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	Data-based perfect-deficit approach to understanding climate extremes and forest carbon assimilation capacity
	Wei S. H. ; Yi C. X. ; Hendrey G. ; Eaton T. ; Rustic G. ; Wang S. Q. ; Liu H. P. ; Krakauer N. Y. ; Wang W. G. ; Desai A. R. ; Montagnani L. ; Paw U. K. T. ; Falk M. ; Black A. ; Bernhofer C. ; Grunwald T. ; Laurila T. ; Cescatti A. ; Moors E. ; Bracho R. ; Valentini R.
	2014
关键词	climate extremes drought carbon assimilation capacity perfect-deficit approach forests net ecosystem exchange drought respiration algorithm heat reduction feedbacks model
英文摘要	Several lines of evidence suggest that the warming climate plays a vital role in driving certain types of extreme weather. The impact of warming and of extreme weather on forest carbon assimilation capacity is poorly known. Filling this knowledge gap is critical towards understanding the amount of carbon that forests can hold. Here, we used a perfect-deficit approach to identify forest canopy photosynthetic capacity (CPC) deficits and analyze how they correlate to climate extremes, based on observational data measured by the eddy covariance method at 27 forest sites over 146 site-years. We found that droughts severely affect the carbon assimilation capacities of evergreen broadleaf forest (EBF) and deciduous broadleaf forest. The carbon assimilation capacities of Mediterranean forests were highly sensitive to climate extremes, while marine forest climates tended to be insensitive to climate extremes. Our estimates suggest an average global reduction of forest CPC due to unfavorable climate extremes of 6.3 Pg C (similar to 5.2% of global gross primary production) per growing season over 2001-2010, with EBFs contributing 52% of the total reduction.
出处	Environmental Research Letters
卷	9
期	6
收录类别	SCI
语种	英语
ISSN号	1748-9326
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29521]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Wei S. H.,Yi C. X.,Hendrey G.,et al. Data-based perfect-deficit approach to understanding climate extremes and forest carbon assimilation capacity. 2014.

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