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Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments

  • Cynthia Rosenzweig
  • , Alex C. Ruane
  • , John Antle
  • , Joshua Elliott
  • , Muhammad Ashfaq
  • , Ashfaq Ahmad Chatta
  • , Frank Ewert
  • , Christian Folberth
  • , Ibrahima Hathie
  • , Petr Havlik
  • , Gerrit Hoogenboom
  • , Hermann Lotze-Campen
  • , Dilys S. MacCarthy
  • , Daniel Mason-D'Croz
  • , Erik Mencos Contreras
  • , Christoph Müller
  • , Ignacio Perez-Dominguez
  • , Meridel Phillips
  • , Cheryl Porter
  • , Rubi M. Raymundo
  • Ronald D. Sands, Carl Friedrich Schleussner, Roberto O. Valdivia, Hugo Valin, Keith Wiebe
  • NASA GISS
  • Columbia University
  • Oregon State University
  • The University of Chicago
  • University of Agriculture Faisalabad
  • University of Bonn
  • Leibniz Centre for Agricultural Landscape Research (ZALF)
  • International Institute for Applied Systems Analysis, Laxenburg
  • Initiative Prospective Agricole et Rurale (IPAR)
  • University of Florida
  • Potsdam-Institut fur Klimafolgenforschung eV
  • Humboldt University of Berlin
  • International Food Policy Research Institute
  • CSIRO
  • European Commission Joint Research Centre Institute
  • USDA Economic Research Service
  • Climate Analytics

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)

Abstract

The Agricultural Model Intercomparison and Improvement Project (AgMIP) has developed novel methods for Coordinated Global and Regional Assessments (CGRA) of agriculture and food security in a changing world. The present study aims to perform a proof of concept of the CGRA to demonstrate advantages and challenges of the proposed framework. This effort responds to the request by the UN Framework Convention on Climate Change (UNFCCC) for the implications of limiting global temperature increases to 1.5°C and 2.0°C above pre-industrial conditions. The protocols for the 1.5°C/2.0°C assessment establish explicit and testable linkages across disciplines and scales, connecting outputs and inputs from the Shared Socio-economic Pathways (SSPs), Representative Agricultural Pathways (RAPs), Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) and Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble scenarios, global gridded crop models, global agricultural economics models, site-based crop models and within-country regional economics models. The CGRA consistently links disciplines, models and scales in order to track the complex chain of climate impacts and identify key vulnerabilities, feedbacks and uncertainties in managing future risk. CGRA proof-of-concept results show that, at the global scale, there are mixed areas of positive and negative simulated wheat and maize yield changes, with declines in some breadbasket regions, at both 1.5°C and 2.0°C. Declines are especially evident in simulations that do not take into account direct CO2 effects on crops. These projected global yield changes mostly resulted in increases in prices and areas of wheat and maize in two global economics models. Regional simulations for 1.5°C and 2.0°C using site-based crop models had mixed results depending on the region and the crop. In conjunction with price changes from the global economics models, productivity declines in the Punjab, Pakistan, resulted in an increase in vulnerable households and the poverty rate. This article is part of the theme issue 'The Paris Agreement: understanding the physical and social challenges for a warming world of 1.5°C above pre-industrial levels'.

Original languageEnglish
Article number20160455
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume376
Issue number2119
DOIs
Publication statusPublished - 13 May 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • 1.5°C agricultural impacts
  • Agricultural Model Intercomparison and Improvement Project (AgMIP)
  • Climate change
  • Interdisciplinary
  • Scales

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