Historical and future dynamics of soil organic carbon and driving mechanisms in mountainous soils of China

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Lei Zhang , Tongtong Xu , Yue Bai , Martin Wiesmeier , Huiwen Li , Yue Huang , Yu Liu , Beilong Xie , Mingrui Song , Jiaru Wu , Chen Liu
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Abstract

Mountain ecosystems exhibit unique microclimate conditions and high plant diversity, resulting in heterogeneous patterns and dynamics of soil organic carbon (SOC). Climate change strongly impacts the spatial and temporal dynamics of SOC, yet long-term spatiotemporal variations of SOC stocks in mountainous soils and their responses to climate change are not well understood. In this study, we employed machine learning to comprehensively investigate the spatiotemporal distribution patterns of SOC and their drivers in the Qinling Mountains from 2006 to 2022, and further projected future SOC trajectories under different climate scenarios. Results showed that the SOC pools within the top 20 cm were 1.20 Pg C. Forest ecosystems accounted for the largest proportion (74 %), followed by cropland (18 %), grassland (7 %), and shrub ecosystems (1 %). Overall, SOC in the Qinling Mountains significantly increased from 2006 to 2022. Nevertheless, the SOC in forest ecosystems of high-altitude regions exhibited a declining trend, suggesting that SOC in high-altitude forests is more sensitive to climate change and more likely to be lost. A structural equation model revealed that climate drivers (mean annual temperature and aridity index) negatively affected SOC through both direct and indirect pathways, which indicates the risk of soil carbon losses in mountains due to warming and drought. In contrast, gross primary productivity positively impacted SOC, underscoring the decisive role of plant carbon inputs in SOC accumulation in mountain ecosystems. Comparatively, soil characteristics and topographical features had little effect on SOC. Our projections further indicated an increase in SOC under the low-emission scenario (SSP1-1.9), while SOC would decrease under medium (SSP2-4.5) and high-emission (SSP5-8.5) scenarios. This study suggests that future global warming will lead to the loss of SOC in mountainous soils. Therefore, ecosystem protection, particularly for high-altitude forests, could effectively maintain SOC sequestration capacity and mitigate the negative impacts of climate change.
中国山地土壤有机碳的历史与未来动态及其驱动机制
山地生态系统具有独特的小气候条件和丰富的植物多样性,导致土壤有机碳(SOC)格局和动态的异质性。气候变化强烈影响山地土壤有机碳的时空动态,但目前尚不清楚山地土壤有机碳储量的长期时空变化及其对气候变化的响应。本研究采用机器学习方法,对2006 - 2022年秦岭地区土壤有机碳及其驱动因素的时空分布格局进行了综合研究,并进一步预测了不同气候情景下未来土壤有机碳的变化轨迹。结果表明:森林生态系统占比最大(74%),其次是农田(18%)、草地(7%)和灌木生态系统(1%);总体而言,2006 - 2022年秦岭土壤有机碳显著增加。然而,高海拔地区森林生态系统碳含量呈下降趋势,表明高海拔森林碳含量对气候变化更敏感,更容易丧失。结构方程模型表明,气候驱动因子(年平均温度和干旱指数)通过直接和间接途径对土壤有机碳产生负向影响,表明气候变暖和干旱对山区土壤碳损失的风险。而总初级生产力对有机碳有显著的正向影响,说明植物碳输入对山地生态系统有机碳积累具有决定性作用。相比之下,土壤特征和地形特征对有机碳的影响较小。低排放情景(SSP1-1.9)下碳含量增加,中排放情景(SSP2-4.5)和高排放情景(SSP5-8.5)下碳含量减少。该研究表明,未来全球变暖将导致山地土壤有机碳的流失。因此,生态系统保护,特别是对高海拔森林的生态系统保护,可以有效地保持碳固存能力,缓解气候变化的负面影响。
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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来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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