内蒙古温带草原不同草地类型土壤有机碳和无机碳储量对总碳储量的贡献及其驱动因素
收稿日期: 2024-12-06
录用日期: 2025-04-16
网络出版日期: 2025-04-17
基金资助
国家自然科学基金(32271625);国家自然科学基金(32330066);国家自然科学基金(32125025);国家重点研发计划(2022YFF0801901)
Contributions of soil organic carbon and inorganic carbon stocks to total soil carbon stock and their driving factors across different types in Nei Mongol temperate grasslands
Received date: 2024-12-06
Accepted date: 2025-04-16
Online published: 2025-04-17
Supported by
National Natural Science Foundation of China(32271625);National Natural Science Foundation of China(32330066);National Natural Science Foundation of China(32125025);National Key R&D Program of China(2022YFF0801901)
草地土壤碳库作为陆地生态系统碳库的核心组分, 其有机和无机组分在陆地碳循环和气候反馈中发挥着重要作用。然而, 现有研究多聚焦于土壤有机碳动态, 对综合考量两种组分的碳储量调控机制认知不足, 且对不同草地类型土壤碳储量在组分和空间分布的整体认识仍有待深化。该研究基于内蒙古温带草地的实地调查, 选取典型草原和草甸草原两种主要草地类型, 测定土壤理化性质、植物生物量及化学性状, 以及微生物生物量碳和群落组成。在此基础上, 利用增强回归树和结构方程模型, 探究气候、土壤、植物和微生物四类因素对土壤总碳及其有机和无机组分储量的相对重要性, 并探讨其潜在影响机制。研究发现, 典型草原0-60 cm土壤无机碳储量((2.75 ± 0.15) kg C·m-2)显著高于草甸草原((0.45 ± 0.03) kg C·m-2), 而土壤有机碳储量无显著差异(分别为(8.61 ± 0.19)和(8.32 ± 0.17) kg C·m-2), 致使典型草原的土壤总碳储量显著高于草甸草原。两类草地土壤有机碳含量均随深度递减; 但土壤无机碳含量在典型草原深层积累, 而草甸草原无此趋势。植被特征、气候和土壤属性等多种生物和非生物因素共同驱动了土壤总碳及其有机和无机组分储量的变化。不同草地类型土壤碳储量的主要调控因素存在差异: 在受水分限制较强的典型草原, 土壤碳储量主要受气候因素的调控; 而水分条件较好的草甸草原, 更多受到土壤因素的影响。该结果为准确评估温带草地土壤碳储量, 理解多因素交互作用下的土壤碳储量分配机制提供了科学依据。
关键词： 温带草地; 土壤碳储量; 土壤碳组分; 有机-无机碳耦合; 气候-植物-土壤互作
常鹏飞 , 李平 , 纳尔斯格 , 王静 , 王振华 , 杨森 , 贾舟 , 杨璐 , 刘玲莉 , 邓美凤 . 内蒙古温带草原不同草地类型土壤有机碳和无机碳储量对总碳储量的贡献及其驱动因素[J]. 植物生态学报, 2025 , 49(9) : 1374 -1387 . DOI: 10.17521/cjpe.2024.0443
Aims As a key component of terrestrial ecosystem carbon pools, soil carbon storage in grasslands, encompassing both soil organic carbon (SOC) and soil inorganic carbon (SIC) pools, plays a crucial role in terrestrial carbon cycling and climate feedback. However, current research has primarily focused on SOC dynamic, while the regulatory mechanisms governing the storage of both SOC and SIC remain poorly understood. The comprehensive understanding of soil carbon storage, including its composition and spatial distribution across different grassland types, is still lacking.
Methods Here, we conducted a field survey in temperate grasslands of Nei Mongol, selecting two grassland types: typical steppe and meadow steppe. We measured soil physicochemical properties, plant biomass and chemical traits, as well as microbial biomass carbon and community composition. Based on these data, we applied boosted regression trees and structural equation modeling to investigate the relative importance of the four explanatory factors—climatic, edaphic, vegetational, and microbial variables, in shaping total soil carbon storage and its organic and inorganic components. Additionally, we explored the mechanisms underlying their influence.
Important findings This study found that the SIC stock in the 0-60 cm soil layer of typical steppe ((2.75 ± 0.15) kg C·m-2) was significantly higher than that in meadow ((0.45 ± 0.03) kg C·m-2), while there was no significant difference in soil organic carbon storage ((8.61 ± 0.19) kg C·m-2 for typical steppe and (8.32 ± 0.17) kg C·m-2 for meadow), resulting in a significantly higher total soil carbon storage in typical grasslands compared to meadow grasslands. The SOC content of both grassland types decreased with soil depth. However, the SIC content in typical steppe exhibited pronounced accumulation in deeper soil layers, a pattern that was absent in meadow. Biotic and abiotic factors, including vegetation characteristics, climate, and soil properties, jointly influenced total soil carbon and its SOC and SIC components, with distinct regulatory mechanisms between grassland types. In typical steppe with strong water limitations, soil carbon storage was primarily regulated by climate factors, whereas in meadow steppe with relatively higher moisture availability, soil properties played a more prominent role. These findings provide a scientific basis for accurately assessing the soil carbon storage in temperate grasslands and enhance our understanding of the distribution mechanisms of soil carbon under multi-factor interactions.
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