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...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Royal Society
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/146658 |
| _version_ | 1855527729690050560 |
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| author | Rosenzweig, Cynthia Ruane, Alex C Antle, John Elliott, Joshua Ashfaq, Muhammad Mason-D'Croz, Daniel Wiebe, Keith D. |
| author_browse | Antle, John Ashfaq, Muhammad Elliott, Joshua Mason-D'Croz, Daniel Rosenzweig, Cynthia Ruane, Alex C Wiebe, Keith D. |
| author_facet | Rosenzweig, Cynthia Ruane, Alex C Antle, John Elliott, Joshua Ashfaq, Muhammad Mason-D'Croz, Daniel Wiebe, Keith D. |
| author_sort | Rosenzweig, Cynthia |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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 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. |
| format | Journal Article |
| id | CGSpace146658 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Royal Society |
| publisherStr | Royal Society |
| record_format | dspace |
| spelling | CGSpace1466582024-10-25T07:58:29Z Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments Rosenzweig, Cynthia Ruane, Alex C Antle, John Elliott, Joshua Ashfaq, Muhammad Mason-D'Croz, Daniel Wiebe, Keith D. simulation models risk management models production forecasting agricultural sector interdisciplinary research uncertainty agriculture identification land use climate change adaptation climate change mitigation food security scales crop modelling prices climate change impact assessment 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 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. 2018-04-06 2024-06-21T09:07:58Z 2024-06-21T09:07:58Z Journal Article https://hdl.handle.net/10568/146658 en Open Access Royal Society Rosenzweig, Cynthia; Ruane, Alex C; Antle, John; Elliott, Joshua; Ashfaq, Muhammad; Mason-D'Croz, Daniel; Wiebe, Keith; et al. 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(2119). https://doi.org/10.1098/rsta.2016.0455 |
| spellingShingle | simulation models risk management models production forecasting agricultural sector interdisciplinary research uncertainty agriculture identification land use climate change adaptation climate change mitigation food security scales crop modelling prices climate change impact assessment Rosenzweig, Cynthia Ruane, Alex C Antle, John Elliott, Joshua Ashfaq, Muhammad Mason-D'Croz, Daniel Wiebe, Keith D. Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments |
| title | Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments |
| title_full | Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments |
| title_fullStr | Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments |
| title_full_unstemmed | Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments |
| title_short | Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments |
| title_sort | coordinating agmip data and models across global and regional scales for 1 5°c and 2 0°c assessments |
| topic | simulation models risk management models production forecasting agricultural sector interdisciplinary research uncertainty agriculture identification land use climate change adaptation climate change mitigation food security scales crop modelling prices climate change impact assessment |
| url | https://hdl.handle.net/10568/146658 |
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