638306023056 175.46264647557,30.638306023056 175.46264647557,-37.82244071533 -113.52172851289,-37.82244071533&rft_rights=Once access to the data has been obtained via negotiation with the data manager, use of the dataset is governed by the CC-BY-NC AU licence.&rft_rights=CC BY-NC: Attribution-Noncommercial 3.0 AU http://creativecommons.org/licenses/by-nc/3.0/au&rft_subject=spawning aggregation fisheries&rft_subject=fisheries management&rft_subject=vulnerability&rft_subject=overfishing&rft_subject=risk assessment&rft_subject=ARC Centre of Excellence for Coral Reef Studies&rft.type=dataset&rft.language=English Access the data
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CC BY-NC: Attribution-Noncommercial 3.0 AU
http://creativecommons.org/licenses/by-nc/3.0/au

Once access to the data has been obtained via negotiation with the data manager, use of the dataset is governed by the CC-BY-NC AU licence.

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Full description

A predictive framework was developed for assessing risk of overfishing in spawning aggregation fisheries. The bivariate framework is based on intrinsic and extrinsic indicators, for which scales of vulnerability were developed. A global selection of fisheries was assessed by experts, who scored each indicator during interviews. This dataset contains those expert scores. Also, indicators were weighted for their importance in terms of conferring vulnerability to overfishing. Weightings are also included in the dataset.

Notes

This dataset consists of a spreadsheet in MS Excel (.xlsx) and Open Document format (.ods)

Created: 2016-03-07

This dataset is part of a larger collection

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-113.52173,-37.82244 -113.52173,30.63831 175.46265,30.63831 175.46265,-37.82244 -113.52173,-37.82244

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Subjects
ARC Centre of Excellence for Coral Reef Studies | fisheries management | overfishing | risk assessment | spawning aggregation fisheries | vulnerability |

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Identifiers
  • DOI : 10.4225/28/5705E58E9520C
  • Local : researchdata.jcu.edu.au//published/6af047964565f8e0408de5364f76dedb
  • Local : f50d493d62a314b4a37ba1df1e7fde46
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