Traditionally, crop yield has been the main focus of agricultural policies and technological interventions. For designing appropriate agricultural interven'/> A Stock and Flow?Based Framework to Identify Indicators for a Holistic Comparison of Farming Practices
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A Stock and Flow?Based Framework to Identify Indicators for a Holistic Comparison of Farming Practices

机译:股票和流量?基于框架,用于确定农业实践的整体比较指标

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Abstract Traditionally, crop yield has been the main focus of agricultural policies and technological interventions. For designing appropriate agricultural interventions, a holistic set of indicators accounting for the short and long-term benefits and environmental impacts as well as socioeconomic sustainability of farmers is needed. In contrast with existing frameworks for assessing farming practices where the indicators are restricted to a preset attributes, we developed a stock and flow?based framework for a systemic identification of both short and long-term indicators. While stock variables inside the system capture the stability and resilience of the system, indicators identified from various dimensions of the biophysical flows across the system–environment boundary capture the desirable outcomes and undesirable impacts. Our framework also aids in selection of appropriate proxy indicators for hard to measure primary indicators by tracing their forward and backward linkages rather than avoiding them due to their complexity.
机译:<标题>抽象 ara id =“par1”>传统上,作物产量是农业政策和技术干预的主要重点。为了设计适当的农业干预措施,需要一套整体指标,占短期和长期福利和环境影响以及农民的社会经济可持续性。与现有框架相比,用于评估指标限制在预设属性的农业实践的框架,我们开发了一种股票和流量?基于股票和流量的框架,用于短期和长期指标的系统识别。虽然系统内的库存变量捕获系统的稳定性和弹性,但是从系统环境边界的生物物理流的各种尺寸识别的指标捕获了所需的结果和不良影响。我们的框架还可以通过追踪其前向和后向连接来努力测量主要指标的适当代理指标,而不是由于它们的复杂性避免它们。

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