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Deciphering trophic interactions in a mid-Cambrian assemblage

机译:解读中寒武纪组合中的营养互动

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摘要

Exceptionally preserved fossil sites have allowed specimen-based identification of trophic interactions to which network analyses have been applied. However, network analyses of the fossil record suffer from incomplete and indirect data, time averaging that obscures species coexistence, and biases in preservation. Here, we present a high-resolution fossil data set from Raymond Quarry member of the mid-Cambrian Burgess Shale (7,549 specimens, 61 taxa, ∼510 Mya) and formulate a measure of “preservation bias” that aids identification of assemblage subsets to which network analyses can be reliably applied. For these sections, abundance correlation network analyses predicted longitudinally consistent trophic and competitive interactions. Our analyses predicted previously postulated trophic interactions with 83.5% accuracy and demonstrated a shift from specialist interaction-dominated assemblages to ones dominated by generalist and competitive interactions. This approach provides a robust, taphonomically corrected framework to explore and predict in detail the existence and ecological character of putative interactions in fossil data sets.
机译:异常保存的化石位点允许基于标本的识别营养的相互作用识别,从而应用网络分析。然而,化石记录的网络分析遭受不完整和间接数据,时间平均模糊物种共存,以及保存中的偏见。在这里,我们展示了一系列高分辨率的化石数据套装,从中核伯尼斯页岩(7,549个标本,61个分类群岛,~510 Mya),制定了衡量“保存偏见”的衡量标识可以可靠地应用网络分析。对于这些部分,丰度相关网络分析预测纵向一致的营养和竞争性互动。我们的分析预测先前的假期营养不良互动,精度为83.5%,并展示了从专家互动主导的组合的转变为主导的一般主义和竞争性互动。这种方法提供了一种稳健的,策略纠正的框架,以探索和预测化石数据集中推定交互的存在和生态特征。

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