Modelling the Whole Profile Soil Organic Carbon Dynamics Considering Soil Redistribution under Future Climate Change and Landscape Projections over the Lower Hunter Valley, Australia
Modelling the Whole Profile Soil Organic Carbon Dynamics Considering Soil Redistribution under Future Climate Change and Landscape Projections over the Lower Hunter Valley, Australia
复制标题
考虑未来气候变化下的土壤重新分布和澳大利亚下猎人谷景观预测的整体土壤有机碳动态建模
DOI：
10.3390/land12010255
复制
发表时间：
2023
期刊：
影响因子：
3.9
通讯作者：
A. McBratney
中科院分区：
文献类型：
--
作者：
Yuxin Ma;B. Minasny;V. Viaud;C. Walter;B. Malone;A. McBratney
土壤有机碳（SOC）的储存和再分布（通过侵蚀和沉积）与土壤理化性质有关，并可能影响土壤质量。然而，土壤侵蚀和SOC的时空变异性仍然是不确定的。土壤再分配是否会导致SOC的增加或减少一直是人们争论的焦点。这些考虑因素不能使用传统的土壤碳模型和数字土壤测绘建模。本文提出了一个耦合模型相结合的RothPC-1，考虑土壤碳（C）下降到1 m和土壤再分配模型。土壤再分布组件基于使用多方向流（FD 8）算法的元胞自动机技术。利用基于土地利用的优化输入值，我们模拟了20世纪70年代至2016年澳大利亚新南威尔士州下猎人谷地区（11，300公顷）1 m土壤剖面的SOC变化。结果进行了比较，实地观察，并表明，侵蚀预测主要是在上坡地区和低洼地区的沉积。我们进一步模拟了该地区在三种气候情景和五种土地利用预测下从2017年到2045年的SOC趋势。不同预测下土壤有机碳变化的幅度和方向的变化表明，考虑土壤再分布影响土壤有机碳变化的主要因素是气候变化，控制土壤有机碳储量的变化趋势，其次是土地利用变化。在碳模型中忽略土壤侵蚀可能会导致高估SOC储量。本文提供了一个框架，将土壤再分布的SOC动态模拟，并假定的思想，土壤侵蚀不仅仅是一个清除过程，通过地表径流。
Soil organic carbon (SOC) storage and redistribution across the landscape (through erosion and deposition) are linked to soil physicochemical properties and can affect soil quality. However, the spatial and temporal variability of soil erosion and SOC remains uncertain. Whether soil redistribution leads to SOC gains or losses continues to be hotly debated. These considerations cannot be modelled using conventional soil carbon models and digital soil mapping. This paper presents a coupled-model combining RothPC-1 which considers soil carbon (C) down to 1 m and a soil redistribution model. The soil redistribution component is based on a cellular automata technique using the multi-direction flow (FD8) algorithm. With the optimized input values based on land use, we simulated SOC changes upon soil profiles to 1 m across the Lower Hunter Valley area (11,300 ha) in New South Wales, Australia from the 1970s to 2016. Results were compared to field observations and showed that erosion was predicted mostly in upslope areas and deposition in low-lying areas. We further simulated SOC trends from 2017 until ~2045 in the area under three climate scenarios and five land use projections. The variation in the magnitude and direction of SOC change with different projections shows that the main factors influencing SOC changes considering soil redistribution are climate change which controlled the trend of SOC stocks, followed by land use change. Neglecting soil erosion in carbon models could lead to an overestimation of SOC stocks. This paper provides a framework for incorporating soil redistribution into the SOC dynamics modelling and also postulates the thinking that soil erosion is not just a removal process by surface runoff.
影响因子：
3.7
作者：
Adhikari K;Hartemink AE;Minasny B;Bou Kheir R;Greve MB;Greve MH
通讯作者：
Greve MH