Cleverly James, Eamus Derek, Luo Qunying, Restrepo Coupe Natalia, Kljun Natascha, Ma Xuanlong, Ewenz Cacilia, Li Longhui, Yu Qiang, Huete Alfredo
School of Life Sciences, University of Technology Sydney, PO Box 123, Broadway, NSW, 2007, Australia.
Australian Supersite Network, Terrestrial Ecosystem Research Network, University of Technology Sydney.
Sci Rep. 2016 Mar 15;6:23113. doi: 10.1038/srep23113.
The global carbon cycle is highly sensitive to climate-driven fluctuations of precipitation, especially in the Southern Hemisphere. This was clearly manifested by a 20% increase of the global terrestrial C sink in 2011 during the strongest sustained La Niña since 1917. However, inconsistencies exist between El Niño/La Niña (ENSO) cycles and precipitation in the historical record; for example, significant ENSO-precipitation correlations were present in only 31% of the last 100 years, and often absent in wet years. To resolve these inconsistencies, we used an advanced temporal scaling method for identifying interactions amongst three key climate modes (El Niño, the Indian Ocean dipole, and the southern annular mode). When these climate modes synchronised (1999-2012), drought and extreme precipitation were observed across Australia. The interaction amongst these climate modes, more than the effect of any single mode, was associated with large fluctuations in precipitation and productivity. The long-term exposure of vegetation to this arid environment has favoured a resilient flora capable of large fluctuations in photosynthetic productivity and explains why Australia was a major contributor not only to the 2011 global C sink anomaly but also to global reductions in photosynthetic C uptake during the previous decade of drought.
全球碳循环对由气候驱动的降水波动高度敏感,尤其是在南半球。这在2011年全球陆地碳汇增加20%的情况中得到了明显体现,当时正值1917年以来最强持续拉尼娜事件期间。然而,厄尔尼诺/拉尼娜(ENSO)循环与历史记录中的降水之间存在不一致;例如,在过去100年中,仅有31%的时间存在显著的ENSO-降水相关性,而且在湿润年份这种相关性常常不存在。为了解决这些不一致问题,我们使用了一种先进的时间尺度方法来识别三种关键气候模式(厄尔尼诺、印度洋偶极子和南半球环状模)之间的相互作用。当这些气候模式同步时(1999 - 2012年),澳大利亚各地出现了干旱和极端降水。这些气候模式之间的相互作用,而非任何单一模式的影响,与降水和生产力的大幅波动相关。植被长期暴露于这种干旱环境中,造就了一种能够在光合生产力上大幅波动的适应力强的植物群落,这也解释了为何澳大利亚不仅是2011年全球碳汇异常的主要贡献者,也是前一个干旱十年全球光合碳吸收量减少的主要贡献者。