磷
氮气
垃圾箱
环境科学
化学计量学
碳纤维
生态化学计量学
土壤碳
农学
环境化学
土壤科学
化学
土壤水分
材料科学
生物
复合数
复合材料
有机化学
作者
R. Q. Wang,Songan Zhang,Guanglei Gao,Guodong Ding,Ying Zhang,Binbin Zhu
出处
期刊:PubMed
[National Institutes of Health]
日期:2025-06-01
卷期号:36 (6): 1699-1707
标识
DOI:10.13287/j.1001-9332.202506.001
摘要
To investigate the carbon (C), nitrogen (N), and phosphorus (P) stoichiometry of the litter-root-soil system and the driving factors for their variations in the Pinus sylvestris var. mongolica plantations, we analyzed the contents and stoichiometric ratios of organic carbon, total nitrogen and total phosphorus in litter, roots and soil across 27-year-old (middle-aged), 38-year-old (nearly-mature) and 47-year-old (mature) plantations in Hulunbuir sandy land, with natural forests as a control. The results showed that with increases of stand age, N and P contents showed a trend of decreasing and then increasing in the decomposing layer of the litter, and the C:N and C:P in semi-decomposing layer were significantly higher in near-mature than in middle-aged and mature plantations. The N content in the semi-decomposing layer of litter in natural forests was 17.3% lower than that in plantations. The N:P in the decomposing layer of natural forests was 16.2% lower than that in plantations. With the increases of stand age, root C content showed an increasing trend, and the N content exhibited a decreasing and then increasing trend. Root C:N of middle-aged was significantly lower than that in near-mature plantations. The root C:P of middle-aged and near-mature was significantly lower than that in mature plantations. Root P content was 41.0% higher than that in natural forests. The soil C and P content as well as the C:N and C:P were significantly lower in plantations than in natural forests. The rhizosphere and bulk soils of natural forests with N:P of 3.7 and 3.1 were significantly lower than that of plantations. Cellulase was the main driver of stoichiometric characteristics of litter, while acid phosphatase was the main driver for both root and soil.
科研通智能强力驱动
Strongly Powered by AbleSci AI