中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
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, Honglin1,2,3,11; Ge, Rong1,2,4,11; Ren, Xiaoli1,2; Zhang, Li1,2,3; Chang, Qingqing1,2,4; Xu, Qian1,2,4; Zhou, Guoyi5; Xie, Zongqiang6; Wang, Silong7; Wang, Huimin1
刊名SCIENTIFIC DATA
出版日期2021-02-02
卷号8期号:1页码:13
DOI10.1038/s41597-021-00826-w
通讯作者Yu, Guirui(yugr@igsnrr.ac.cn)
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.
资助项目National Key Research and Development Program of China[2016YFC0500204] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19020301]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000616958800004
出版者NATURE RESEARCH
资助机构National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/160746]  
专题中国科学院地理科学与资源研究所
通讯作者Yu, Guirui
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
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):13.
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),13.
MLA He, Honglin,et al."Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation".SCIENTIFIC DATA 8.1(2021):13.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。