ArticleScientific data2021
Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Leaf carbon nitrogen and phosphorus concentrations in dominant trees across China's forests from 2005 to 2020.Scientific data · 2025Article
- Molecular-level carbon traits underlie the multidimensional fine root economics space.Nature plants · 2024Article
- Analysis of Microbial Diversity and Community Structure of Rhizosphere Soil of ThreeMicroorganisms · 2024Article
- Tracking 21Nature communications · 2022Article
- Species pool size and rainfall account for the relationship between biodiversity and biomass production in natural forests of China.Ecology and evolution · 2022Article
- Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation.Scientific data · 2021Article
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19 authors.
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Abstract
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.
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