川西亚高山3种典型森林土壤碳矿化特征

发布时间：2018-08-04 19:01

【摘要】：为了解森林转化对土壤碳矿化过程的影响,采用室内培养法对川西亚高山3种典型森林(天然林、桦木次生林和云杉人工林)土壤碳矿化过程进行219 d的动态监测.结果表明,3种森林土壤碳矿化速率随培养时间增加而下降,矿化积累量随时间增加而增加,土壤有机层碳矿化速率和积累量均显著高于对应矿质土壤层;在土壤有机层,天然林和桦木次生林土壤碳矿化速率和积累量均显著高于云杉人工林,而在矿质土壤层3种森林无显著差异.培养结束时,3种森林有机层矿化积累量占总有机碳比值分别为11%、8%和11%,矿质土壤层分别为4%、6%和4%.森林群落、土壤层次和培养时间及三者交互作用对土壤碳矿化和积累量均有显著影响.土壤生物化学特性与土壤碳矿化率和积累量显著相关.单指数模型能很好地拟合土壤碳矿化特征.综上所述,森林转化对川西亚高山土壤碳矿化影响显著,主要表现在土壤有机层.
[Abstract]:In order to understand the influence of forest transformation on the process of soil carbon mineralization, the soil carbon mineralization process of 3 typical forests (natural forests, birch secondary forests and spruce artificial forests) in Western Sichuan was monitored by indoor culture method. The results showed that the rate of carbon mineralization in 3 forest soils decreased with the increase of culture time, and the amount of mineralization accumulated at any time. The carbon mineralization rate and accumulation of soil organic layer were significantly higher than that of the corresponding mineral soil layer. In soil organic layer, natural forest and birch secondary forest soil carbon mineralization rate and accumulation were significantly higher than that of spruce plantation, but there were no significant differences in 3 kinds of forest in mineral soil layer. At the end of culture, 3 kinds of forest organic layers were mineralized. The amount of total organic carbon was 11%, 8% and 11%, respectively, and the soil layer was 4%, 6% and 4%., respectively. The soil layer and the incubation time and the interaction of three had significant influence on the soil carbon mineralization and accumulation. The soil biochemical characteristics were closely related to the soil carbon mineralization rate and accumulation amount. The single index model could be well fitted. In summary, forest transformation has a significant effect on soil carbon mineralization in subalpine areas of Western Sichuan, mainly in the soil organic layer.
【作者单位】：四川农业大学生态林业研究所四川省林业生态工程重点实验室;四川农业大学高山森林生态系统定位研究站长江上游生态安全协同创新中心;
【基金】：国家自然科学基金项目(31570601,31570445,31500509) 中国博士后科学基金项目(2013M540714,2014T70880)资助~~
【分类号】：S714

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