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Filtering by: Creator Meyers, Philip. University of Michigan Creator Tong, Chuan, Fujian Normal University Creator Yang, Ping, Fujian Normal University Keyword peat properties

Dataset from analysis of a peat core from the Tielishahan peatland in the Xinjiang Altai Mountains, northwestern China

Creator:

Zhang, Yan, Fujian Normal University, Yang, Ping, Fujian Normal University, Tong, Chuan, Fujian Normal University, Zhang, Xinyan, Chinese Academy of Sciences, Changchun, Liu, Xingtu, Chinese Academy of Sciences, Changchun, Zhang, Shaoqing, Chinese Academy of Sciences, Changchun, Meyers, Philip. University of Michigan, and Gao, Chuanyu , Chinese Academy of Sciences, Changchun

Description:

A high-resolution study of bulk properties in a peat sequence from the Xinjiang Altai Mountains of northwestern China, has allowed reconstruction of local variations in peat properties and peat C and N accumulation rates (CAR and NAR) during the Holocene. Analyses of peat bulk density, loss on ignition, and concentrations of TOC and TN and their elemental ratios and stable isotopic values suggest that changes in peat-forming vegetation types during different parts of this epoch are the major factors responsible for the variations of peat properties in this sequence.

Keyword:

peat properties, stable carbon and nitrogen isotopes, carbon and nitrogen accumulation rates, and Altai Mountains of northwestern China

Citation to related publication:

Zhang, Y., Yang, P., Gao, C., Tong, C., Zhang, X., Liu, X., Zhang, S., & Meyers, P. A. (2020). Peat Properties and Holocene Carbon and Nitrogen Accumulation Rates in a Peatland in the Xinjiang Altai Mountains, Northwestern China. Journal of Geophysical Research: Biogeosciences, 125(12), e2019JG005615. https://doi.org/10.1029/2019JG005615

Discipline:

Science

Dataset from analysis of a peat core from the Tielishahan peatland in the Xinjiang Altai Mountains, northwestern China

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Dataset from analysis of a peat core from the Tielishahan peatland in the Xinjiang Altai Mountains, northwestern China

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