foreign-dependency-protein

This is a repository for my first chapter, where I am analyzing trends in foreign dependency for seafood consumption with respect to consumed animal proteins

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Outputs

The final data in the output folder supply_importance_wide.csv and supply_importance_long.csv, has percentage contributions that aquatic animals have towards (1) protein consumption and (2) overall food consumption. We define aquatic animals as any animal that resides in an aquatic habitat that is not a marine mammal (e.g., cephalopods, crustaceans, fish). The data leverages both the Aquatic Resource Trade in Species database (Gephart et al. 2024) and Food and Agricultural Organization Food Balance Sheets (FBS; FAO 2023; FAO 2013). With the ARTIS database, we can derive the % consumption contributing different methods (i.e, capture, aquaculture) and habitats (i.e., inland, marine) by country. With the FBS, we can derive the % proportion that aquatic animals represent a country's consumed animal protein and overall food supply. Multiplying these proportions together can produce the % contribution that aquatic animals contribute by method and by habitat towards protein and food consumption (See 01_Analysis.Rmd for calculations).

Column names

Column Name	R Data Type	Description / Values
year	int	Year in which seafood was consumed.
iso3c	character	Consuming country ISO3 code.
data_source	character	Data source that reliance data is derived from: • Old FBS – Old FAO Food Balance Sheets • New FBS – New FAO Food Balance Sheets
food_group	character	Origin that seafood/reliance is coming from: • Aquatic – aquatic animal protein sources • Terrestrial – terrestrial animal protein sources
consumption_source	character	Type of consumption source: • domestic – domestic consumption • foreign – foreign consumption
habitat	character	Habitat in which the species/species group was produced: • marine – marine organism • inland – freshwater organism • unknown – unknown habitat
protein_consumed_t	int	The direct tonnage consumed from aquatic and terrestrial sources. For aquatic sources, this will be separated by aquatic_source_prop (i.e., adding protein_consumed_t across all sourcing material would create the total aquatic consumed protein in tons). For terrestrial sources, it is just the total gotten from FAO-FBS.
method	character	Method of production: • aquaculture – produced via aquaculture • capture – wild caught • unknown – unknown production method
prop_aquatic_source	int	The proportion of seafood consumption, separated by consumption_source, habitat, and method for aquatic protein consumption.
prop_animal_protein	int	The reliance (measured in proportion) toward aquatic/terrestrial animal proteins. For aquatic proteins, this is the reliance separated by sourcing, and for terrestrial proteins, this is obtained from FAO-FBS.

Note: Terrestrial protein values are included in this data. For every value of food_group that is terrestrial, the columns consumption_source, habitat, method, and aquatic_source_prop will be NA since these only apply to aquatic products.

References

• FAO. 2013. Food Balances (-2013, old methodology and population). In: FAOSTAT. https://www.fao.org/faostat/en/#data/FBSH

• FAO. 2023. Food Balances (2010-). In: FAOSTAT. Rome. [Cited September 2023]. https://www.fao.org/faostat/en/#data/FBS

• Gephart, J.A., Agrawal Bejarano, R., Gorospe, K. et al. Globalization of wild capture and farmed aquatic foods. Nat Commun 15, 8026 (2024). https://doi.org/10.1038/s41467-024-51965-8