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粪化石多模态分析:一种捕食者识别工具。

Coprolite Multimodal Analysis: A Tool for Predator Identification.

作者信息

Dauphin Yannicke, Brugal Jean-Philip

机构信息

IRN 0871 TaphEN, CNRS-INEE, 13097 Aix-en-Provence, France.

Institut de Systématique, Evolution, Biodiversité (ISYEB), UMR 7205 CNRS, Sorbonne Université, EPHE, Muséum National d'Histoire Naturelle, 75005 Paris, France.

出版信息

Animals (Basel). 2025 Apr 16;15(8):1145. doi: 10.3390/ani15081145.

Abstract

Paleontologists and archeologists reconstruct ancient ecosystems using data from carnivores' food remains. Carnivores have evolved to employ two primary feeding strategies: consuming mostly meat and focusing on both meat and bones, and these strategies result in the production of different feces. Hyenas are exemplary meat-eaters and bone-crushers. While fecal characteristics like shape, color, size, and inclusions are often used for species identification, the detailed composition of hyena feces remains largely unexplored. To address this, we conducted a multimodal analysis of feces-like coprolites from four modern Hyaenid species, using scanning electron microscopy (SEM) and Fourier transform infrared spectrometry (FTIR). This approach allowed for the detection and quantification of the proportions of calcium phosphate/carbonate, silts, organic matter, and crystallinity in the coprolites. Our preliminary findings suggest that multivariate statistical analysis of these components could provide a reliable method for species identification based solely on fecal content, results which can be applied in research on fossil materials.

摘要

古生物学家和考古学家利用食肉动物食物残骸的数据来重建古代生态系统。食肉动物已经进化出两种主要的觅食策略:主要以肉类为食以及既吃肉类又啃食骨头,而这些策略会产生不同的粪便。鬣狗是典型的食肉动物和碎骨者。虽然粪便的形状、颜色、大小和内含物等特征常被用于物种识别,但鬣狗粪便的详细成分在很大程度上仍未被探索。为了解决这个问题,我们使用扫描电子显微镜(SEM)和傅里叶变换红外光谱法(FTIR)对四种现代鬣狗科物种的粪便样粪化石进行了多模态分析。这种方法能够检测和量化粪化石中磷酸钙/碳酸盐、淤泥、有机物和结晶度的比例。我们的初步研究结果表明,对这些成分进行多变量统计分析可以提供一种仅基于粪便内容进行物种识别的可靠方法,其结果可应用于化石材料的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7e9/12024366/5c6159be3f4b/animals-15-01145-g001.jpg

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