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

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 a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2018-05, Vol.376 (2119), p.1-26
Hauptverfasser: Rosenzweig, Cynthia, Ruane, Alex C., Antle, John, Elliott, Joshua, Ashfaq, Muhammad, Chatta, Ashfaq Ahmad, Ewert, Frank, Folberth, Christian, Hathie, Ibrahima, Havlik, Petr, Hoogenboom, Gerrit, Lotze-Campen, Hermann, MacCarthy, Dilys S., Mason-D’Croz, Daniel, Contreras, Erik Mencos, Müller, Christoph, Perez-Dominguez, Ignacio, Phillips, Meridel, Porter, Cheryl, Raymundo, Rubi M., Sands, Ronald D., Schleussner, Carl-Friedrich, Valdivia, Roberto O., Valin, Hugo, Wiebe, Keith
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 26
container_issue 2119
container_start_page 1
container_title Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences
container_volume 376
creator Rosenzweig, Cynthia
Ruane, Alex C.
Antle, John
Elliott, Joshua
Ashfaq, Muhammad
Chatta, Ashfaq Ahmad
Ewert, Frank
Folberth, Christian
Hathie, Ibrahima
Havlik, Petr
Hoogenboom, Gerrit
Lotze-Campen, Hermann
MacCarthy, Dilys S.
Mason-D’Croz, Daniel
Contreras, Erik Mencos
Müller, Christoph
Perez-Dominguez, Ignacio
Phillips, Meridel
Porter, Cheryl
Raymundo, Rubi M.
Sands, Ronald D.
Schleussner, Carl-Friedrich
Valdivia, Roberto O.
Valin, Hugo
Wiebe, Keith
description 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’.
format Article
fullrecord <record><control><sourceid>jstor</sourceid><recordid>TN_cdi_jstor_primary_26600967</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26600967</jstor_id><sourcerecordid>26600967</sourcerecordid><originalsourceid>FETCH-jstor_primary_266009673</originalsourceid><addsrcrecordid>eNqFyT0KwjAYxvEgCtaPIwi5QEuStikdpSg6CA4ObuW1SUtLmkjeLt7KM3gyS3F3ev4PvxkJeJLxUORSzMeOZRKmLL4vyQqxY4xzmYqA1IVzXrUWhtY2dN9czleqYAAKVtHeKW2QQuUdIm2Me4CZwOumdXY8WIHRSGvnKY_Sz7uYWERsSkSN2Gs74IYsajCot79dk93xcCtOYYeD8-XTtz34VymkZCyXWfzPvxtgQ4o</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments</title><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><source>JSTOR Mathematics &amp; Statistics</source><creator>Rosenzweig, Cynthia ; Ruane, Alex C. ; Antle, John ; Elliott, Joshua ; Ashfaq, Muhammad ; Chatta, Ashfaq Ahmad ; Ewert, Frank ; Folberth, Christian ; Hathie, Ibrahima ; Havlik, Petr ; Hoogenboom, Gerrit ; Lotze-Campen, Hermann ; MacCarthy, Dilys S. ; Mason-D’Croz, Daniel ; Contreras, Erik Mencos ; Müller, Christoph ; Perez-Dominguez, Ignacio ; Phillips, Meridel ; Porter, Cheryl ; Raymundo, Rubi M. ; Sands, Ronald D. ; Schleussner, Carl-Friedrich ; Valdivia, Roberto O. ; Valin, Hugo ; Wiebe, Keith</creator><creatorcontrib>Rosenzweig, Cynthia ; Ruane, Alex C. ; Antle, John ; Elliott, Joshua ; Ashfaq, Muhammad ; Chatta, Ashfaq Ahmad ; Ewert, Frank ; Folberth, Christian ; Hathie, Ibrahima ; Havlik, Petr ; Hoogenboom, Gerrit ; Lotze-Campen, Hermann ; MacCarthy, Dilys S. ; Mason-D’Croz, Daniel ; Contreras, Erik Mencos ; Müller, Christoph ; Perez-Dominguez, Ignacio ; Phillips, Meridel ; Porter, Cheryl ; Raymundo, Rubi M. ; Sands, Ronald D. ; Schleussner, Carl-Friedrich ; Valdivia, Roberto O. ; Valin, Hugo ; Wiebe, Keith</creatorcontrib><description>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’.</description><identifier>ISSN: 1364-503X</identifier><identifier>EISSN: 1471-2962</identifier><language>eng</language><publisher>THE ROYAL SOCIETY</publisher><ispartof>Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2018-05, Vol.376 (2119), p.1-26</ispartof><rights>2018 The Author(s)</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26600967$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26600967$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,828,57996,58229</link.rule.ids></links><search><creatorcontrib>Rosenzweig, Cynthia</creatorcontrib><creatorcontrib>Ruane, Alex C.