Data_Sheet_1_High-Resolution X-Ray Computed Tomography: A New Workflow for the Analysis of Xylogenesis and Intra-Seasonal Wood Biomass Production.zip

Understanding tree growth and carbon sequestration are of crucial interest to forecast the feedback of forests to climate change. To have a global understanding of the wood formation, it is necessary to develop new methodologies for xylogenesis measurements, valid across diverse wood structures and applicable to both angiosperms and gymnosperms. In this study, the authors present a new workflow to study xylogenesis using high-resolution X-ray computed tomography (HRXCT), which is generic and offers high potential for automatization. The HXRCT-based approach was benchmarked with the current classical approach (microtomy) on three tree species with contrasted wood anatomy (Pinus nigra, Fagus sylvatica, and Quercus robur). HRXCT proved to estimate the relevant xylogenesis parameters (timing, duration, and growth rates) across species with high accuracy. HRXCT showed to be an efficient avenue to investigate tree xylogenesis for a wide range of wood anatomies, structures, and species. HRXCT also showed its potential to provide quantification of intra-annual dynamics of biomass production through high-resolution 3D mapping of wood biomass within the forming growth ring.解析树木生长与碳固存（carbon sequestration）机制，对于预测森林对气候变化的反馈响应至关重要。为全面解析木材形成过程，亟需开发适用于多样木材结构、且可同时应用于被子植物（angiosperms）与裸子植物（gymnosperms）的木材形成（xylogenesis）测量新方法。本研究中，研究者提出了一套基于高分辨率X射线计算机断层扫描（HRXCT）的木材形成研究新流程，该方法具备普适性，且自动化应用潜力极高。本研究以三种木材解剖结构特征迥异的树种（黑松*Pinus nigra*、欧洲山毛榉*Fagus sylvatica*与夏栎*Quercus robur*）为对象，将基于HRXCT的研究方法与当前主流的经典方法——显微切片术（microtomy）进行了对照验证。实验结果证实，HRXCT可高精度估算不同树种的木材形成关键参数，包括发生时序、持续时长与生长速率。HRXCT可作为高效研究手段，用于解析多种木材解剖结构、构造以及不同树种的树木木材形成过程。此外，HRXCT还可通过对正在形成的生长轮内木材生物量进行高分辨率三维成像，实现生物质生产年内动态的定量化分析。