Document Type

Article

Publication Date

7-4-2026

Department

College of Forest Resources and Environmental Science

Abstract

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.

Publisher's Statement

© The Author(s) 2026. Publisher’s version of record: https://doi.org/10.1038/s41529-026-00840-6

Publication Title

Npj Materials Degradation

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Version

Publisher's PDF

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