globalchange  > 过去全球变化的重建
DOI: 10.1007/s12040-019-1120-y
WOS记录号: WOS:000463218400004
论文题名:
Multi-model assessment of trends, variability and drivers of terrestrial carbon uptake in India
作者: Rao, Ananya S.1; Bala, Govindasamy1; Ravindranath, N. H.2; Nemani, Rama3
通讯作者: Rao, Ananya S.
刊名: JOURNAL OF EARTH SYSTEM SCIENCE
ISSN: 2347-4327
EISSN: 0973-774X
出版年: 2019
卷: 128, 期:4
语种: 英语
英文关键词: TRENDY multi-model ; regional carbon cycle ; trends in NPP ; NEP over India ; water use efficiency
WOS关键词: NET PRIMARY PRODUCTIVITY ; WATER-USE EFFICIENCY ; COMPARING GLOBAL-MODELS ; LAND-USE CHANGE ; NITROGEN INTERACTIONS ; TEMPERATURE DATA ; CLIMATE-CHANGE ; NPP ; BIOSPHERE ; SATELLITE
WOS学科分类: Geosciences, Multidisciplinary ; Multidisciplinary Sciences
WOS研究方向: Geology ; Science & Technology - Other Topics
英文摘要:

A multi- model- based assessment is made to assess the trends and variability in the land carbon uptake in India during the period 1901- 2010. Data from nine models, used in a recent land surface model inter- comparison project called TRENDY, are used for this purpose. Our analysis is focused on the trends and variability in the net primary productivity ( NPP), net ecosystem productivity ( NEP) and net ecosystem exchange ( NEE). The multi- model mean NPP shows a positive trend of 2.03% per decade during this period. The NEP, which is the difference between NPP and heterotrophic respiration, has a mean value of - 0.138 +/- 0.086 PgCyr - 1 over this region. According to our analysis of TRENDY multimodels, the inter- annual variation in NPP and NEP is strongly driven by precipitation, but remote drivers such as El Ni no Southern Oscillation ( ENSO) and Indian Ocean Dipole ( IOD) do not have a strong influence. The water use efficiency ( WUE) shows an increase of about 25% over the 110- yr period. Our multi- model- based estimate of the cumulative NEE is 0.613 +/- 0.1PgC during 1901- 2010, indicating that the Indian terrestrial ecosystem was neither a strong source nor a significant sink during this period. However, we caution that our conclusion is based on a limited set of offline land models, and the results presented here have large uncertainties due to model resolution and parameterisation of various land surface processes, the inadequate validation procedures and the use of limited number of models and land use change data sets. Further investigations using more observational data, rigorous validation using extensive observational data sets and a set of comprehensive coupled models that include several feedbacks between land, atmosphere, ocean and the cryosphere are needed to assess the robustness of our results.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/138930
Appears in Collections:过去全球变化的重建

Files in This Item:

There are no files associated with this item.


作者单位: 1.Indian Inst Sci, Ctr Atmospher & Ocean Sci, Bangalore 560012, Karnataka, India
2.Indian Inst Sci, Ctr Sustainable Technol, Bangalore 560012, Karnataka, India
3.NASA, Ames Res Ctr, Mountain View, CA 94035 USA

Recommended Citation:
Rao, Ananya S.,Bala, Govindasamy,Ravindranath, N. H.,et al. Multi-model assessment of trends, variability and drivers of terrestrial carbon uptake in India[J]. JOURNAL OF EARTH SYSTEM SCIENCE,2019-01-01,128(4)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Rao, Ananya S.]'s Articles
[Bala, Govindasamy]'s Articles
[Ravindranath, N. H.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Rao, Ananya S.]'s Articles
[Bala, Govindasamy]'s Articles
[Ravindranath, N. H.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Rao, Ananya S.]‘s Articles
[Bala, Govindasamy]‘s Articles
[Ravindranath, N. H.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.