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A modelling and participatory approach for enhancing learning about adaptation of grassland-based livestock systems to climate change

机译:建立模型和参与式方法,以增强对基于草原的牲畜系统适应气候变化的了解

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To anticipate local livestock systems' adaptation to climate change, we created a modelling and participatory approach that relies on the development and use of agro-meteorological and agronomic supports that are based on climate- and plant-model outputs and shaped by a conceptual model of a livestock system. The objective of this paper was to examine the extent to which the approach, in particular the use of the supports in workshops with farmers and advisors, helped to stimulate learning about adaptation options of livestock systems to climate change and the way in which workshop discussions can improve researchers' conceptual models of livestock systems. We show that the use of supports can generate incremental adaptation options (interpreted as single-loop learning) and sometimes more radical ideas for change (interpreted as double-loop learning). Subsequent analysis of workshops provides new insights into livestock systems (e.g. considerations used by farmers for key decisions). We demonstrate that this modelling and participatory approach avoids the trade-off often found between the credibility of livestock-system adaptations to climate change and their relevance in practice.
机译:为了预测当地牲畜系统适应气候变化,我们创建了一种建模和参与式方法,该方法依赖于农业气象和农艺学支持的开发和使用,这些支持以气候和植物模型的输出为基础,并以牲畜系统。本文的目的是研究在多大程度上该方法,特别是在与农民和顾问的讲习班中使用支持,有助于激发人们学习畜牧系统适应气候变化的选择以及讲习班讨论的方式改善研究人员的牲畜系统概念模型。我们证明,使用支持可以产生增量适应选项(被解释为单循环学习),有时可以产生更激进的变革思想(被解释为双循环学习)。研讨会的后续分析为牲畜系统提供了新的见解(例如,农民用于关键决策的考虑因素)。我们证明,这种建模和参与式方法避免了经常在牲畜系统适应气候变化的可信度与实践中的相关性之间找到权衡。

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