Blue food demand across geographic and temporal scales.

Autor: Naylor RL; Stanford University, Stanford, CA, USA. roz@stanford.edu., Kishore A; International Food Policy Research Institute (IFPRI), New Delhi, India., Sumaila UR; University of British Columbia, Vancouver, BC, Canada., Issifu I; University of British Columbia, Vancouver, BC, Canada., Hunter BP; Stanford University, Stanford, CA, USA., Belton B; WorldFish, Bayan Lepas, Malaysia.; Michigan State University, East Lansing, MI, USA., Bush SR; Wageningen University, Wageningen, The Netherlands., Cao L; Shanghai Jiao Tong University, Shanghai, China., Gelcich S; Pontificia Universidad Católica de Chile, Santiago, Chile., Gephart JA; American University, Washington, DC, USA., Golden CD; Harvard T.H. Chan School of Public Health, Boston, MA, USA., Jonell M; Beijer Institute of Ecological Economics, The Royal Swedish Academy of Sciences, Stockholm, Sweden.; Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden.; Royal Swedish Academy of Science, Stockholm, Sweden., Koehn JZ; Stanford University, Stanford, CA, USA., Little DC; University of Stirling, Stirling, UK., Thilsted SH; WorldFish, Bayan Lepas, Malaysia., Tigchelaar M; Stanford University, Stanford, CA, USA., Crona B; Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden.; Royal Swedish Academy of Science, Stockholm, Sweden.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2021 Sep 15; Vol. 12 (1), pp. 5413. Date of Electronic Publication: 2021 Sep 15.
DOI: 10.1038/s41467-021-25516-4
Abstrakt: Numerous studies have focused on the need to expand production of 'blue foods', defined as aquatic foods captured or cultivated in marine and freshwater systems, to meet rising population- and income-driven demand. Here we analyze the roles of economic, demographic, and geographic factors and preferences in shaping blue food demand, using secondary data from FAO and The World Bank, parameters from published models, and case studies at national to sub-national scales. Our results show a weak cross-sectional relationship between per capita income and consumption globally when using an aggregate fish metric. Disaggregation by fish species group reveals distinct geographic patterns; for example, high consumption of freshwater fish in China and pelagic fish in Ghana and Peru where these fish are widely available, affordable, and traditionally eaten. We project a near doubling of global fish demand by mid-century assuming continued growth in aquaculture production and constant real prices for fish. Our study concludes that nutritional and environmental consequences of rising demand will depend on substitution among fish groups and other animal source foods in national diets.
(© 2021. The Author(s).)
Databáze: MEDLINE
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