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重构过去:化石数字修复的方法与技术

Reconstructing the past: methods and techniques for the digital restoration of fossils.

作者信息

Lautenschlager Stephan

机构信息

School of Earth Sciences , University of Bristol , Life Sciences Building, 24 Tyndall Avenue, Bristol BS8 1TQ , UK.

出版信息

R Soc Open Sci. 2016 Oct 12;3(10):160342. doi: 10.1098/rsos.160342. eCollection 2016 Oct.

Abstract

During fossilization, the remains of extinct organisms are subjected to taphonomic and diagenetic processes. As a result, fossils show a variety of preservational artefacts, which can range from small breaks and cracks, disarticulation and fragmentation, to the loss and deformation of skeletal structures and other hard parts. Such artefacts can present a considerable problem, as the preserved morphology of fossils often forms the basis for palaeontological research. Phylogenetic and taxonomic studies, inferences on appearance, ecology and behaviour and functional analyses of fossil organisms strongly rely on morphological information. As a consequence, the restoration of fossil morphology is often a necessary prerequisite for further analyses. Facilitated by recent computational advances, virtual reconstruction and restoration techniques offer versatile tools to restore the original morphology of fossils. Different methodological steps and approaches, as well as software are outlined and reviewed here, and advantages and disadvantages are discussed. Although the complexity of the restorative processes can introduce a degree of interpretation, digitally restored fossils can provide useful morphological information and can be used to obtain functional estimates. Additionally, the digital nature of the restored models can open up possibilities for education and outreach and further research.

摘要

在化石形成过程中,已灭绝生物的遗骸会经历埋藏学和成岩作用过程。因此,化石呈现出各种各样的保存假象,这些假象范围广泛,从小的裂缝、脱节和破碎,到骨骼结构及其他硬体部分的缺失和变形。这些假象可能会带来相当大的问题,因为化石的保存形态往往是古生物学研究的基础。系统发育和分类学研究、对化石生物外观、生态和行为的推断以及功能分析都强烈依赖形态学信息。因此,恢复化石形态通常是进一步分析的必要前提。在近期计算技术进步的推动下,虚拟重建和恢复技术提供了多种工具来恢复化石的原始形态。本文概述并回顾了不同的方法步骤、途径以及软件,并讨论了其优缺点。尽管恢复过程的复杂性可能会引入一定程度的解释,但数字化恢复的化石可以提供有用的形态学信息,并可用于获得功能估计。此外,恢复模型的数字特性为教育推广和进一步研究开辟了可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d55/5098973/1280dc991df1/rsos160342-g1.jpg

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