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VALUE OF PREDICTING ENVIRONMENTAL VARIATION IN FISHERY MANAGEMENT

机译:预测环境变化在渔业管理中的价值

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Decision-makers are often concerned with forecasts of environmental variables. Inaccordance with this the quality of forecasts is often discussed. The interest in forecastsalso show up in much modeling activity. However, the value of forecasts in terms ofimproved quality of decisions is not extensively studied. In this article we investigatethe value of forecasts by the use of stochastic, dynamic optimization. The case isNortheast Arctic cod (Gadus Morhua) in the Barents Sea. We find that the value ofideal forecasts, when used to their full potential, is around 3 to 5 percent improvementin expected net present value. More realistic forecasts lead to improvements less thanone percent. For practical purposes, it is only the forecast for the coming year thatmatters, long-term forecasts are of no use because the managed fishery is very flexible.These findings suggest that highly simplified forecasts can be used in models. Theconclusions are likely to be somewhat sensitive to choice of model, a theme for furtherresearch.
机译:决策者通常关心环境变量的预测。在 因此,经常讨论预测的质量。对预测的兴趣 也出现在许多建模活动中。但是,就以下方面而言,预测的价值 没有广泛研究提高决策质量。在本文中,我们将进行调查 通过使用随机,动态优化来预测价值。情况是 东北北极鳕鱼(加德斯·摩尔瓦)在巴伦支海。我们发现 完全发挥其潜能后,理想的预测将提高3%到5%。 预期净现值。更现实的预测所带来的改善不及 1%。出于实际目的,仅是对下一年的预测 重要的是,由于管理渔业非常灵活,因此长期预报毫无用处。 这些发现表明,可以在模型中使用高度简化的预测。这 结论可能对模型的选择有些敏感,这是进一步研究的主题 研究。

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