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Climate Change Impacts and Adaptation for Dryland Farming Systems in Zimbabwe: A Stakeholder-Driven Integrated Multi-Model AssessmentDecision makers need accurate information to address climate variability and change and accelerate transformation to sustainability. A stakeholder-driven, science-based multi-model approach has been developed and used by the Agricultural Model Intercomparison and Improvement Project (AgMIP) to generate actionable information for adaptation planning processes. For a range of mid-century climate projections—likely to be hotter, drier, and more variable—contrasting future socio-economic scenarios (Representative Agricultural Pathways, RAPs) were co-developed with stakeholders to portray a sustainable development scenario and a rapid economic growth pathway. The unique characteristic of this application is the integration of a multi-modeling approach with stakeholder engagement to co-develop scenarios and adaptation strategies. Distribution of outcomes were simulated with climate, crop, livestock, and economic impact assessment models for smallholder crop livestock farmers in a typical dryland agro-ecological zone in Zimbabwe, characterized by low and erratic rainfall and nutrient depleted soils. Results showed that in Nkayi District, Western Zimbabwe, climate change would threaten most of the farms, and, in particular, those with large cattle herds due to feed shortages. Adaptation strategies that showed the most promise included diversification using legume production, soil fertility improvement, and investment in conducive market environments. The switch to more legumes in the farming systems reduced the vulnerability of the very poor as well as the more resourced farmers. Overall, the sustainable development scenario consistently addressed institutional failures and motivated productivity-enhancing, environmentally sound technologies and inclusive development approaches. This yielded more favorable outcomes than investment in quick economic wins from commercializing agriculture.
Document ID
20210017670
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Sabine Homann-Kee Tui ORCID
(International Crops Research Institute for the Semi-Arid Tropics Nairobi, Kenya)
Katrien Descheemaeker ORCID
(Wageningen University & Research Wageningen, Netherlands)
Roberto O Valdivia ORCID
(Oregon State University Corvallis, United States)
Patricia Masikati ORCID
(World Agroforestry Centre Chipata, Zambia)
Gevious Sisito ORCID
(Matopos Research Institute)
Elisha N Moyo ORCID
(Ministry of Environment)
Olivier Crespo ORCID
(University of Cape Town Rondebosch, South Africa)
Alex C Ruane ORCID
(Goddard Institute for Space Studies New York, New York, United States)
Cynthia Rosenzweig ORCID
(Goddard Institute for Space Studies New York, New York, United States)
Date Acquired
June 17, 2021
Publication Date
September 25, 2021
Publication Information
Publication: Climatic Change
Publisher: Springer
Volume: 168
Issue Publication Date: January 1, 2021
ISSN: 0165-0009
e-ISSN: 1573-1480
Subject Category
Meteorology And Climatology
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 281945.02.80.01.13
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Climate change adaptation
crop-livestock systems
vulnerability
poverty
Zimbabwe
pathways and scenarios
models
Dryland Farming Systems
Agricultural Model Intercomparison and 34 Improvement Project (AgMIP)
Representative Agricultural Pathways, RAPs
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