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<p>Archeological wood is a vital organic archive, yet its degraded state challenges traditional methods for species identification, provenance resolution, and decay assessment. This review synthesizes state-of-the-art advances—integrating artificial intelligence, isotopic systems, and molecular biology—and proposes a four-tier hierarchical diagnostic framework that moves the field from qualitative description to quantitative, high-resolution analysis. Landmark case studies demonstrate how multi-scalar data fusion provides mechanistic understanding of structural decay inaccessible through conventional approaches.</p>

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Recent advancements in the characterization of archaeological wood

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月4日

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  • Amir Ghavidel,
  • Reza Hosseinpourpia,
  • Jianhui Zhou

摘要

Archeological wood is a vital organic archive, yet its degraded state challenges traditional methods for species identification, provenance resolution, and decay assessment. This review synthesizes state-of-the-art advances—integrating artificial intelligence, isotopic systems, and molecular biology—and proposes a four-tier hierarchical diagnostic framework that moves the field from qualitative description to quantitative, high-resolution analysis. Landmark case studies demonstrate how multi-scalar data fusion provides mechanistic understanding of structural decay inaccessible through conventional approaches.