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首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >Evaluation of subsampling efforts in estimating community indices and community structures
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Evaluation of subsampling efforts in estimating community indices and community structures

机译：评估社区指数和社区结构中的二次抽样工作

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Even though subsampling can minimize the research efforts needed to deal with numerous specimens, the accuracy of bioassessment and community analysis can be affected according to subsampled individuals. In this study, the effects of subsampling on community indices, the parameters of the species abundance distributions (SADs) and ordination based on communities were evaluated using benthic macroinvertebrates from three different stream pollution levels: less, intermediately, and heavily polluted. The values of the community indices and the parameters of the SADs were clearly different according to the differences in the pollution levels, regardless of subsampling efforts. Detrended correspondence analysis was applied to characterize similarities between the subsamples with different individuals based on community indices and the parameters of the SADs. A self-organizing map was used to characterize the community similarities and properties of the subsamples, differentiating the subsamples from their original datasets. Finally, our results revealed that the effects of subsampling were reflected differently in different indices, parameters, and ordinations of communities at different pollution levels, suggesting that subsample size should be determined differently at different pollution levels depending on the objectives of the study. However, if only one subsample size is to be used for simplicity and to reduce the cost of aquatic ecosystem health monitoring and assessment, then we recommend at least 400 individuals as the subsample size. At least 800 individuals should be subsampled for biodiversity studies.
机译：即使二次采样可以最大程度地减少处理大量标本所需的研究工作，但根据二次采样的个体，生物评估和社区分析的准确性也会受到影响。在本研究中，使用来自三个不同河流污染水平的底栖大型无脊椎动物，分别对低度，中度和重度污染进行了二次取样对群落指数，物种丰度分布（SADs）参数和基于群落排序的影响。无论采用何种抽样方法，根据污染水平的差异，社区指数的值和SAD的参数都明显不同。基于社区指数和SADs的参数，采用去趋势对应分析来表征子样本与不同个体之间的相似性。使用自组织图来描述子样本的社区相似性和属性，从而将子样本与其原始数据集区分开。最后，我们的结果表明，在不同污染水平下，不同社区的指标，参数和排序对子抽样的影响体现不同，这表明应根据研究目的在不同污染水平下对子样本大小进行不同确定。但是，如果为了简化操作并减少水生生态系统健康监测和评估的成本而仅使用一个子样本量，则建议至少使用400个人作为子样本量。应至少抽样800个人进行生物多样性研究。

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