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Separating the influence of temperature, drought, and fire on interannual variability in atmospheric CO_2

机译:分离温度,干旱和火对大气CO_2年际变化的影响

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The response of the carbon cycle in prognostic Earth system models (ESMs) contributes significant uncertainty to projections of global climate change. Quantifying contributions of known drivers of interannual variability in the growth rate of atmospheric carbon dioxide (CO_2) is important for improving the representation of terrestrial ecosystem processes in these ESMs. Several recent studies have identified the temperature dependence of tropical net ecosystem exchange (NEE) as a primary driver of this variability by analyzing a single, globally averaged time series of CO_2 anomalies. Here we examined how the temporal evolution of CO_2 in different latitude bands may be used to separate contributions from temperature stress, drought stress, and fire emissions to CO_2 variability. We developed atmospheric CO_2 patterns from each of these mechanisms during 1997–2011 using an atmospheric transport model. NEE responses to temperature, NEE responses to drought, and fire emissions all contributed significantly to CO_2 variability in each latitude band, suggesting that no single mechanism was the dominant driver. We found that the sum of drought and fire contributions to CO_2 variability exceeded direct NEE responses to temperature in both the Northern and Southern Hemispheres. Additional sensitivity tests revealed that these contributions are masked by temporal and spatial smoothing of CO_2 observations. Accounting for fires, the sensitivity of tropical NEE to temperature stress decreased by 25% to 2.9 ± 0.4 Pg C yr~(-1) K~(-1). These results underscore the need for accurate attribution of the drivers of CO_2 variability prior to using contemporary observations to constrain long-term ESM responses.
机译:碳循环在预后地球系统模型(ESM)中的响应给全球气候变化的预测带来了很大的不确定性。量化大气中二氧化碳(CO_2)增长率的年际变化的已知驱动因素的贡献对于提高这些ESM中陆地生态系统过程的代表性非常重要。最近的几项研究通过分析单个全球平均的CO_2异常时间序列,确定了热带净生态系统交换(NEE)对温度的依赖性是这种变化的主要驱动因素。在这里,我们研究了如何使用不同纬度带中CO_2的时间演变来区分温度应力,干旱应力和火源对CO_2变异性的影响。在1997-2011年间,我们使用大气传输模型从上述每种机制开发了大气CO_2模式。 NEE对温度的响应,NEE对干旱的响应以及火的排放都对每个纬度带的CO_2变异都有显着影响,表明没有单一的机制是主导因素。我们发现,干旱和火灾对CO_2变异性的贡献之和超过了北半球和南半球对温度的直接NEE响应。其他敏感性测试表明,这些贡献被CO_2观测值的时空平滑掩盖了。考虑到火灾,热带NEE对温度应力的敏感性降低了25%,降至2.9±0.4 Pg C yr〜(-1)K〜(-1)。这些结果强调了在使用当代观测值来约束长期ESM响应之前,需要准确归因于CO_2变异性的驱动因素。

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