Literature DB >> 28570684

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.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0174064.].

Year:  2017        PMID: 28570684      PMCID: PMC5453618          DOI: 10.1371/journal.pone.0179114

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Fig 5 appears incorrectly. Please see the corrected Fig 5 here.
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.

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.
  1 in total

1.  A spatial method to calculate small-scale fisheries effort in data poor scenarios.

Authors:  Andrew Frederick Johnson; Marcia Moreno-Báez; Alfredo Giron-Nava; Julia Corominas; Brad Erisman; Exequiel Ezcurra; Octavio Aburto-Oropeza
Journal:  PLoS One       Date:  2017-04-13       Impact factor: 3.240

  1 in total

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