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A Sideways View of Stromatolites: Complexity Metrics for Stromatolite Laminae

机译:斜纹石的侧面视图:斜纹石薄片的复杂性度量

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Stromatolites offer a unique window into 3.5 billion years of evolution of the microbial communities that built them within the context of an evolving Earth. Our interest is not in the microbial life or their external matrix as independent entities, but the appearance and evolution of complexity itself within this biogeological system. We adopt the canonical definition of complexity as the emergence and detection of previously unseen properties (structures, functions, information), and we propose that the defining emergent property of stromatolites apparent to the human expert eye is the lamination. To develop a quantitative complexity metric for stromatolites, we must ask what makes it possible for the human brain to perceive lamination? Our visual system operates optimally as a difference machine rapidly identifying variations in signal intensity and redundancy in neighboring regions. In stromatolites, such differences are detected by first scanning parallel to the growth surface and then placing layers in context by scanning orthogonal to that surface. We propose that the fundamental metric for stromatolite complexity resides in the laminae themselves and that easily measured differences in luminance, variability, and redundancy between alternating laminae is an emergent feature of stromatolite complexity. The metrics calculated for laminae in photomicrographs revealed significant differences between putative biotic/abiotic laminae. The statistical indices calculated can contribute to stromatolite recognition, description, and classification. The indices are easily calculated in the laboratory or in the field on personal computers. We propose that such statistical information metrics be included as a standard component in the description of extant and fossil stromatolites.
机译:基质岩提供了一个独特的窗口,可了解在不断发展的地球环境中建立它们的微生物群落的35亿年演变。我们的兴趣不是微生物生命或它们作为独立实体的外部基质,而是该生物地质系统中复杂性本身的出现和演变。我们采用复杂性的规范定义作为先前未见过的特性(结构,功能,信息)的出现和检测,并且我们建议对人的专家而言显而易见的叠层石的定义出来的特性是层压。为了开发叠层石的定量复杂性指标,我们必须问什么使人脑感知叠层?我们的视觉系统可以作为差分机以最佳方式运行,从而可以快速识别相邻区域信号强度和冗余的变化。在叠层石中,首先通过平行于生长表面进行扫描,然后通过垂直于该表面进行扫描将层放置在上下文中,从而检测出这种差异。我们提出,叠层石复杂性的基本度量标准由叠层本身本身决定,而交替层积之间的亮度,可变性和冗余性的轻松测量差异是叠层石复杂性的一个新兴特征。在显微照片中对薄片的计算得出的指标表明,假定的生物/非生物薄片之间存在显着差异。计算出的统计指标可有助于层间陨石的识别,描述和分类。可以在实验室或在个人计算机上的现场轻松计算指数。我们建议将此类统计信息指标作为现存和化石叠层石描述中的标准组成部分。

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