Method to measure tree-ring width, density, elemental composition, and stable carbon and oxygen isotopes using one sample

Chenxi Xu, Yaru Zhao, Wenling An, Qingyu Zhao, Yucheng Liu, Masaki Sano, Takeshi Nakatsuka

Journal of Forestry Research ›› 2024, Vol. 35 ›› Issue (1) : 56.

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Journal of Forestry Research ›› 2024, Vol. 35 ›› Issue (1) : 56. DOI: 10.1007/s11676-024-01707-9
Original Paper

Method to measure tree-ring width, density, elemental composition, and stable carbon and oxygen isotopes using one sample

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Abstract

Tree-ring width (RW), density, elemental composition, and stable carbon and oxygen isotope (δ13C, δ18O) are widely used as proxies to assess climate change, ecology, and environmental pollution; however, a specific pretreatment has been needed for each proxy. Here, we developed a method by which each proxy can be measured in the same sample. First, the sample is polished for ring width measurement. After obtaining the ring width data, the sample is cut to form a 1-mm-thick wood plate. The sample is then mounted in a vertical sample holder, and gradually scanned by an X-ray beam. Simultaneously, the count rates of the fluorescent photons of elements (for chemical characterization) and a radiographic grayscale image (for wood density) are obtained, i.e. the density and the element content are obtained. Then, cellulose is isolated from the 1-mm wood plate by removal of lignin, and hemicellulose. After producing this cellulose plate, cellulose subsamples are separated by knife under the microscope for inter-annual and intra-annual stable carbon and oxygen isotope (δ13C, δ18O) analysis. Based on this method, RW, density, elemental composition, δ13C, and δ18O can be measured from the same sample, which reduces sample amount and treatment time, and is helpful for multi-proxy comparison and combination research.

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Chenxi Xu, Yaru Zhao, Wenling An, Qingyu Zhao, Yucheng Liu, Masaki Sano, Takeshi Nakatsuka. Method to measure tree-ring width, density, elemental composition, and stable carbon and oxygen isotopes using one sample. Journal of Forestry Research, 2024, 35(1): 56 https://doi.org/10.1007/s11676-024-01707-9
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