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首页> 外文期刊>ICES Journal of Marine Science >Use of simulated data as a tool for testing the performance of diversity indices in response to an organic enrichment event
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Use of simulated data as a tool for testing the performance of diversity indices in response to an organic enrichment event

机译:使用模拟数据作为测试有机富集事件多样性指标表现的工具

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摘要

We demonstrate how data on macrobenthic species numbers and abundance after an organic enrichment event can be simulated using the empirical Pearson-Rosenberg model in combination with further plausible ecological assumptions. The simulations were programmed in the statistical package R, using an ecological framework that included classification of species into opportunistic, tolerant, and sensitive types, together with probabilities for the occurrence of these types at any particular point in the event history. The simulations also included assumptions about the dominance of species types. The exercise was successful in that realistic, simulated datasets could be produced quickly and, because of the stochastic nature of parts of the simulation process, repeat simulations allowed variation of selected diversity indices calculated on the series to be assessed. The approach could provide a useful tool to evaluate both existing and new indicators.
机译:我们演示了如何使用经验性的Pearson-Rosenberg模型结合进一步的合理生态假设来模拟有机富集事件后大型底栖动物物种数量和丰度的数据。使用生态框架在统计软件包R中对模拟进行编程,该生态框架包括将物种分类为机会型,宽容型和敏感型,以及在事件历史的任何特定点出现这些类型的可能性。模拟还包括有关物种类型优势的假设。该练习是成功的,因为可以快速生成逼真的,模拟的数据集,并且由于模拟过程各部分的随机性,重复进行的模拟允许评估要评估的序列上所选多样性指数的变化。该方法可以为评估现有指标和新指标提供有用的工具。

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