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

文献类型：期刊论文

作者He, Honglin1,3,11; Ge, Rong1,3,10; Ren, Xiaoli1; Zhang, Li1,11; Chang, Qingqing1,10; Xu, Qian1,10; Zhou, Guoyi9; Xie, Zongqiang8; Wang, Silong7; Wang, Huimin
刊名SCIENTIFIC DATA
出版日期2021
卷号8期号:1
DOI10.1038/s41597-021-00826-w
文献子类Article; Data Paper
英文摘要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.
学科主题Multidisciplinary Sciences
出版地BERLIN
电子版国际标准刊号2052-4463
WOS关键词SOIL CARBON ; PRIMARY PRODUCTIVITY ; EDDY COVARIANCE ; ECOSYSTEM MODEL ; RESIDENCE TIME ; TURNOVER TIMES ; ALLOCATION ; CLIMATE ; VEGETATION ; STATE
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
WOS记录号WOS:000616958800004
出版者NATURE PORTFOLIO
资助机构National Key Research and Development Program of China [2016YFC0500204] ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA19020301]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/26720]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Univ Edinburgh, Natl Ctr Earth Observat, Edinburgh EH9 3FF, Midlothian, Scotland
3.Univ Edinburgh, Sch Geosci, Edinburgh EH9 3FF, Midlothian, Scotland
4.Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China
5.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Mengla 666303, Peoples R China
6.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
7.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
8.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China
9.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
10.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 He, Honglin,Ge, Rong,Ren, Xiaoli,et al. Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation[J]. SCIENTIFIC DATA,2021,8(1).
APA He, Honglin.,Ge, Rong.,Ren, Xiaoli.,Zhang, Li.,Chang, Qingqing.,...&Yu, Guirui.(2021).Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation.SCIENTIFIC DATA,8(1).
MLA He, Honglin,et al."Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation".SCIENTIFIC DATA 8.1(2021).

入库方式： OAI收割

来源：植物研究所

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