</creatorcontrib><creatorcontrib>Antle, John</creatorcontrib><creatorcontrib>Elliott, Joshua</creatorcontrib><creatorcontrib>Ashfaq, Muhammad</creatorcontrib><creatorcontrib>Chatta, Ashfaq Ahmad</creatorcontrib><creatorcontrib>Ewert, Frank</creatorcontrib><creatorcontrib>Folberth, Christian</creatorcontrib><creatorcontrib>Hathie, Ibrahima</creatorcontrib><creatorcontrib>Havlik, Petr</creatorcontrib><creatorcontrib>Hoogenboom, Gerrit</creatorcontrib><creatorcontrib>Lotze-Campen, Hermann</creatorcontrib><creatorcontrib>MacCarthy, Dilys S.</creatorcontrib><creatorcontrib>Mason-D’Croz, Daniel</creatorcontrib><creatorcontrib>Contreras, Erik Mencos</creatorcontrib><creatorcontrib>Müller, Christoph</creatorcontrib><creatorcontrib>Perez-Dominguez, Ignacio</creatorcontrib><creatorcontrib>Phillips, Meridel</creatorcontrib><creatorcontrib>Porter, Cheryl</creatorcontrib><creatorcontrib>Raymundo, Rubi M.</creatorcontrib><creatorcontrib>Sands, Ronald D.</creatorcontrib><creatorcontrib>Schleussner, Carl-Friedrich</creatorcontrib><creatorcontrib>Valdivia, Roberto O.</creatorcontrib><creatorcontrib>Valin, Hugo</creatorcontrib><creatorcontrib>Wiebe, Keith</creatorcontrib><title>Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments</title><title>Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences</title><description>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’.</description><issn>1364-503X</issn><issn>1471-2962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqFyT0KwjAYxvEgCtaPIwi5QEuStikdpSg6CA4ObuW1SUtLmkjeLt7KM3gyS3F3ev4PvxkJeJLxUORSzMeOZRKmLL4vyQqxY4xzmYqA1IVzXrUWhtY2dN9czleqYAAKVtHeKW2QQuUdIm2Me4CZwOumdXY8WIHRSGvnKY_Sz7uYWERsSkSN2Gs74IYsajCot79dk93xcCtOYYeD8-XTtz34VymkZCyXWfzPvxtgQ4o</recordid><startdate>20180513</startdate><enddate>20180513</enddate><creator>Rosenzweig, Cynthia</creator><creator>Ruane, Alex C.</creator><creator>Antle, John</creator><creator>Elliott, Joshua</creator><creator>Ashfaq, Muhammad</creator><creator>Chatta, Ashfaq Ahmad</creator><creator>Ewert, Frank</creator><creator>Folberth, Christian</creator><creator>Hathie, Ibrahima</creator><creator>Havlik, Petr</creator><creator>Hoogenboom, Gerrit</creator><creator>Lotze-Campen, Hermann</creator><creator>MacCarthy, Dilys S.</creator><creator>Mason-D’Croz, Daniel</creator><creator>Contreras, Erik Mencos</creator><creator>Müller, Christoph</creator><creator>Perez-Dominguez, Ignacio</creator><creator>Phillips, Meridel</creator><creator>Porter, Cheryl</creator><creator>Raymundo, Rubi M.</creator><creator>Sands, Ronald D.</creator><creator>Schleussner, Carl-Friedrich</creator><creator>Valdivia, Roberto O.</creator><creator>Valin, Hugo</creator><creator>Wiebe, Keith</creator><general>THE ROYAL SOCIETY</general><scope/></search><sort><creationdate>20180513</creationdate><title>Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments</title><author>Rosenzweig, Cynthia ; Ruane, Alex C. ; Antle, John ; Elliott, Joshua ; Ashfaq, Muhammad ; Chatta, Ashfaq Ahmad ; Ewert, Frank ; Folberth, Christian ; Hathie, Ibrahima ; Havlik, Petr ; Hoogenboom, Gerrit ; Lotze-Campen, Hermann ; MacCarthy, Dilys S. ; Mason-D’Croz, Daniel ; Contreras, Erik Mencos ; Müller, Christoph ; Perez-Dominguez, Ignacio ; Phillips, Meridel ; Porter, Cheryl ; Raymundo, Rubi M. ; Sands, Ronald D. ; Schleussner, Carl-Friedrich ; Valdivia, Roberto O. ; Valin, Hugo ; Wiebe, Keith</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-jstor_primary_266009673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rosenzweig, Cynthia</creatorcontrib><creatorcontrib>Ruane, Alex C.