A protocol for high-quality sectioning for tree-ring anatomy

Quantitative wood anatomy (QWA), which involves measuring wood cell anatomical characteristics commonly on dated tree rings, is becoming increasingly important within plant sciences and ecology. This approach is particularly valuable for studies that require processing a large number of samples, such as those aimed at millennial-long climatic reconstructions. However, the field faces significant challenges, including the absence of a publicly available comprehensive protocol for efficiently and uniformly producing high-quality wood thin sections for QWA along dated tree-ring series. This issue is especially critical for more brittle subfossil wood, in addition to fresh material from living trees. Our manuscript addresses these challenges by providing a detailed protocol for producing thin anatomical sections of wood and digital images, specifically tailored for long chronologies of tree-ring anatomy with an emphasis on conifer wood. The protocol includes step-by-step procedures for sample preparation, sectioning, and imaging, ensuring consistent and high-quality results. By offering this well-tried-and-tested protocol, we aim to facilitate reproducibility and accuracy in wood anatomical studies, ultimately advancing research in this field. It aims to serve as a reference for researchers and laboratories engaged in similar work, promoting standardized practices and enhancing the reliability of QWA data.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-02-26
DOI
https://doi.org/10.3389/fpls.2025.1505389
Citations
16
Primary Topic
Tree-ring climate responses
Type
article
Field-Weighted Citation Impact
20.81

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article

A protocol for high-quality sectioning for tree-ring anatomy

Marina V. Fonti, Maryline Harroué, Patrick Fonti, Daniel Nievergelt et al.
16 citations
Frontiers in Plant Science
Tree-ring climate responses
20.81
article

A protocol for high-quality sectioning for tree-ring anatomy

Marina V. Fonti, Maryline Harroué, Patrick Fonti, Daniel Nievergelt, Georg von Arx, Cyrille Rathgeber, Rashit Hantemirov, Vladimir V. Kukarskih, Jesper Björklund, Loïc Schneider, Nadja-Tamara Studer
article en
16 citations

Abstract

Quantitative wood anatomy (QWA), which involves measuring wood cell anatomical characteristics commonly on dated tree rings, is becoming increasingly important within plant sciences and ecology. This approach is particularly valuable for studies that require processing a large number of samples, such as those aimed at millennial-long climatic reconstructions. However, the field faces significant challenges, including the absence of a publicly available comprehensive protocol for efficiently and uniformly producing high-quality wood thin sections for QWA along dated tree-ring series. This issue is especially critical for more brittle subfossil wood, in addition to fresh material from living trees. Our manuscript addresses these challenges by providing a detailed protocol for producing thin anatomical sections of wood and digital images, specifically tailored for long chronologies of tree-ring anatomy with an emphasis on conifer wood. The protocol includes step-by-step procedures for sample preparation, sectioning, and imaging, ensuring consistent and high-quality results. By offering this well-tried-and-tested protocol, we aim to facilitate reproducibility and accuracy in wood anatomical studies, ultimately advancing research in this field. It aims to serve as a reference for researchers and laboratories engaged in similar work, promoting standardized practices and enhancing the reliability of QWA data.

Frontiers in Plant ScienceVol. 16
University of Bern (CH), Oeschger Centre for Climate Change Research (CH), Ural Federal University (RU), AgroParisTech (FR), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Silva (FR), Institute of Plant and Animal Ecology (RU), Université de Lorraine (FR)
Russian Science Support Foundation, Agence Nationale de la Recherche, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Life in Land
Openalex Percentile: Top 0%
Tree-ring climate responses
20.81
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