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首页> 外文期刊>Theoretical and applied climatology >The role of ecosystem-atmosphere interactions in simulated Amazonian precipitation decrease and forest dieback under global climate warming
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The role of ecosystem-atmosphere interactions in simulated Amazonian precipitation decrease and forest dieback under global climate warming

机译:全球气候变暖下生态系统-大气相互作用在模拟亚马逊河降水减少和森林枯竭中的作用

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摘要

A suite of simulations with the HadCM3LC coupled climate-carbon cycle model is used to examine the various forcings and feedbacks involved in the simulated precipitation decrease and forest dieback. Rising atmospheric CO_2 is found to contribute 20% to the precipitation reduction through the physiological forcing of stomatal closure, with 80% of the reduction being seen when stomatal closure was excluded and only radiative forcing by CO_2 was included. The forest dieback exerts two positive feedbacks on the precipitation reduction; a biogeophysical feedback through reduced forest cover suppressing local evaporative water recycling, and a biogeochemical feedback through the release of CO_2 contributing to an accelerated global warming. The precipitation reduction is enhanced by 20% by the biogeophysical feedback, and 5% by the carbon cycle feedback from the forest dieback. This analysis helps to explain why the Amazonian precipitation reduction simulated by HadCM3LC is more extreme than that simulated in other GCMs; in the fully-coupled, climate-carbon cycle simulation, approximately half of the precipitation reduction in Amazonia is attributable to a combination of physiological forcing and biogeophysical and global carbon cycle feedbacks, which are generally not included in other GCM simulations of future climate change. The analysis also demonstrates the potential contribution of regional-scale climate and ecosystem change to uncertainties in global CO_2 and climate change projections. Moreover, the importance of feedbacks suggests that a human-induced increase in forest vulnerability to climate change may have implications for regional and global scale climate sensitivity.
机译:使用HadCM3LC耦合的气候-碳循环模型进行的一系列模拟研究了与模拟的降水减少和森林枯竭有关的各种强迫和反馈。通过气孔关闭的生理强迫,发现大气中CO_2的上升对降水减少有20%的贡献,当排除气孔关闭而仅包括CO_2的辐射强迫时,可以看到80%的减少。森林的枯竭对降水减少产生了两个积极的反馈。通过减少森林覆盖来抑制局部蒸发水的再循环来提供生物地球物理反馈,以及通过释放CO_2来促进全球变暖的生物地球化学反馈。通过生物地球物理反馈,减少的降水量增加了20%,通过森林枯萎的碳循环反馈,减少了5%。该分析有助于解释为什么HadCM3LC模拟的亚马逊降水减少量比其他GCM模拟的减少幅度更大。在完全耦合的气候-碳循环模拟中,亚马逊地区约有一半的降水减少是由于生理强迫和生物地球物理以及全球碳循环反馈的综合作用,而其他GCM对未来气候变化的模拟通常不包括这些反馈。分析还证明了区域尺度的气候和生态系统变化对全球CO_2和气候变化预测中不确定性的潜在贡献。此外,反馈的重要性表明,人为引起的森林对气候变化脆弱性的增加可能会对区域和全球范围的气候敏感性产生影响。

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