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植被特征对青藏高原湿地土壤氮转化及微生物功能基因的影响

Effects of vegetation characteristics on soil nitrogen transformation and microbial functional genes in wetlands on the Qinghai-Tibet Plateau

  • 摘要: 植物是湿地生态系统的重要组成部分,可通过改变土壤微环境、释放根际分泌物等多种途径调控湿地土壤的氮转化过程。为明确植被特征对土壤氮转化过程速率及功能基因丰度的影响,本研究在青藏高原选取26个典型湿地采集了根际土和裸土样品,测定了土壤净氮矿化速率(NMR)、潜在硝化速率(PNR)、净硝化速率(NNR)、潜在反硝化速率(PDR)、背景反硝化速率(UDR)以及N2O产生速率,并通过实时荧光定量PCR法测得土壤微生物gdhA、amoA、norB和16S rRNA基因的绝对丰度。结果显示:(1)根际土的PNR显著低于裸土,而NMR和PDR显著高于裸土。根际土的gdhAamoAnorB和16S rRNA基因丰度均显著高于裸土。(2)NMR与植物地上生物量和比叶面积呈显著正相关,与叶片总氮含量呈显著负相关。PNR与植被Simpson指数呈显著正相关,NNR与叶片总磷含量呈显著负相关。UDR与植被Pielou指数呈显著正相关。(3)植物生物量直接影响土壤氮矿化,并可通过改变土壤理化性质间接调控氮矿化过程。植物生物量和功能性状可通过土壤理化性质间接调控硝化和反硝化过程。研究结果说明,植被对土壤氮转化速率及微生物功能基因丰度有一定调控作用,植物应作为重要生物因素纳入高寒湿地氮转化驱动机制研究和湿地氮素管理中。

     

    Abstract: Plants play a pivotal role in shaping wetland ecosystems and soil nitrogen dynamics by modifying the soil microenvironment, releasing rhizosphere exudates, and influencing microbial processes. To clarify the effects of vegetation characteristics on nitrogen transformation rates and associated microbial functional gene abundance, rhizosphere and bulk soil samples were collected from 26 representative wetlands on the Qinghai-Tibet Plateau. Key nitrogen transformation parameters, including net nitrogen mineralization rate (NMR), potential nitrification rate (PNR), net nitrification rate (NNR), potential denitrification rate (PDR), background denitrification rate (UDR), and N2O production rate, were quantified. In parallel, the absolute abundances of gdhA, amoA, norB, and 16S rRNA genes were measured using quantitative real-time polymerase chain reaction (PCR). Results showed that: (1) Rhizosphere soils exhibited significantly higher NMR and PDR but lower PNR compared to bulk soils. Additionally, rhizosphere soils harbored significantly greater abundances of gdhA, amoA, norB, and 16S rRNA genes. (2) NMR was significantly positively correlated with aboveground biomass and specific leaf area but negatively correlated with leaf total nitrogen content. PNR was significantly positively correlated with the Simpson index, while NNR was significantly negatively correlated with leaf total phosphorus content. UDR was significantly positively correlated with the Pielou index. (3) Structural relationships further revealed that plant biomass directly affected nitrogen mineralization and indirectly modulated this process via alterations in soil physicochemical properties. Plant biomass and functional traits also indirectly regulated nitrification and denitrification via soil physical and chemical pathways. These findings highlight the regulatory role of vegetation characteristics in mediating soil nitrogen transformation and functional gene abundance, underscoring the importance of integrating plant traits into assessments of nitrogen cycling mechanisms and management strategies in alpine wetlands.

     

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