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Taxonomic sufficiency in detecting hydrological changes and reproducing ordination patterns: A test using planktonic ciliates

机译:分类学上的能力,足以发现水文变化和繁殖排序模式:使用浮游纤毛虫的试验

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摘要

Ciliates are commonly and successfully used as bioindicators in marine ecosystems, even at low levels of taxonomic resolution. However, the use of these organisms in biomonitoring programs of freshwater ecosystems is less common. Evidence showing the reliability of the taxonomic sufficiency approach for freshwater ciliates is also limited. Demonstrating taxonomic sufficiency would be important to foster the use of ciliates in freshwater biomonitoring programs in a cost-effective way. Here we tested whether richness and multivariate patterns generated by ciliate community data, at species level, were retrieved by analyses carried out with data at lower taxonomic resolutions. Community and environmental datasets were gathered at 36 sites in the Upper Parana River floodplain (Brazil), during high and low water levels periods of the years 2010 and 2011. We found that, in comparison with species-level data, genus-level identification was sufficient to detect the effects of the environmental changes caused by floods, to retrieve the ordination patterns generated during each hydrological period and to detect relationships with environmental and spatial gradients. We also showed that the use of coarser taxonomic resolutions was not advisable because high relationships with species-level data were found only with genus-level data. We encourage the use of ciliates in biomonitoring programs of freshwater ecosystems and, according to our results, the use of genus-level identification is a reliable strategy, not only to increase cost efficiency, but also to guarantee temporal comparability of data.
机译:纤毛虫在海洋生态系统中甚至在分类学分辨率较低的情况下也被普遍成功地用作生物指示剂。但是,在淡水生态系统的生物监测计划中使用这些生物的情况并不常见。证明淡水纤毛虫生物分类足够方法的可靠性的证据也很有限。证明生物分类学的充分性对于以成本有效的方式促进纤毛在淡水生物监测计划中的使用很重要。在这里,我们测试了是否通过在较低生物分类分辨率下对数据进行的分析来检索物种一级纤毛虫群落数据产生的丰富度和多元模式。在2010年和2011年的高水位和低水位期间,在上巴拉那河上游(巴西)的36个地点收集了社区和环境数据集。我们发现,与物种水平的数据相比,属水平的识别是足以检测洪水引起的环境变化的影响,检索在每个水文期间产生的排序模式以及检测与环境和空间梯度的关系。我们还表明,不建议使用粗略的分类学分辨率,因为仅与属类数据一起发现与物种级数据的高度相关性。我们鼓励在淡水生态系统的生物监测计划中使用纤毛虫,并且根据我们的结果,使用属级鉴定是一种可靠的策略,不仅可以提高成本效率,而且可以保证数据的时间可比性。

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