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Multi-agent modelling of climate outlooks and food security on a community garden scheme in Limpopo South Africa

机译:南非林波波市社区花园计划中关于气候展望和粮食安全的多主体建模

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摘要

Seasonal climate outlooks provide one tool to help decision-makers allocate resources in anticipation of poor, fair or good seasons. The aim of the ‘Climate Outlooks and Agent-Based Simulation of Adaptation in South Africa’ project has been to investigate whether individuals, who adapt gradually to annual climate variability, are better equipped to respond to longer-term climate variability and change in a sustainable manner. Seasonal climate outlooks provide information on expected annual rainfall and thus can be used to adjust seasonal agricultural strategies to respond to expected climate conditions. A case study of smallholder farmers in a village in Vhembe district, Limpopo Province, South Africa has been used to examine how such climate outlooks might influence agricultural strategies and how this climate information can be improved to be more useful to farmers. Empirical field data has been collected using surveys, participatory approaches and computer-based knowledge elicitation tools to investigate the drivers of decision-making with a focus on the role of climate, market and livelihood needs. This data is used in an agent-based social simulation which incorporates household agents with varying adaptation options which result in differing impacts on crop yields and thus food security, as a result of using or ignoring the seasonal outlook. Key variables are the skill of the forecast, the social communication of the forecast and the range of available household and community-based risk coping strategies. This research provides a novel approach for exploring adaptation within the context of climate change.
机译:季节性气候展望提供了一种工具,可以帮助决策者分配资源,以预见不良,公平或良好的季节。 “南非的气候展望和基于代理的适应模拟研究”项目的目的是调查逐渐适应年度气候变化的个体是否有能力更好地应对长期气候变化和可持续变化。方式。季节性气候前景可提供有关预期年降雨量的信息,因此可用于调整季节性农业策略以响应预期气候条件。南非林波波省Vhembe区一个村庄的小农户案例研究被用来研究这种气候前景如何影响农业战略,以及如何改善这种气候信息以对农民更有用。使用调查,参与性方法和基于计算机的知识启发工具收集了经验实地数据,以关注气候,市场和生计需求的作用来调查决策的驱动力。此数据用于基于代理的社会模拟中,该模拟将具​​有不同适应选项的家庭代理合并在一起,由于使用或忽略季节性前景,对农作物产量和粮食安全的影响会有所不同。关键变量是预测的技能,预测的社会沟通以及可用的基于家庭和社区的风险应对策略的范围。这项研究为探索气候变化背景下的适应性提供了一种新颖的方法。

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