Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation

Honglin He, Rong Ge, Xiaoli Ren, Li Zhang, Qingqing Chang, Qian Xu, Guoyi Zhou, Zongqiang Xie, Silong Wang, Huimin Wang, Qi-bin Zhang, Anzhi Wang, Zexin Fan, Yiping Zhang, Weijun Shen, HuaJun Yin, Luxiang Lin, Mathew Williams, Guirui Yu

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Chinese forests cover most of the representative forest types in the Northern Hemisphere and function as a large carbon (C) sink in the global C cycle. The availability of long-term C dynamics observations is key to evaluating and understanding C sequestration of these forests. The Chinese Ecosystem Research Network has conducted normalized and systematic monitoring of the soil-biology-atmosphere-water cycle in Chinese forests since 2000. For the first time, a reference dataset of the decadal C cycle dynamics was produced for 10 typical Chinese forests after strict quality control, including biomass, leaf area index, litterfall, soil organic C, and the corresponding meteorological data. Based on these basic but time-discrete C-cycle elements, an assimilated dataset of key C cycle parameters and time-continuous C sequestration functions was generated via model-data fusion, including C allocation, turnover, and soil, vegetation, and ecosystem C storage. These reference data could be used as a benchmark for model development, evaluation and C cycle research under global climate change for typical forests in the Northern Hemisphere.
Original languageEnglish
Article number42
JournalScientific Data
Publication statusPublished - 2 Feb 2021


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