Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis

The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) engaged stakeholders in Africa, Asia and Latin America in the development of regional socioeconomic scenarios for policy development. These scenarios were framed and outlined by regional experts and then quantified...

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Autores principales: Palazzo, Amanda, Vervoort, Joost M., Havlík, Petr, Mason-D'Croz, Daniel, Islam, Shahnila
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: CGIAR Research Program on Climate Change, Agriculture and Food Security 2014
Materias:
Acceso en línea:https://hdl.handle.net/10568/56839
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author Palazzo, Amanda
Vervoort, Joost M.
Havlík, Petr
Mason-D'Croz, Daniel
Islam, Shahnila
author_browse Havlík, Petr
Islam, Shahnila
Mason-D'Croz, Daniel
Palazzo, Amanda
Vervoort, Joost M.
author_facet Palazzo, Amanda
Vervoort, Joost M.
Havlík, Petr
Mason-D'Croz, Daniel
Islam, Shahnila
author_sort Palazzo, Amanda
collection Repository of Agricultural Research Outputs (CGSpace)
description The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) engaged stakeholders in Africa, Asia and Latin America in the development of regional socioeconomic scenarios for policy development. These scenarios were framed and outlined by regional experts and then quantified using the IMPACT and GLOBIOM models. The scenarios were used in a number of policy design processes at national and regional levels. The model results show that investment in agriculture is essential to close yield gaps needed for growing demand, and that increases in production costs increases these yield gaps. However, even under high agricultural investments, regional production is unlikely to meet regional demand. In many cases, the socio-economic assumptions of the scenarios are more impactful than climate effects on yields. Increased yields can lead to crop area expansion, and the protection and enforcement of forests and biodiversity is essential, especially with increased investment in agriculture. The CCAFS scenarios process show the need to combine socio-economic and climate scenarios, to base these scenarios in regional expertise, and ways to make scenarios useful for policy design.
format Artículo preliminar
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language Inglés
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher CGIAR Research Program on Climate Change, Agriculture and Food Security
publisherStr CGIAR Research Program on Climate Change, Agriculture and Food Security
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spelling CGSpace568392024-01-23T12:03:58Z Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis Palazzo, Amanda Vervoort, Joost M. Havlík, Petr Mason-D'Croz, Daniel Islam, Shahnila policies data analysis data collection stakeholders governance climate change adaptation models food security agriculture climate change The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) engaged stakeholders in Africa, Asia and Latin America in the development of regional socioeconomic scenarios for policy development. These scenarios were framed and outlined by regional experts and then quantified using the IMPACT and GLOBIOM models. The scenarios were used in a number of policy design processes at national and regional levels. The model results show that investment in agriculture is essential to close yield gaps needed for growing demand, and that increases in production costs increases these yield gaps. However, even under high agricultural investments, regional production is unlikely to meet regional demand. In many cases, the socio-economic assumptions of the scenarios are more impactful than climate effects on yields. Increased yields can lead to crop area expansion, and the protection and enforcement of forests and biodiversity is essential, especially with increased investment in agriculture. The CCAFS scenarios process show the need to combine socio-economic and climate scenarios, to base these scenarios in regional expertise, and ways to make scenarios useful for policy design. 2014-12-30 2015-02-23T15:32:39Z 2015-02-23T15:32:39Z Working Paper https://hdl.handle.net/10568/56839 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Palazzo A, Vervoort J, Havlik P, Mason-D’Croz D, Islam S. 2014. Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America: A multi-regional synthesis. CCAFS Working Paper no. 109. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
spellingShingle policies
data analysis
data collection
stakeholders
governance
climate change adaptation
models
food security
agriculture
climate change
Palazzo, Amanda
Vervoort, Joost M.
Havlík, Petr
Mason-D'Croz, Daniel
Islam, Shahnila
Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis
title Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis
title_full Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis
title_fullStr Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis
title_full_unstemmed Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis
title_short Simulating stakeholder-driven food and climate scenarios for policy development in Africa, Asia and Latin America A multi-regional synthesis
title_sort simulating stakeholder driven food and climate scenarios for policy development in africa asia and latin america a multi regional synthesis
topic policies
data analysis
data collection
stakeholders
governance
climate change adaptation
models
food security
agriculture
climate change
url https://hdl.handle.net/10568/56839
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