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Holocene carbon dynamics at the forest-steppe ecotone of southern Siberia

机译:西伯利亚南部森林草原生态交错带的全新世碳动态

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摘要

The forest–steppe ecotone in southern Siberia is highly sensitive to climate change; global warming is expected to\udpush the ecotone northwards, at the same time resulting in degradation of the underlying permafrost. To gain a dee-\udper understanding of long-term forest–steppe carbon dynamics, we use a highly resolved, multiproxy, palaeolimno-\udlogical approach, based on sediment records from Lake Baikal. We reconstruct proxies that are relevant to\udunderstanding carbon dynamics including carbon mass accumulation rates (CMAR; g C m\ud2\udyr\ud1\ud) and isotope com-\udposition of organic matter (d\ud13\udC\udTOC\ud). Forest–steppe dynamics were reconstructed using pollen, and diatom records\udprovided measures of primary production from near- and off-shore communities. We used a generalized additive\udmodel (GAM) to identify significant change points in temporal series, and by applying generalized linear least-\udsquares regression modelling to components of the multiproxy data, we address (1) What factors influence carbon\uddynamics during early Holocene warming and late Holocene cooling? (2) How did carbon dynamics respond to\udabrupt sub-Milankovitch scale events? and (3) What is the Holocene carbon storage budget for Lake Baikal. CMAR\udvalues range between 2.8 and 12.5 g C m\ud2\udyr\ud1\ud. Peak burial rates (and greatest variability) occurred during the early\udHolocene, associated with melting permafrost and retreating glaciers, while lowest burial rates occurred during the\udneoglacial. Significant shifts in carbon dynamics at 10.3, 4.1 and 2.8 kyr\udBP provide compelling evidence for the sensi-\udtivity of the region to sub-Milankovitch drivers of climate change. We estimate that 1.03 Pg C was buried in Lake\udBaikal sediments during the Holocene, almost one-quarter of which was buried during the early Holocene alone.\udCombined, our results highlight the importance of understanding the close linkages between carbon cycling and\udhydrological processes, not just temperatures, in southern Siberian environments.
机译:西伯利亚南部的森林草原过渡带对气候变化高度敏感。预计全球变暖将使该过渡带向北推动,同时导致潜在的多年冻土退化。为了对森林-草原的长期碳动态有更深入的了解,我们基于贝加尔湖的沉积物记录,采用了高度解析的多代理古古生物学方法。我们重建与\了解碳动态相关的代理,包括碳质量累积率(CMAR; g C m \ ud•2 \ udyr \ ud•1 \ ud)和有机物的同位素组成(d \ ud13 \ udC \ udTOC \ ud)。利用花粉重建了森林-草原的动态,硅藻记录\未提供近岸和近岸社区的初级生产量度。我们使用广义加性\ udmodel(GAM)识别时间序列中的重要变化点,并且通过对multiproxy数据的组成部分应用广义线性最小二乘方平方回归模型,我们可以解决(1)早期影响碳\乌德动力学的因素全新世变暖和晚期全新世冷却? (2)碳动力学如何对\突然爆发的亚米兰科维奇尺度事件做出反应? (3)贝加尔湖的全新世碳存储预算是多少? CMAR \ udvalue的范围介于2.8和12.5 g C m \ ud•2 \ udyr \ ud•1 \ ud。埋葬率最高(且变化最大)发生在全新世早期,与永久冻土融化和后退冰川有关,而最低埋葬率发生在冰川期。碳动力学在10.3、4.1和2.8 kyr \ udBP处的显着变化为该地区对气候变化的Milankovitch次驱动力的敏感性提供了令人信服的证据。我们估计,在全新世期间,1.03 Pg C被埋在了湖\ ud贝加尔湖的沉积物中,其中仅四分之一就被沉积在了全新世早期。\ ud结合起来,我们的结果突出了理解碳循环与水文学之间紧密联系的重要性。西伯利亚南部环境中的过程,而不仅仅是温度。

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