A landscape-scale view of soil organic matter dynamics

Sebastian Doetterl, Asmeret Asefaw Berhe, Katherine Heckman, Corey Lawrence, Jörg Schnecker, Rodrigo Vargas, Cordula Vogel, Rota Wagai
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Abstract

Soil carbon is an important component of the terrestrial carbon cycle and could be augmented through improved soil management to mitigate climate change. However, data gaps for numerous regions and a lack of understanding of the heterogeneity of biogeochemical processes across diverse soil landscapes hinder the development of large-scale representations of soil organic matter (SOM) dynamics. In this Perspective, we outline how understanding soil formation processes and complexity at the landscape scale can inform predictions of soil organic matter (SOM) cycling and soil carbon sequestration. Long-term alterations of the soil matrix caused by weathering and soil redistribution vary across climate zones and ecosystems, but particularly with the structure of landscapes at the regional scale. Thus, oversimplified generalizations that assume that the drivers of SOM dynamics can be scaled directly from local to global regimes and vice versa leads to large uncertainties in global projections of soil C stocks. Data-driven models with enhanced coverage of underrepresented regions, particularly where soils are physicochemically distinct and environmental change is most rapid, are key to understanding C turnover and stabilization at landscape scales to better predict global soil carbon dynamics. Soil carbon cycling is closely linked with landscape complexities in soil properties, climate and land use. This Perspective outlines how soil formation theory could provide insight on landscape-scale soil–carbon interactions as well as carbon sequestration and improve predictions of future soil organic matter dynamics.

Abstract Image

景观尺度下的土壤有机质动态
土壤碳是陆地碳循环的重要组成部分,可以通过改善土壤管理来增加土壤碳含量,从而减缓气候变化。然而,众多地区的数据缺口以及对不同土壤景观中生物地球化学过程的异质性缺乏了解,阻碍了土壤有机质(SOM)动态大尺度表征的发展。在本《视角》中,我们将概述了解景观尺度上的土壤形成过程和复杂性如何为预测土壤有机质循环和土壤固碳提供信息。由风化和土壤再分布引起的土壤基质的长期变化在不同气候带和生态系统中各不相同,尤其是在区域尺度上与地貌结构有关。因此,假设 SOM 动态的驱动因素可以从局部直接扩展到全球,反之亦然的过于简单的概括会导致全球土壤碳储量预测的巨大不确定性。数据驱动的模型应加强对代表性不足地区的覆盖,尤其是土壤理化性质独特、环境变化最迅速的地区,这是了解碳在景观尺度上的周转和稳定,从而更好地预测全球土壤碳动态的关键。土壤碳循环与土壤特性、气候和土地利用等景观复杂性密切相关。本视角概述了土壤形成理论如何为景观尺度的土壤-碳相互作用以及碳固存提供见解,并改进对未来土壤有机质动态的预测。
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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