FABLE Scenathon database 2020

This database contains key parameters and variables from the 2020 Scenathon run by the Food, Agriculture, Biodiversity, Land-Use, and Energy (FABLE) Consortium. A scenathon - a scenario marathon - is a multi-objective challenge that allows a decentralized global modeling approach with multiple models developed by different teams in the world at national and regional scales and a methodology to link them, ensuring international trade consistency and tracking collective progress towards the achievement of global sustainability targets. 

The Scenathon 2020 database includes results at the global, country, and rest of the world region levels for indicators related to food and nutrition security, land and biodiversity, GHG emissions from agriculture and land use change, and agricultural input use. It also includes key parameters that can be used to explain the results, such as the evolution of productivity and all supply and use balance items at the commodity level. It is possible to visualise some of the key results on the Scenathon dashboard.

Scope of the 2020 database:

Pathways: The Current Trends (CT) pathway reflects a low-ambition future shaped by existing policies. The Sustainable pathway identifies additional actions necessary to align national and regional pathways with global sustainability targets.

Countries and regions: Argentina, Australia, Brazil, Canada, China, Colombia, Ethiopia, Finland, Germany, India, Indonesia, Malaysia, Mexico, Norway, Russia, Rwanda, Sweden, South Africa, the UK, and the United States and the rest of the world regions Rest of Asia and Pacific, Rest of Central and South America, Rest of European Union, Rest of Europe non-EU, Rest of Sub-Saharan Africa.

Time: 2000-2050, results are provided for each five-year-time step.

Trade adjustment: results are provided before and after the trade adjustment; the total imports are balanced.

The readme worksheet provides all the relevant information on the indicators and definitions of acronyms used in the database.