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Towards a New Food System Assessment: AgMIP Coordinated Global and Regional Assessments of Climate ChangeAgricultural stakeholders need more credible information on which to base adaptation and mitigation policy decisions. In order to provide this, we must improve the rigor of agricultural modelling. Ensemble approaches can be used to address scale issues and integrated teams can overcome disciplinary silos. The AgMIP Coordinated Global and Regional Assessments of Climate Change and Food Security (CGRA) has the goal to link agricultural systems models using common protocols and scenarios to significantly improve understanding of climate effects on crops, livestock and livelihoods across multiple scales. The AgMIP CGRA assessment brings together experts in climate, crop, livestock, economics, and food security to develop Protocols to guide the process throughout the assessment. Scenarios are designed to consistently combine elements of intertwined storylines of future society including, socioeconomic development, greenhouse gas concentrations, and specific pathways of agricultural sector development. Through these approaches, AgMIP partners around the world are providing an evidence base for their stakeholders as they make decisions and investments.
Document ID
20180000622
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Rosenzweig, Cynthia E. (NASA Goddard Inst. for Space Studies New York, NY, United States)
Thorburn, Peter (Commonwealth Scientific and Industrial Research Organization Dutton Park, Queensland, Australia)
Date Acquired
January 18, 2018
Publication Date
September 24, 2017
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN50534
Meeting Information
Meeting: Australian Agronomy Conference
Location: Ballarat, Victoria
Country: Australia
Start Date: September 24, 2017
End Date: September 28, 2017
Sponsors: Australian Society of Agronomy
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
Ensembles
sustainable development
uncertainty
farming systems
simulations

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