</creatorcontrib><creatorcontrib>Antle, John</creatorcontrib><creatorcontrib>Elliott, Joshua</creatorcontrib><creatorcontrib>Ashfaq, Muhammad</creatorcontrib><creatorcontrib>Chatta, Ashfaq Ahmad</creatorcontrib><creatorcontrib>Ewert, Frank</creatorcontrib><creatorcontrib>Folberth, Christian</creatorcontrib><creatorcontrib>Hathie, Ibrahima</creatorcontrib><creatorcontrib>Havlik, Petr</creatorcontrib><creatorcontrib>Hoogenboom, Gerrit</creatorcontrib><creatorcontrib>Lotze-Campen, Hermann</creatorcontrib><creatorcontrib>MacCarthy, Dilys S.</creatorcontrib><creatorcontrib>Mason-D’Croz, Daniel</creatorcontrib><creatorcontrib>Contreras, Erik Mencos</creatorcontrib><creatorcontrib>Müller, Christoph</creatorcontrib><creatorcontrib>Perez-Dominguez, Ignacio</creatorcontrib><creatorcontrib>Phillips, Meridel</creatorcontrib><creatorcontrib>Porter, Cheryl</creatorcontrib><creatorcontrib>Raymundo, Rubi M.</creatorcontrib><creatorcontrib>Sands, Ronald D.</creatorcontrib><creatorcontrib>Schleussner, Carl-Friedrich</creatorcontrib><creatorcontrib>Valdivia, Roberto O.</creatorcontrib><creatorcontrib>Valin, Hugo</creatorcontrib><creatorcontrib>Wiebe, Keith</creatorcontrib><jtitle>Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rosenzweig, Cynthia</au><au>Ruane, Alex C.</au><au>Antle, John</au><au>Elliott, Joshua</au><au>Ashfaq, Muhammad</au><au>Chatta, Ashfaq Ahmad</au><au>Ewert, Frank</au><au>Folberth, Christian</au><au>Hathie, Ibrahima</au><au>Havlik, Petr</au><au>Hoogenboom, Gerrit</au><au>Lotze-Campen, Hermann</au><au>MacCarthy, Dilys S.</au><au>Mason-D’Croz, Daniel</au><au>Contreras, Erik Mencos</au><au>Müller, Christoph</au><au>Perez-Dominguez, Ignacio</au><au>Phillips, Meridel</au><au>Porter, Cheryl</au><au>Raymundo, Rubi M.</au><au>Sands, Ronald D.</au><au>Schleussner, Carl-Friedrich</au><au>Valdivia, Roberto O.</au><au>Valin, Hugo</au><au>Wiebe, Keith</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments</atitle><jtitle>Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences</jtitle><date>2018-05-13</date><risdate>2018</risdate><volume>376</volume><issue>2119</issue><spage>1</spage><epage>26</epage><pages>1-26</pages><issn>1364-503X</issn><eissn>1471-2962</eissn><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’.</abstract><pub>THE ROYAL SOCIETY</pub></addata></record>
fulltext fulltext
identifier ISSN: 1364-503X
ispartof Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2018-05, Vol.376 (2119), p.1-26
issn 1364-503X
1471-2962
language eng
recordid cdi_jstor_primary_26600967
source Alma/SFX Local Collection; Free Full-Text Journals in Chemistry; JSTOR Mathematics & Statistics
title Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T23%3A15%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Coordinating%20AgMIP%20data%20and%20models%20across%20global%20and%20regional%20scales%20for%201.5%C2%B0C%20and%202.0%C2%B0C%20assessments&rft.jtitle=Philosophical%20transactions%20of%20the%20Royal%20Society%20of%20London.%20Series%20A:%20Mathematical,%20physical,%20and%20engineering%20sciences&rft.au=Rosenzweig,%20Cynthia&rft.date=2018-05-13&rft.volume=376&rft.issue=2119&rft.spage=1&rft.epage=26&rft.pages=1-26&rft.issn=1364-503X&rft.eissn=1471-2962&rft_id=info:doi/&rft_dat=%3Cjstor%3E26600967%3C/jstor%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_jstor_id=26600967&rfr_iscdi=true