高级检索+

加气灌溉下土壤呼吸与环境因子相关性研究

Correlation of Soil Respiration and Environmental Factors under Aerated Irrigation

  • 摘要: 为探明加气灌溉技术对土壤呼吸速率的影响及调控机制,完善加气灌溉技术下土壤呼吸排放机理,以国家土壤质量湛江观测实验站为平台开展为期3年(2019—2021年)的定位试验,每年开展2次试验观测,研究加气灌溉(Aerated irrigation, AI)和不加气灌溉(CK)两种处理对土壤呼吸速率、土壤温度、含水率、含氧量、土壤细菌生物量及根系生物量的影响,采用偏最小二乘回归分析(Partial least square regression analysis, PLSR)方法建立两种处理下土壤呼吸速率与土壤温度、含水率、含氧量、土壤细菌生物量及根系生物量的回归方程,筛选出加气灌溉技术下影响土壤呼吸速率变化的主要土壤环境因子。研究结果表明,AI处理后土壤呼吸速率和土壤含氧量分别提高12.30%~20.54%和19.90%~25.70%,同时植株根系生物量和土壤细菌生物量分别提高15.30%~22.67%和35.10%~69.17%,土壤含水率降低3.36%~14.30%,不同处理对土壤温度影响不显著。回归拟合结果表明,两种处理下土壤呼吸速率与土壤温度、土壤含水率均呈二次多项式负相关关系,与土壤含氧量呈线性正相关,与根系生物量呈幂函数正相关,与土壤细菌生物量呈指数正相关。PLSR模型的变量重要性投影(Variable importance for projection, VIP)值表明土壤温度(VIP值为1.48)、土壤含氧量(VIP值为1.40)、根系生物量(VIP值为1.25)和细菌生物量(VIP值为1.09)是影响土壤呼吸速率变化的主要影响因子,加气灌溉技术可以通过改变土壤含氧量、根系生物量及细菌生物量对土壤呼吸速率产生驱动作用。研究结果可为完善加气灌溉下土壤呼吸速率变化响应机理、合理制定有效的土壤碳排放调控管理措施提供理论依据。

     

    Abstract: In order to investigate the effect of aerated irrigation technology on soil respiration rate and its regulation mechanism, and improve the mechanism of soil respiration emission under aerated irrigation technology, a three-year(2019—2021) localization experiment was conducted at the National Soil Quality Zhanjiang Observatory as a platform, with two experimental observations each year, to investigate the effects of aerated irrigation(AI) and non-aerated irrigation(CK) on soil respiration rate, soil temperature, water content, oxygen content, soil bacterial biomass and root biomass. The results showed that AI treatments increased soil respiration rate and soil oxygen content by 12.30%~20.54% and 19.90%~25.70%, respectively, increased plant root biomass and soil bacterial biomass by 15.30%~22.67% and 35.10%~69.17%, respectively, and decreased soil water content by 3.36%~14.30%. The effects of different treatments on soil temperature were not significant. The regression fitting results showed that soil respiration rate under both treatments had a negative quadratic polynomial correlation with soil temperature and soil water content, a linear positive correlation with soil oxygen content, a positive power function correlation with root biomass, and an exponential positive correlation with soil bacterial biomass. The variable importance for projection(VIP) values of the PLSR model indicated that soil temperature and soil water content were not significantly affected by the different treatments. VIP values indicated that soil temperature(VIP 1.48), soil oxygen content(VIP 1.40), root biomass(VIP 1.25) and bacterial biomass(VIP 1.09) were the main influencing factors on the changes of soil respiration rate. Soil respiration rate can be driven by aerated irrigation by changing soil oxygen content, root biomass and bacterial biomass. The research reuslt can provide a theoretical basis for improving the response mechanism of soil respiration rate change under aerated irrigation and formulating effective soil carbon emission control management measures.

     

/

返回文章
返回