Science Advances

Supplementary Materials

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  • Supplementary Materials and Methods
  • Fig. S1. Distribution of 2015 industrial fishing effort by vessels flagged to nations from different income classes as measured using AIS data and convolutional neural network models.
  • Fig. S2. Distribution of 2016 industrial fishing effort (measured in fishing days) by vessels flagged to nations from different income classes as measured using AIS data and convolutional neural network models.
  • Fig. S3. Distribution of 2016 industrial fishing effort from vessels flagged to higher- and lower-income nations by high seas ocean basin derived via AIS.
  • Fig. S4. Geographic distribution of industrial fishing effort from vessels flagged to higher- and lower-income nations for 2016 derived via the AIS in all countries’ EEZ.
  • Fig. S5. Number of vessels for each World Bank income group in FAO registry compared to number of vessels detected through AIS in Global Fishing Watch’s vessel database for vessels >24 m in length.
  • Fig. S6. Distribution of 2016 industrial fishing effort (measured in fishing hours) by vessels flagged to nations from different income classes as measured using AIS data and convolutional neural network models for vessels >12 m in length.
  • Fig. S7. Distribution of 2016 industrial fishing effort (measured in fishing hours) by vessels flagged to nations from different income classes using both AIS data and Indonesian VMS data for vessels >24 m.
  • Fig. S8. Distribution of 2016 industrial fishing effort (measured in fishing hours) by vessels flagged to nations from different income classes using AIS data, Indonesian VMS data, and corrected low-income and lower middle–income fishing effort for vessels >24 m.
  • Table S1. Comparison of top 5 fishing flag states for the high seas, and all high- and low-income EEZs based on AIS-derived effort (total fish hours per fishing state) in 2016 and reconstructed catch (total metric ton caught per fishing state) in 2014 (most recent year of available data).
  • Table S2. Top 20 most active fishing flag states on the high seas in 2016.
  • Table S3. Top 20 most active fishing states across all EEZs for the year 2016 based on AIS-derived estimates of industrial fishing effort.
  • Table S4. Top 20 most active fishing states across all lower-income (lower middle income and low income) EEZs for the year 2016 based on AIS-derived estimates of industrial fishing effort.
  • Table S5. Breakdown of countries that have variably codified IMO ratified standards for use of the AIS.
  • Table S6. List of countries and other entities used in the analysis and their World Bank income group country classifications (2016).
  • Table S7. Amount of fishing effort by Indonesian vessels >24 m from Indonesian VMS data.
  • Table S8. Number of vessels >24 m in the FAO registry and detected via AIS for each lower-income country.

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