FABLE Scenathon database 2019
DOI10.5281/zenodo.7969575Zenodo7969575MaRDI QIDQ6700336
Dataset published at Zenodo repository.
Marine Formentini, Adrian Monjeau, Janne Rämö, Raymundo Marcos-Martinez, Manish Anand, Jatna Supriatna, Pablo García Martinez, Brett Bryan, Michalis Hadjikakou, Fernando Orduña-Cabrera, Marcela Olguin, Natalia Buriticá, Ingo Fetzer, Andrés Peña, Ernesto Vega Peña, Michael Obersteiner, Gordon McCord, Camilo Alcantara Concepcion, Gustavo Nadal, Petr Havlík, Marcus Thomson, Nicolás di Isbroiavacca, Katya Pérezguzmán, Esther Boere, Jordan Poncet, Michiel van Dijk., Navin Ramankutty, John Chavarro, Rizaldi Boer, Andres Prieto, Pedro Laterra, Fabrice Declerck, Andre Deppermann, George Dyer, Deniz Koca, Eli Court, Sarah Jones, Hugh Charles Jonathan Godfray, Kiflu Gedefe Molla, Vladimir Potashnikov, Marcus Thomson, Nurul Winarni, Albert Manfred Brouwer, Fidèle Niyitanga, Ranjan Kumar Ghosh, Charlotte Gonzalez-Abraham, Firew Bekele Woldeyes, Frank Sperling, Hugo Valin, Vaibhav Chaturvedi, Anton Strokov, Justin Baker, José Volante, Rudolf Neubauer, Frank Sperling, Daniel Mason-D'Croz, Ginni Braich, Liviu Penescu, Aline C. Soterroni, Wanderson Costa, Guido Schmidt-Traub, Chandan Kumar Jha, Valeria Javalera Rincón, Chen Pei-Yuan, Zhao Hao, Felicitas Dorothea Beier, Aline Mosnier, Heikki Lehtonen, Jim W Hall, Irene Pisanty, Stefan Frank, Christian Folberth, Jan Philipp Dietrich, Ma Lin, Nicholas Leach, Armando Sarmiento Lopez, D. Leclere, Bai Zhaohai, Oleg Lugovoy, Sern Low Wai, Grace C. Wu, Gito Immanuel, Gerardo Bocco, Federico Frank, Paula Harrison, Jasmin Irisha Jim Ilham, Habiburrachman A H F, Francisco Lallana, Miodrag Stevanovic, Francisco Javier Navarro Garcia, Mike Grundy, Marluce Scarabello, I Putu Santikayasa, Jin Xinpeng, Antonio Yunez, Katya Pérez-Guzmán, Alexander Popp, Hermann Lotze-Campen, Francois Xavier Naramabuye, Fernando Ramos, Efraín Domínguez
Publication date: 25 May 2023
Copyright license: Creative Commons Attribution 4.0 International
This database contains key parameters and variables from the 2019 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 2019 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 2019 database: Pathways: The Current Trends (CT) pathway reflects a low-ambition future shaped by existing policies. Countries and regions: Argentina, Australia, Brazil, Canada, China, Colombia, Ethiopia, Finland, Germany, India, Indonesia, Malaysia, Mexico, Russia, Rwanda, Sweden, South Africa, the UK, and the United States and Rest of America, Rest of Asia, Rest of Central Asia, Rest of European Union, Rest of Middle East, Rest of non-European Union, Rest of Pacific. 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.
This page was built for dataset: FABLE Scenathon database 2019
