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Biodiversity estimates and ecological interpretations of meiofaunal communities are biased by the taxonomic approach

机译:人工植物群落的生物多样性估计和生态解释因分类方法而有偏差

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Accurate assessments of biodiversity are crucial to advising ecosystem-monitoring programs and understanding ecosystem function. Nevertheless, a standard operating procedure to assess biodiversity accurately and consistently has not been established. This is especially true for meiofauna, a diverse community (20 phyla) of small benthic invertebrates that have fundamental ecological roles. Recent studies show that metabarcoding is a cost-effective and time-effective method to estimate meiofauna biodiversity, in contrast to morphological-based taxonomy. Here, we compare biodiversity assessments of a diverse meiofaunal community derived by applying multiple taxonomic methods based on comparative morphology, molecular phylogenetic analysis, DNA barcoding of individual specimens, and metabarcoding of environmental DNA. We show that biodiversity estimates are strongly biased across taxonomic methods and phyla. Such biases affect understanding of community structures and ecological interpretations. This study supports the urgency of improving aspects of environmental high-throughput sequencing and the value of taxonomists in correctly understanding biodiversity estimates.
机译:对生物多样性的准确评估对于建议生态系统监测计划和了解生态系统功能至关重要。然而,尚未建立准确,一致地评估生物多样性的标准操作程序。对于meiofauna来说尤其如此,meiofauna是具有基本生态作用的小型底栖无脊椎动物的多样化群落(> 20 phyla)。最近的研究表明,与基于形态学的分类法相比,元条形码是一种评估捕食类动物生物多样性的经济有效的方法。在这里,我们比较了基于比较形态学,分子系统发育分析,单个标本的DNA条形码和环境DNA的元条形码的多种分类学方法,得出了多种不同的人工造林群落的生物多样性评估。我们表明,生物多样性估计值在生物分类学方法和种系之间存在很大偏差。这种偏见影响对社区结构和生态学解释的理解。这项研究支持迫切需要改进环境高通量测序的各个方面,以及分类学家在正确理解生物多样性估计中的价值。

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