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Simulation Based Tools for Linking Knowledge with Action to Improve and Maintain Food Security in Africa, 2017
Creator
Kopainsky, Birgit (Universitetet i Bergen)
Study number / PID
https://doi.org/10.18712/NSD-NSD2509-V3 (DOI)
Data access
Information not available
Series
Not available
Abstract
According to the Food and Agriculture Organization of the United Nations there were 800 million malnourished people in 2015. The percentages of malnourished were highest in Africa South of the Sahara. Meanwhile, Africa South of the Sahara is a region that is especially vulnerable to climate change.
The main food source in this region are maize, hence the maize crops plays an important role for the population regarding food security. However, research shows that climate change will contribute to a remarkable reduction in the crops for the maize-dominant agriculture in the south of Africa, and this is a new factor that will increase the uncertainty of the food security in the region.
Different methods to adapt the changing climate and other threats towards food security have been launched. Reviews of the consequences of these methods in short and long term have been challenging because of the dynamic complexity of food production in this area. This is the case of reviews of individual adaption methods and especially when the adaption methods were seen in context with strategies for food security.
This project has contributed to the implementation of methods that adapted the agriculture to climate changes through development and use of simulation models and related training tools. These tools were used in a project in the maize-dominated agriculture in Zambia, and the project had two overall goals:
-To identify effective political measurements to increase food production over time if climate change were to occur in the region
-Develop and review strategies for integration of knowledge and capacity increasing measures that supports the political measurements
The project combined the academic disciplines of climate research, agriculture and food security with the academic discipline of System Dynamics, that used data simulated models for designing political measures and for the teaching of complex dynamic systems. This combination led to both the making of...
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Keywords
Not available
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/12/2013 - 31/10/2016
Country
Time dimension
Not available
Analysis unit
Individual
Universe
Small-scale farmers in four different agro-ecological regions in Zambia sub-set of farmers participating in a previous household survey by Noragric.
Sampling procedure
Not available
Kind of data
Text
Numeric
Data collection mode
Not available
Funding information
Funder
The Research Council of Norway
Access
Publisher
Sikt - Norwegian Agency for Shared Services in Education and Research