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

Rosenzweig, C.; Ruane, A. C.; Antle, J.; Elliott, J.; Ashfaq, M.; Chatta, A. A.; Ebert, F.; Folberth, C.; Hathie, I.; Havlik, P.; Hoogenboom, G.; Lotze-Campen, Hermann; MacCarthy, D. S.; Mason-D'Croz, D.; Mencos Contreras, E.; Müller, Christoph; Perez-Dominguez, I.; Phillips, M.; Porter, C.; Raymundo, R. M.; Sands, R. D.; Schleussner, Carl-Friedrich; Valdivia, R. O.; Valin, H.; Wiebe, K.

doi:10.1098/rsta.2016.0455

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

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

Authors

Rosenzweig, C.
External Organizations;

Ruane, A. C.
External Organizations;

Antle, J.
External Organizations;

Elliott, J.
External Organizations;

Ashfaq, M.
External Organizations;

Chatta, A. A.
External Organizations;

Ebert, F.
External Organizations;

Folberth, C.
External Organizations;

Hathie, I.
External Organizations;

Havlik, P.
External Organizations;

Hoogenboom, G.
External Organizations;

/persons/resource/Lotze-Campen

Lotze-Campen, Hermann
Potsdam Institute for Climate Impact Research;

MacCarthy, D. S.
External Organizations;

Mason-D'Croz, D.
External Organizations;

Mencos Contreras, E.
External Organizations;

/persons/resource/Christoph.Mueller

Müller, Christoph
Potsdam Institute for Climate Impact Research;

Perez-Dominguez, I.
External Organizations;

Phillips, M.
External Organizations;

Porter, C.
External Organizations;

Raymundo, R. M.
External Organizations;

Sands, R. D.
External Organizations;

/persons/resource/schleussner

Schleussner, Carl-Friedrich
Potsdam Institute for Climate Impact Research;

Valdivia, R. O.
External Organizations;

Valin, H.
External Organizations;

Wiebe, K.
External Organizations;

External Ressource

No external resources are shared

Fulltext (public)

There are no public fulltexts stored in PIKpublic

Supplementary Material (public)

There is no public supplementary material available

Citation

Rosenzweig, C., Ruane, A. C., Antle, J., Elliott, J., Ashfaq, M., Chatta, A. A., Ebert, F., Folberth, C., Hathie, I., Havlik, P., Hoogenboom, G., Lotze-Campen, H., MacCarthy, D. S., Mason-D'Croz, D., Mencos Contreras, E., Müller, C., Perez-Dominguez, I., Phillips, M., Porter, C., Raymundo, R. M., Sands, R. D., Schleussner, C.-F., Valdivia, R. O., Valin, H., Wiebe, K. (2018): Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments. - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376, 20160455.
https://doi.org/10.1098/rsta.2016.0455

Cite as: https://publications.pik-potsdam.de/pubman/item/item_22021

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.