López-Sagástegui, Catalina; Aburto-Oropeza, Octavio (2017). Citizen science: Fisheries revenue 2011-2014 (Upper Gulf of California). In dataMares: Fisheries. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0ZW1J3F

The Gulf of California Marine Program at Scripps Institution of Oceanography has been working in the communities of Golfo de Santa Clara, El Indviso and San Felipe since 2009 in order to fully understand the fisheries dynamics in the region. By using technology (GPS data loggers), researchers and fishermen collaborate to generate data on how and where fishermen from these communities work. Data on fisheries catches and price are also gathered as part of the monitoring program.

The data file was released publicly on 2020-01-24. The previous title of this item was: Citizen Science Program (Trackers) Upper Gulf of California.

Inquiries should be directed to Catalina Lopez (catalina@ucr.edu)

• 2011 to 2014

• 2017

• López-Sagástegui, Catalina

• Aburto-Oropeza, Octavio
• López-Sagástegui, Catalina

• Giron-Nava, Alfredo

• Gulf of California Marine Program
• Scripps Institution of Oceanography

Net profit from gill net fishery landings was calculated using species-specific landings data recorded for each panga independently of Mexican Government data (CONAPESCA). For fishery expenditures, we only accounted for fuel costs for each gill net fishery in Santa Clara and San Felipe, which were subtracted from gross fishery profits for each species and community. Fuel costs for each fishery were based on average fuel use per trip. Fuel price and price per kilo of catch landed was based on the mean market values for October 2014. Buyer data from 2011 to 2013 (inclusive) were used to provide best and worst-case scenarios of fishing season length. This provides a mean value that can be adjusted based on the number of months that the fishery happens along the year (average, maximum and minimum season length).

Software used: Microsoft Excel; Coordinate system: WGS 1984.

• Upper Gulf of California (Mexico)

• Domain: Agricultural, veterinary and food sciences
• Domain: Biological sciences
• Domain: Environmental sciences
• Fisheries
• Trackers

• data

• English
• Spanish; Castilian

Doi: https://doi.org/10.6075/J0ZW1J3F

Creative Commons Attribution 4.0 International Public License

• UC Regents

Under copyright (US)

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2026-02-10