首页> 外文期刊>Palaeogeography, Palaeoclimatology, Palaeoecology: An International Journal for the Geo-Sciences >Quantitative analysis of rudist assemblages: a key for palaeocommunity reconstructions. The Late Barremian record from SE France
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Quantitative analysis of rudist assemblages: a key for palaeocommunity reconstructions. The Late Barremian record from SE France

机译:鲁道夫组合的定量分析:古社区重建的关键。法国东南部的巴雷米亚晚期记录

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摘要

The present paper addresses the question of rudist assemblages and their interpretation in terms of ecological entities, i.e. communities. Quantitative studies performed on rudist assemblages in the Barremian platform carbonates of the Marseille region (SE France) were based on biological attributes (shell size, shell thickness, packing density, packing index, coverage and shell contribution) and sedimentological attributes from the associated substrate (mud content, grain size and skeletal contribution to the sediment and bed thickness). The studied samples were originally ascribed to four assemblages defined on the basis of semiquantitative data. Contrasting results were obtained from multivariate analysis applied to biological then to biological plus sedimentological data. The latter documents four groups of samples in correspondence with the former assemblages. This grouping refers directly or indirectly to critical attributes of communities: biomass and substrate. Evidence for some taxonomic markers and because the assemblages represent recurrent statistical entities corroborate their interpretation as palaeocommunities. The method proposed here for the reconstruction of rudist palaeocommunities has a potential for unravelling biological assemblages with a low taxonomic resolution.
机译:本文件从生态实体即社区的角度探讨了鲁道夫组合的问题及其解释。对马赛地区(法国东南部)的Barremian平台碳酸盐岩中的鲁氏组合进行的定量研究基于生物学属性(壳的大小,壳的厚度,堆积密度,堆积指数,覆盖率和壳的贡献)和相关基质的沉积学特征(泥浆含量,粒度和骨架对沉积物和床层厚度的影响)。被研究的样品最初被归类为基于半定量数据定义的四个组合。对比结果是从多变量分析中获得的,先后将其应用于生物学,然后再应用于生物学和沉积学数据。后者记录了与前一组相对应的四组样品。该分组直接或间接地指社区的关键属性:生物量和底物。某些分类标记的证据,并且由于该组合代表了经常性的统计实体,从而证实了它们对古群落的解释。这里提出的用于重建古生物群落的方法可能会以低的生物分类学分辨率揭示生物群落。

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