Knowledge Management System Of Institute Of Botany,CAS
Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation | |
He, Honglin1,2,10; Ge, Rong1,3,10; Ren, Xiaoli1; Zhang, Li1,2; Chang, Qingqing1,3; Xu, Qian1,3; Zhou, Guoyi4; Xie, Zongqiang5; Wang, Silong6; Wang, Huimin; Zhang, Qibin5; Wang, Anzhi6; Fan, Zexin7; Zhang, Yiping7; Shen, Weijun4; Yin, Huajun8; Lin, Luxiang7; Williams, Mathew9; Yu, Guirui1,2 | |
2021 | |
发表期刊 | SCIENTIFIC DATA |
卷号 | 8期号:1 |
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. |
学科领域 | Multidisciplinary Sciences |
DOI | 10.1038/s41597-021-00826-w |
收录类别 | SCI |
语种 | 英语 |
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) |
WOS记录号 | WOS:000616958800004 |
出版者 | NATURE PORTFOLIO |
文献子类 | Article; Data Paper |
出版地 | BERLIN |
EISSN | 2052-4463 |
资助机构 | National Key Research and Development Program of China [2016YFC0500204] ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA19020301] |
作者邮箱 | yugr@igsnrr.ac.cn |
作品OA属性 | Green Published, gold |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | 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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Nat Ecosyst Sci Data Ctr, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China 6.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 7.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China 8.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Mengla 666303, Peoples R China 9.Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China 10.Univ Edinburgh, Sch Geosci, Edinburgh EH9 3FF, Midlothian, Scotland 11.Univ Edinburgh, Natl Ctr Earth Observat, Edinburgh EH9 3FF, Midlothian, Scotland |
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). |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
He-2021-Reference ca(3120KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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