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Regionalization of the artisan fisheries in Baja California Sur, Mexico using the social criteria of the fishing cooperatives

    1. [1] Colegio de Postgraduados

      Colegio de Postgraduados

      México

    2. [2] Universidad Nacional Autónoma de México

      Universidad Nacional Autónoma de México

      México

  • Localización: Agro Productividad, ISSN-e 2594-0252, Vol. 15, Nº. 6, 2022 (Ejemplar dedicado a: Junio), págs. 3-9
  • Idioma: inglés
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  • Resumen
    • Objective: To generate a proposal for regional categorization (regionalization) of fishing villages in Baja California Sur, Mexico, following social and economic fishing criteria.

      Design/Methodology/Approach: Socioeconomic data on fishing in Mexico are analyzed. This regionalization uses data collected in the field on the conditions of artisanal fishing cooperatives in Baja California Sur, Mexico (BCS). Subsequently a geo-referential methodology linked to a database was applied. Database was re-categorized by nominal or ordinal statistical values, as it was the case for each. ArcView 3.2 Geographic Information System (GIS) was used to obtain the geo-referenced classification. Then, a geostatistical analysis derived from the Kriging tool was applied.

      Results: We obtained a regional classification of fishing in Mexico, displayed in maps with vector data. The regionalization is of a social nature, it shows a classification of cooperation level at artisanal fishing cooperatives in the fishing towns of northern Baja California Sur (BCS).

      Limitations/Implications: The lack of socioeconomic data on fisheries in Mexico has been an important limitation to generate a more accurate regionalization of the Mexican coasts.

      Findings/Conclusions: Analyzing the social and organizational factors of fishing is necessary for the understanding of marine socio-ecosystems in Mexico. These criteria joined to the use of computer tools allowed the regional geo-located categorization of areas with similar characteristics. Whit the use of this methodology the efficiency of the use of Kriging as a multi-specific analysis tool can be verified.


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