globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13442
论文题名:
Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison
作者: Restrepo-Coupe N.; Levine N.M.; Christoffersen B.O.; Albert L.P.; Wu J.; Costa M.H.; Galbraith D.; Imbuzeiro H.; Martins G.; da Araujo A.C.; Malhi Y.S.; Zeng X.; Moorcroft P.; Saleska S.R.
刊名: Global Change Biology
出版年: 2017
卷: 23, 期:1
起始页码: 191
结束页码: 208
语种: 英语
英文关键词: Amazonia ; carbon dynamics ; dynamic global vegetation models ; ecosystem–climate interactions ; eddy covariance ; seasonality ; tropical forests phenology
Scopus关键词: carbon flux ; climate change ; eddy covariance ; phenology ; seasonality ; tropical forest ; vegetation dynamics ; Amazon Basin ; Brazil ; Ibis
英文摘要: To predict forest response to long-term climate change with high confidence requires that dynamic global vegetation models (DGVMs) be successfully tested against ecosystem response to short-term variations in environmental drivers, including regular seasonal patterns. Here, we used an integrated dataset from four forests in the Brasil flux network, spanning a range of dry-season intensities and lengths, to determine how well four state-of-the-art models (IBIS, ED2, JULES, and CLM3.5) simulated the seasonality of carbon exchanges in Amazonian tropical forests. We found that most DGVMs poorly represented the annual cycle of gross primary productivity (GPP), of photosynthetic capacity (Pc), and of other fluxes and pools. Models simulated consistent dry-season declines in GPP in the equatorial Amazon (Manaus K34, Santarem K67, and Caxiuanã CAX); a contrast to observed GPP increases. Model simulated dry-season GPP reductions were driven by an external environmental factor, ‘soil water stress’ and consequently by a constant or decreasing photosynthetic infrastructure (Pc), while observed dry-season GPP resulted from a combination of internal biological (leaf-flush and abscission and increased Pc) and environmental (incoming radiation) causes. Moreover, we found models generally overestimated observed seasonal net ecosystem exchange (NEE) and respiration (Re) at equatorial locations. In contrast, a southern Amazon forest (Jarú RJA) exhibited dry-season declines in GPP and Re consistent with most DGVMs simulations. While water limitation was represented in models and the primary driver of seasonal photosynthesis in southern Amazonia, changes in internal biophysical processes, light-harvesting adaptations (e.g., variations in leaf area index (LAI) and increasing leaf-level assimilation rate related to leaf demography), and allocation lags between leaf and wood, dominated equatorial Amazon carbon flux dynamics and were deficient or absent from current model formulations. Correctly simulating flux seasonality at tropical forests requires a greater understanding and the incorporation of internal biophysical mechanisms in future model developments. © 2016 John Wiley & Sons Ltd
资助项目: Restrepo-Coupe, N. ; Plant Functional Biology and Climate Change Cluster, University of Technology SydneyAustralia ; 电子邮件: nataliacoupe@gmail.com
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61124
Appears in Collections:影响、适应和脆弱性

Files in This Item:

There are no files associated with this item.


作者单位: Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, Sydney, NSW, Australia; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States; Department of Biological Sciences, University of Southern California, Los Angeles, CA, United States; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, United States; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States; Department of Atmospheric Sciences, University of Arizona, Tucson, AZ, United States; Biological, Environmental & Climate Sciences Department, Brookhaven National Lab, Upton, NY, United States; Department of Agricultural Engineering, Federal University of Vicosa, Vicosa, Brazil; School of Geography, University of Leeds, Leeds, United Kingdom; Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Brazil; Embrapa Amazônia Oriental, Belem, Brazil; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom

Recommended Citation:
Restrepo-Coupe N.,Levine N.M.,Christoffersen B.O.,et al. Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison[J]. Global Change Biology,2017-01-01,23(1)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Restrepo-Coupe N.]'s Articles
[Levine N.M.]'s Articles
[Christoffersen B.O.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Restrepo-Coupe N.]'s Articles
[Levine N.M.]'s Articles
[Christoffersen B.O.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Restrepo-Coupe N.]‘s Articles
[Levine N.M.]‘s Articles
[Christoffersen B.O.]‘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.