A revised model of global silicate weathering considering the influence of vegetation cover on erosion rate

Haoyue Zuo, Yonggang Liu, Gaojun Li, Zhifang Xu, Liang Zhao, Zhengtang Guo, Yongyun Hu
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Abstract

Abstract. Silicate weathering, which is of great importance in regulating the global carbon cycle, has been found to be affected by complicated factors, including climate, tectonics and vegetation. However, the exact transfer function between these factors and the silicate weathering rate is still unclear, leading to large model–data discrepancies in the CO2 consumption associated with silicate weathering. Here we propose a simple parameterization for the influence of vegetation cover on erosion rate to improve the model–data comparison based on a state-of-the-art silicate weathering model. We found out that the current weathering model tends to overestimate the silicate weathering fluxes in the tropical region, which can hardly be explained by either the uncertainties in climate and geomorphological conditions or the optimization of model parameters. We show that such an overestimation of the tropical weathering rate can be rectified significantly by parameterizing the shielding effect of vegetation cover on soil erosion using the leaf area index (LAI), the high values of which are coincident with the distribution of leached soils. We propose that the heavy vegetation in the tropical region likely slows down the erosion rate, much more so than thought before, by reducing extreme streamflow in response to precipitation. The silicate weathering model thus revised gives a smaller global weathering flux which is arguably more consistent with the observed value and the recently reconstructed global outgassing, both of which are subject to uncertainties. The model is also easily applicable to the deep-time Earth to investigate the influence of land plants on the global biogeochemical cycle.
考虑植被对侵蚀率影响的全球硅酸盐风化修正模型
摘要硅酸盐风化对调节全球碳循环具有重要意义,它受气候、构造和植被等复杂因素的影响。然而,这些因素与硅酸盐风化速率之间的确切传递函数尚不清楚,导致与硅酸盐风化相关的二氧化碳消耗量模型与数据之间存在较大差异。在此,我们基于最先进的硅酸盐风化模型,就植被覆盖对侵蚀速率的影响提出了一个简单的参数化,以改进模型与数据的比较。我们发现,目前的风化模型倾向于高估热带地区的硅酸盐风化通量,这很难用气候和地貌条件的不确定性或模型参数的优化来解释。我们的研究表明,通过使用叶面积指数(LAI)对植被覆盖对土壤侵蚀的屏蔽作用进行参数化,可以显著纠正这种对热带风化速率的高估。我们提出,热带地区的大量植被很可能通过减少降水时的极端溪流来减缓土壤侵蚀速度,其减缓程度远超之前的设想。由此修订的硅酸盐风化模型给出了一个较小的全球风化通量,这可以说与观测值和最近重建的全球放气量(两者都存在不确定性)更加一致。该模型也很容易应用于深时地球,以研究陆地植物对全球生物地球化学循环的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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