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Farmers use intuition to reinvent analytic decision support for managing seasonal climatic variability.

机译:农民利用直觉重新发明了用于管理季节性气候变化的分析决策支持。

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The FARMSCAPE Information System emerged in a long-running research program aimed at making simulation models useful to Australian farmers in managing climatic variability. This paper is about how well it has worked. This is reported in relation to two standards: (1) the value to thinking and action expressed by farmers and their consultants, (2) correspondence with theory about learning and judgement in uncertain external environments. The former utilises recorded narrative interviews with participants over many years. The latter uses a cognitive framework drawn from theory of judgment and decision making featuring the relationship between intuition and analysis (McCown, 2011). The cognitive theory framework makes sense of several evaluation surprises. The first was high enthusiasm by largely-intuitive farmers for an analytic approach to soil water in conjunction with a newly-appreciated "bucket" metaphor for water balance. The second surprise was the virtual absence of soil water measurement 10 years later. This had been replaced by various intuitive estimates, calibrated to maintain a heuristic relationship with regard to the "bucket" as a resource. Farmers and their advisers were facilitated in using simulation for thought experiments and planning under climatic uncertainty. Benchmarking enabled problem solving in documented conditions. Scenario analysis using historical climate records supported thought experiments by providing probability distributions that were valued for shaping expectations as a "history of the future". In retrospective evaluation interviews, researchers were surprised to find that yield forecasting and tactical decision making, anticipated to be analyses that were both site- and season-specific forecasts, had served farmers as "management gaming" simulations to aid formulating action rules for such conditions, thus reducing the need for an on-going decision-aiding service. Equipped with their soil monitoring techniques and with their heuristic rules, farmers still reserved a place for simulation "when you've got a planting situation out of the ordinary".
机译:FARMSCAPE信息系统出现在一项长期运行的研究计划中,旨在使模拟模型对管理气候变异性的澳大利亚农民有用。本文是关于它的运作情况。报告涉及两个标准:(1)农民及其顾问对思维和行动的价值;(2)在不确定的外部环境中与关于学习和判断的理论相对应。前者利用与参与者多年的记录叙事访谈。后者使用从判断和决策理论中提取出来的认知框架,该框架具有直觉和分析之间的关系(McCown,2011)。认知理论框架使一些评估惊喜变得有意义。第一个是农民的强烈热情,他们对土壤水的分析方法结合了新近认识的“桶”式比喻来平衡水量。第二个惊喜是十年后几乎没有土壤水测量。它已被各种直观的估计值所替代,这些估计值经过校准以维持与“存储桶”作为资源的启发式关系。农民和他们的顾问在模拟气候条件下的思想实验和规划中得到了帮助。标杆管理可以在有条件的情况下解决问题。使用历史气候记录进行的情景分析通过提供概率分布来支持思想实验,这些概率分布对于将期望塑造为“未来历史”具有重要意义。在回顾性评估访谈中,研究人员惊讶地发现,产量预测和战术决策(预期将是针对特定地点和季节的预测分析)已将农民用作“管理博弈”模拟,以帮助制定针对此类条件的行动规则,从而减少了对正在进行的决策辅助服务的需求。配备了土壤监测技术和启发式规则的农民仍然为“当您遇到异常的种植状况时”保留了一个模拟场所。

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