Atmospheric methane variability through the Last Glacial Maximum and deglaciation mainly controlled by tropical sources

Atmospheric methane variability through the Last Glacial Maximum and deglaciation mainly controlled by tropical sources
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DOI:
10.1038/s41561-023-01332-x
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发表时间:
2023-11
期刊:
影响因子:
18.3
通讯作者:
Ben Riddell-Young;J. Rosen;Edward Brook;C. Buizert;Kaden Martin;James E. Lee;J. Edwards;
Ben Riddell-Young;J. Rosen;Edward Brook;C. Buizert;Kaden Martin;James E. Lee;J. Edwards;
中科院分区:
地球科学1区
文献类型:
--
作者:
Ben Riddell-Young;J. Rosen;Edward Brook;C. Buizert;Kaden Martin;James E. Lee;J. Edwards;

文献摘要

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Constraining the causes of past atmospheric methane variability is important for understanding links between methane and climate. Abrupt methane changes during the last deglaciation have been intensely studied for this purpose, but the relative importance of high-latitude and tropical sources remains poorly constrained. The methane interpolar concentration difference reflects past geographic emission variability, but existing records suffered from subtle but considerable methane production during analysis. Here, we report an ice-core-derived interpolar difference record covering the Last Glacial Maximum and deglaciation, with substantially improved temporal resolution, chronology and a critical correction for methane production in samples from Greenland. Using box models to infer latitudinal source changes, we show that tropical sources dominated abrupt methane variability of the deglaciation, highlighting their sensitivity to abrupt climate change and rapidly shifting tropical rainfall patterns. Northern extratropical emissions began increasing ~16,000 years ago, probably through wetland expansion and/or permafrost degradation induced by high-latitude warming, and contributed at most 25 Tg yr−1(45% of the total emission increase) to the abrupt methane rise that coincided with rapid northern warming at the onset of the Bølling–Allerød interval. These constraints on deglacial climate–methane cycle interactions can improve the understanding of possible present and future feedbacks.