<mets:mets OBJID="eprint_9207" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2023-07-04T23:11:33Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>OAR@ICRISAT</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_9207_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>New Methods to Assess Climate Change Impacts, Vulnerability and Adaptation of Agricultural Production Systems: The experience of AgMIP’s Regional Integrated Assessments in Sub-Saharan Africa and South Asia</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Valdivia</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S</mods:namePart><mods:namePart type="family">Homann-Kee Tui</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S</mods:namePart><mods:namePart type="family">Sridharan</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">J</mods:namePart><mods:namePart type="family">Antle</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The climate change research community has recognized that new pathway and scenario concepts are needed to implement impact and vulnerability assessment that is logically consistent across global, regional and local scales. The most common challenge is that global models do not provide context-specific answers, while scientists and decision makers require data and information about climate change, vulnerability, adaptation, mitigation and impacts at the local scale. The Agricultural Model Inter-comparison and Improvement Project (AgMIP) provides the link between global climate change projections and sector-specific and regional pathways and scenarios (Antle et al., 2015; Rosenzweig et al., 2013). AgMIP, through a trans-disciplinary process involving both scientists and stakeholders, is developing Representative Agricultural Pathways (RAPs) for agricultural systems at both global and regional scales. In addition to climate modeling, RAPs include bio-physical and socio-economic drivers, associated capabilities, challenges and opportunities. RAPs can then be translated as components of the AgMIP Regional Integrated Assessments (RIA) of climate vulnerability and impacts…</mods:abstract><mods:classification authority="lcc">Agriculture-Farming, Production, Technology, Economics</mods:classification><mods:classification authority="lcc">Climate Change</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2015-05</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_9207"><mets:rightsMD ID="rights_eprint_9207_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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