Data-based perfect-deficit approach to understanding climate extremes and forest carbon assimilation capacity

Autor: Suhua Wei, Chuixiang Yi, George Hendrey, Timothy Eaton, Gerald Rustic, Shaoqiang Wang, Heping Liu, Nir Y Krakauer, Weiguo Wang, Ankur R Desai, Leonardo Montagnani, Kyaw Tha Paw U, Matthias Falk, Andrew Black, Christian Bernhofer, Thomas Grünwald, Tuomas Laurila, Alessandro Cescatti, Eddy Moors, Rosvel Bracho, Riccardo Valentini
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Environmental Research Letters, Vol 9, Iss 6, p 065002 (2014)
Druh dokumentu: article
ISSN: 1748-9326
DOI: 10.1088/1748-9326/9/6/065002
Popis: 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 (∼5.2% of global gross primary production) per growing season over 2001–2010, with EBFs contributing 52% of the total reduction.
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