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Caution over the use of ecological big data for conservation

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Matters Arising to this article was published on 07 July 2021

The Original Article was published on 24 July 2019

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Fig. 1: Machine-learning-classified fishing effort data (0.1° × 0.1° grid cells) used to evaluate the risk to sharks from pelagic longline and purse seine fishing in waters under Australian jurisdiction.

Data availability

The results of the manual vessel review are available on GitHub (https://github.com/alharry/sharkMA).

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Acknowledgements

We thank P. Orange and the WAFMRL Library for assistance in researching historical fishing records.

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Authors and Affiliations

  1. Fisheries & Agriculture Resource Management, Department of Primary Industries and Regional Development Western Australia, Hillarys, Western Australia, Australia

    Alastair V. Harry & J. Matias Braccini

  2. Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Murdoch, Western Australia, Australia

    Alastair V. Harry

Authors
  1. Alastair V. Harry
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  2. J. Matias Braccini
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Contributions

A.V.H. carried out the analysis and wrote the first draft. A.V.H. and J.M.B. conceived the idea, interpreted the results, and edited and revised the final manuscript.

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Correspondence to Alastair V. Harry.

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Supplementary Information

This file contains Supplementary Methods, Supplementary Figure 1, and Supplementary References.

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Harry, A.V., Braccini, J.M. Caution over the use of ecological big data for conservation. Nature 595, E17–E19 (2021). https://doi.org/10.1038/s41586-021-03463-w

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