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A database of mapped global fishing activity 1950-2017.
Rousseau, Yannick; Blanchard, Julia L; Novaglio, Camilla; Pinnell, Kirsty A; Tittensor, Derek P; Watson, Reg A; Ye, Yimin.
Afiliación
  • Rousseau Y; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia. yannick.rousseau@utas.edu.au.
  • Blanchard JL; Department of Biology, Dalhousie University, Halifax, NS, Canada. yannick.rousseau@utas.edu.au.
  • Novaglio C; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia. julia.blanchard@utas.edu.au.
  • Pinnell KA; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.
  • Tittensor DP; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.
  • Watson RA; Department of Biology, Dalhousie University, Halifax, NS, Canada.
  • Ye Y; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.
Sci Data ; 11(1): 48, 2024 Jan 08.
Article en En | MEDLINE | ID: mdl-38191576
ABSTRACT
A new database on historical country-level fishing fleet capacity and effort is described, derived from a range of publicly available sources that were harmonized, converted to fishing effort, and mapped to 30-min spatial cells. The resulting data is comparable with widely used but more temporally-limited satellite-sourced Automatic Identification System (AIS) datasets for large vessels, while also documenting important smaller fleets and artisanal segments. It ranges from 1950 to 2017, and includes information on number of vessels, engine power, gross tonnage, and nominal effort, categorized by vessel length, gear type and targeted functional groups. The data can be aggregated to Large Marine Ecosystem, region and/or fishing country scales and provides a temporally and spatially explicit source for fishing effort and fleet capacity for studies aimed at understanding the implications of long-term changes in fishing activity in the global ocean.

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: Australia