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Open Access

Correction

Correction: A spatial method to calculate small-scale fisheries effort in data poor scenarios

  • Andrew Frederick Johnson,
  • Marcia Moreno-Báez,
  • Alfredo Giron-Nava,
  • Julia Corominas,
  • Brad Erisman,
  • Exequiel Ezcurra,
  • Octavio Aburto-Oropeza
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Fig 5 appears incorrectly. Please see the corrected Fig 5 here.

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Fig 5. Relationship between predicted fishing effort (# of boats per 500 km2) and mean total annual catch.

In logarithmic form (A) and arithmetic form (B). Points represent raw data (one value per 500 km2 grid cell), solid lines are the fitted non-linear models, the dashed lines are the 95% prediction intervals of the fit, and the outer dotted lines show one standard deviation for the regression residuals. Note the funnel-shaped errors: as PFE increases so does dispersion in the data.

https://doi.org/10.1371/journal.pone.0179114.g001

Reference

  1. 1. Johnson AF, Moreno-Báez M, Giron-Nava A, Corominas J, Erisman B, Ezcurra E, et al. (2017) A spatial method to calculate small-scale fisheries effort in data poor scenarios. PLoS ONE 12(4): e0174064. https://doi.org/10.1371/journal.pone.0174064 pmid:28406918

Citation: Johnson AF, Moreno-Báez M, Giron-Nava A, Corominas J, Erisman B, Ezcurra E, et al. (2017) Correction: A spatial method to calculate small-scale fisheries effort in data poor scenarios. PLoS ONE 12(6): e0179114. https://doi.org/10.1371/journal.pone.0179114

Published: June 1, 2017

Copyright: © 2017 Johnson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.