G2TT
来源类型Article
规范类型其他
DOI10.1016/j.cosust.2010.06.008
Can we reconcile atmospheric estimates of the Northern terrestrial carbon sink with land-based accounting?
Ciais P; Canadell JG; Luyssaert S; Chevallier F; Shvidenko A; Poussi Z; Jonas M; Peylin P
发表日期2010
出处Current Opinion in Environmental Sustainability 2 (4): 225-230
出版年2010
语种英语
摘要We estimate the northern hemisphere (NH) terrestrial carbon sink by comparing four recent atmospheric inversions with land-based C accounting data for six large northern regions. The mean NH terrestrial CO2 sink from the inversion models is 1.7 Pg C year-1 over the period 2000-2004. The uncertainty of this estimate is based on the typical individual (1-sigma) precision of one inversion (0.9 Pg C year-1) and is consistent with the minmax range of the four inversion mean estimates (0.8 Pg C year-1). Inversions agree within their uncertainty for the distribution of the NH sink of CO2 in longitude, with Russia being the largest sink. The land-based accounting estimate of NH carbon sink is 1.7 Pg C year-1 for the sum of the six regions studied. The 1-sigma uncertainty of the land-based estimate (0.3 Pg C year-1) is smaller than that of atmospheric inversions, but no independent land-based flux estimate is available to derive a 'between accounting model' uncertainty. Encouragingly, the top-down atmospheric and the bottom-up land-based methods converge to consistent mean estimates within their respective errors, increasing the confidence in the overall budget. These results also confirm the continued critical role of NH terrestrial ecosystems in slowing down the atmospheric accumulation of anthropogenic CO2.
主题Forestry (FOR)
URLhttp://pure.iiasa.ac.at/id/eprint/9205/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/129099
推荐引用方式
GB/T 7714
Ciais P,Canadell JG,Luyssaert S,et al. Can we reconcile atmospheric estimates of the Northern terrestrial carbon sink with land-based accounting?. 2010.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ciais P]的文章
[Canadell JG]的文章
[Luyssaert S]的文章
百度学术
百度学术中相似的文章
[Ciais P]的文章
[Canadell JG]的文章
[Luyssaert S]的文章
必应学术
必应学术中相似的文章
[Ciais P]的文章
[Canadell JG]的文章
[Luyssaert S]的文章
相关权益政策
暂无数据
收藏/分享

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。